49 Data Engineering jobs in the Philippines

Data Engineering Consultant

UnitedHealth Group

Posted 11 days ago

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Job Description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start **Caring. Connecting. Growing together.**
**Primary Responsibilities:**
+ Develop innovative solutions, create actionable insights and drive better decisions and performance to help the business achieve its business objectives
+ Coordination with all stake holders and Ensures Project Meets Requirements & Objectives
+ Establish a deep understanding of the business and collaborate with Business SMEs to shape the reporting solutions provided
+ Resolve issues as they arise across areas of the project and where they impact on other activities, systems and projects
+ Influences senior leadership to adopt new ideas, projects and / or approaches
+ Develops software solutions by studying information needs; conferring with users; studying systems flow, data usage, and work processes; investigating problem areas; Collaborating on solutions to those identified problem areas and following the software development lifecycle
+ Performs all tasks in the development life cycle including requirements analysis, design, development, and testing
+ Utilizes available programming methodologies and languages and adhere to coding standards, procedures and techniques while contributing to the technical code documentation
+ Creates and helps maintain technical and end-user documentation for new and existing applications
+ Performs all other related duties as assigned
+ Identify and help mitigate risks to the data and organizational health
+ Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
**Required Qualifications:**
+ 8+ years of work experience in Information Technology
+ 8+ years of experience in utilizing relational database tools like MS SQL Server, ETL (SSIS), Snowflake, Databrick
+ 2+ years of hands-on experience in Microsoft .NET Framework / .Net Core, Microservices, Rest API's, Python
+ Experience with SDLC such as Agile or Waterfall
+ Experience with Rally / Agile tools
+ Experience in establishing CI/CD and DevOps models for release pipelines - Jenkins, test automation
+ Good experience in systems design and applications development
+ Good knowledge in RDBMS concept
+ Good knowledge in SQL, PL/SQL, T SQL, SQL fine tuning
+ Healthcare domain knowledge
+ Sound understanding of object-oriented programming
+ Solid programming, debugging, unit testing and problem-solving skills
+ Solid technical background in SQL with extensive knowledge in design, development, testing, and maintaining data
+ Expert in Creating/Debugging Stored procedures: Handling transactions inside the stored procedures, Error handling in stored procedures
+ Proven ability to troubleshoot complex technology, software, and system solutions
+ Proven excellent critical thinking and problem problem-solving skills
**Preferred Qualification:**
+ Telephony data experience - Dialer systems, Integration with telephony systems etc.
_At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._
_Optum is a drug-free workplace. © 2025 Optum Global Solutions (Philippines) Inc. All rights reserved._
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Data Engineering Specialist

ncr Career Connect

Posted 467 days ago

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Job Description

Permanent

The Data Engineer helps manage data sources and environments, utilizing large data sets and maintaining their integrity to create models and apps that deliver insights to the organization.

You will:

Build and manage data models that bring together data from different sources.Help consolidate and cleanse data for use by the modeling and development teams.Structure data for use in analytics applications.Lead a team of Data Engineers effectivelyRequirements

Must-Have:

A minimum of 2 years of Advanced SQL knowledge and experience working with relational databasesA minimum of 2 years of Familiarity and hands-on experience in different SQL objects like stored procedures, functions, views, etc.,A minimum of 2 years Building data flow components and processing systems to extract, transform, load, and integrate data from various sources.College Graduate - Bachelor’s degree or equivalent

Good to have :

A Minimum of 2 years of strong cloud technology experience A minimum of 2 years of hands-on experience in advanced Excel topics such as cube functions, VBA Automation, Power Pivot, etc. Understanding of sales processes and systems.Master’s degree in a technical field.Experience with Python.Experience with quality assurance processes.Experience in project managementat least 2 years SQL experience working with relational databases
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Data Engineering Technical Lead

Chevron Corporation

Posted 2 days ago

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Job Description

**About Us**
Chevron is a leading multinational energy company with operations in over 180 countries. Founded in 1879, Chevron has a rich history of innovation and growth, making significant contributions to the global energy landscape.
Chevron markets Caltex® fuels, lubricants and other petroleum products in the Philippines. Our network of service stations, terminals and sales offices forms the backbone of our presence in the Philippines.
In March 2020, Chevron sold its 45% non-operated interest in the Malampaya natural gas field. This was the first natural gas development and largest industrial project in the Philippines.
From the Philippines, we provide operational support for Chevron offices on five continents. The workforce supplies transactional, processing and consulting services in areas ranging from finance to information technology.
Chevron operates through two subsidiaries in the Philippines. Our Downstream company is Chevron Philippines Inc. We also operate a business processes support organization through Chevron Holdings Inc.
There are two Chevron companies operating in the Philippines: Chevron Holdings Incorporated (CHI) and Chevron Philippines Incorporated (CPI).
CHI is a shared services center providing transactional, processing, and consulting services in the areas of finance and accounting, information technology, supply chain management, human resources, downstream customer service and marketing. Established in 1998, CHI serves Chevron affiliates in six continents around the world. Over the years, it has grown to be one of the leading members of the shared services industry in the Philippines.
CHI has received various recognitions as a top employer: the 2024 Circle of Excellence for CSR Company of the Year; 2024 Top 10 Fortune 500 companies; 2023 HR Asia best companies; 2022 Diversity Company of the Year; 2021 Asia's Best Employer Brand Award; 2021 Global Best Employer Brand Award; 2020 HR Asia Best Companies to Work for in Asia; 2019 Circle of Excellence, Top Employer Category at Asia CEO Awards, and the 2018 Wellness Company of the Year at the same Asia CEO Awards.
CPI markets the Caltex brand of top-quality fuels, lubricants, and petroleum products through a network of service stations, terminals and sales offices.
At Chevron, we believe humanity can solve any challenge - including meeting the world's energy needs of today, while advancing a cleaner energy tomorrow.
CPI markets the Caltex brand of top-quality fuels, lubricants, and petroleum products through a network of service stations, terminals and sales offices.
**About the Role**
The **Data Engineering** **Technic** **al Lead** role involves managing a team of IT professionals ensuring diverse top talent are retained. The role also involves overseeing the design, development and maintenance of different IT solutions ensuring security, reliability and scalability of solutions. The role requires engagement and partnership with different stakeholders and vendors.
+ Build team alignment, ensuring team has a clear understanding of the business global priorities. Hire, attract and retain talent for the delivery organization. Communicate and reinforce the desired work culture, including a focus on personal and process safety. Recognize accomplishments and team member contributions.
+ Engage effectively with stakeholders and delivery partners, including peers at other locations, to align and execute prioritized and strategic initiatives. Support the digital enablement of business workflows and manage overall team performance and escalate any concerns.
+ Oversee the execution and delivery of cost-effective, scalable and value driven IT solutions ensuing high availability and performance, integrating new technologies as needed. Enable others to work effectively and collaboratively in a multi-discipline, multi-function, multicultural, and matrix environment.
**About You**
We know our greatest resource is the ingenuity, creativity and innovation of our people. Applications from motivated and talented individuals with a keen interest in the energy industry are encouraged.
**Knowledge, Skills, and Experience:**
**Required Skills:**
+ Demonstrated ability to lead technical teams and provide solution architecture guidance. Your leadership style should improve engagement and motivation to promote innovation, accountability, and professional growth within your team.
+ A quick learner who can adapt and navigate in a dynamic environment through critical thinking and decision-making skills. Your organizational skills and ability to juggle multiple priorities without compromising quality.
+ Outstanding interpersonal and communication skills, both written and verbal. Able to work effectively across multiple teams and vendors and influence them on strategic goals. You should be able to negotiate towards a Win-Win outcome.
+ Broad technical IT Experience related to solution performance, reliability, cybersecurity, IT Compliance, outsourcing, modernization and agile delivery methodologies. Offer hands-on technical direction, ensuring solution is scalable, maintainable, and integrates with cutting-edge technologies.
**Preferred Qualifications:**
+ Bachelor's / Masters in Computer Science or related field. At least 5 years of experience in a technical lead or similar role in the data space. A proven track record of leading teams towards valuable outcomes.
+ Specific mastery in one of the data engineering sub competencies - data analysis, data engineering or data architecture. Must have deep understanding of full stack engineering and infrastructure (e.g. Azure services, integration and open source). Can lead designs, development and improvements of complex data products (multiple subject areas, derivations.) common information models and data pipelines. Experience developing with Azure services or open source tools, and knowledge of cloud architecture - 3+ years of experience.A bachelor's degree in computer science, Information Technology, or a related field. Advanced degrees or certifications or specialized training in relevant areas will be advantageous.
+ Proficiency in Cloud computing (e.g. Azure), Scripting (e.g. Ansible, BASH, PowerShell) and data analytics will be an added advantage
_Everything we do at Chevron is guided by our values and our commitment to The Chevron Way_ _( _. At the heart of The Chevron Way is our vision to be the global energy company most admired for its people, partnership, and performance._
_Participate in world-leading energy projects, advance your professional development and expand your career within an inclusive, collaborative and high-performing workplace._
**Benefits**
+ Competitive salary
+ Allowances, medical and optical reimbursements
+ Health care coverage for you and your eligible dependents
+ Robust employee centered programs for health and wellness
+ Time-off to promote healthy work-life balance or to care for your family
+ Annual corporate incentive bonus when the company meets established goals
+ Recognition & awards program
+ Long-term savings plan
+ Life insurance
+ Career development opportunities to all employees through onboarding, training and development, mentoring, volunteering opportunities and employee networking groups
+ Hybrid work model - work remotely from home several days a week
At Chevron, we are committed to fostering diversity and inclusion at all levels of our company and at all stages of the employee experience. We constantly strive to attract, develop and retain diverse Filipino talent. Globally, Chevron Corporation has achieved a rating of 100 percent in the Human Rights Campaign Equality Index for the past 17 years. The Index ranks American companies based on their commitment to equality in the workplace.
Connect with us:
Facebook ( ( participates in E-Verify in certain locations as required by law.
Chevron Corporation is one of the world's leading integrated energy companies. Through its subsidiaries that conduct business worldwide, the company is involved in virtually every facet of the energy industry. Chevron explores for, produces and transports crude oil and natural gas; refines, markets and distributes transportation fuels and lubricants; manufactures and sells petrochemicals and additives; generates power; and develops and deploys technologies that enhance business value in every aspect of the company's operations. Chevron is based in Houston, Texas. More information about Chevron is available at .
Chevron is an Equal Opportunity / Affirmative Action employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status, or other status protected by law or regulation.
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Lead Cloud Consultant - Data Architecture & Engineering (Remote)

National Capital Region, National Capital Region TASQ Staffing Solutions

Posted 25 days ago

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We are currently hiring for Lead Consultant - Data Architecture & Engineering

We look forward to reviewing your application and potentially working with you.

General Required Technical Skills:

  • Experience leading small to medium sized technical teams (this includes work allocation/distribution to team members, technical escalation and support, representing the team in Agile ceremonies and client meetings).
  • Expertise in designing and implementing logical and physical data models for cloud and hybrid data warehouse environments
  • Implementing data architectures to support a variety of data formats and structures including structured, semi-structured and unstructured data
  • Experience with multiple full life-cycle data warehouse implementations
  • Understanding of data architectures required to support data integration processing
  • Experience with data modeling technologies such as ER/Studio, ER/Win or similar
  • Experience with Microsoft Azure Data Platform services including Azure Data Lake Store, Azure Storage, Azure Synapse, Azure Data Factory, Azure SQL database, Logic Apps, APIs
  • Demonstrated ability to quickly learn, adopt and apply new technologies
  • Data profiling and creation of source to target mappings
  • Ability to provision and configure Azure data service resources

Detailed Required Skills:

  • Python & SQL Scripting
  • SQL, PySpark
  • General Cloud Architecture competency skillset
  • Capable of taking requirements and building out data pipelines
  • API Knowledge is required, but preference given to candidates who can create APIs

Preferred Experience/Skills/Certifications

  • Microsoft Fabric
  • Microsoft Azure Cosmos DB, Data Flows, Express Route, Azure Active Directory
  • Experience creating strategies to migrate customers from on-premise environments to Azure
  • Power BI and semantic modeling
  • AWS Glue & Azure Data Factory
  • AWS S3 & Azure Blob
  • AWS Athena & Azure Databricks
  • AWS Redshift & Azure Synapse
  • AWS ECS & Azure AKS

Don't miss this opportunity to take the next step in your cloud engineering career we'd love to hear from you!




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Data Analytics Manager (with Data Engineering)

Hrtx

Posted 19 days ago

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Were looking for a Data Analytics expert with 7+ years' experience who can drive reporting, insights, and light data engineering work to support internal teams. Youll lead dashboard and report development using Power BI, while also helping shape the backendthink building pipelines, ensuring data integrity, and connecting sources to insights.

What Youll Do:
Build and maintain Power BI dashboards for internal teams
Automate and optimize reports using SQL , Excel , and ETL tools
Collaborate with stakeholders to turn business questions into data solutions
Assist in maintaining and improving data pipelines and warehouse connections
Lead initiatives that drive data accuracy , accessibility , and impact

What Were Looking For:
7+ years in data analytics , with exposure to data engineering workflows
Expert in Power BI (DAX, Power Query), SQL, and Excel
Familiarity with ETL processes and integrating data from multiple sources
Strong communicator and stakeholder partner
A leader by actiondrives solutions, takes ownership, and delivers value

Apply now!


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Data Engineer

Advanced Energy

Posted 3 days ago

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Data Engineer
**Position Title - Data Engineer**
**About Advanced Energy**
Advanced Energy Industries, Inc. (NASDAQ: AEIS), enables design breakthroughs and drives growth for leading semiconductor and industrial customers. Our precision power and control technologies, along with our applications know-how, inspire close partnerships and innovation in thin-film and industrial manufacturing. We are proud of our rich heritage, award-winning technologies, and we value the talents and contributions of all Advanced Energy's employees worldwide.
**Responsibilities:**
+ Work with business to understand their current state architecture and contributing data sources, technologies, interfaces, performance issues and system configurations.
+ Work closely with the team across the overall data warehousing program including data acquisition, data curation and data syndication.
+ Apply knowledge of the Microsoft platform tooling involved in successful Azure implementations.
+ Serve as the subject matter expert with respect to Azure, cloud applications and system administration best practices.
+ Experience designing data lakes, database schemas and data models for large scale data platform implementation on Azure.
+ Develop system integrations using, Azure Logic Apps, Integration services, Power Automate, PowerApps, etc.
+ Perform project management activities including project documentation, business requirements and project tracking.
+ Ensuring data quality and consistency through data cleaning, transformation, and integration processes.
+ Monitoring and troubleshooting data-related issues within the Azure environment to maintain high availability and performance.
+ Collaborating with data scientists, business analysts, and other stakeholders to understand data requirements and implement appropriate data solutions.
+ Implementing data security measures, including encryption, access controls, and auditing, to protect sensitive information.
+ Automating data pipelines and workflows to streamline data ingestion, processing, and distribution tasks.
+ Utilizing Azure's analytics services, such as Azure Synapse Analytics, to provide insights and support data-driven decision-making.
+ Keeping abreast of the latest Azure features and technologies to enhance data engineering processes and capabilities.
+ Documenting data procedures, systems, and architectures to maintain clarity and ensure compliance with regulatory standards.
+ Providing guidance and support for data governance, including metadata management, data lineage, and data cataloguing.
+ Tech Stack:
+ Python
+ SQL and NoSQL databases
+ Scala
+ Spark-SQL
+ Experience with Azure: ADLS, Databricks, Stream Analytics, SQL DW, COSMOS DB, Analysis Services, Azure Functions, Serverless Architecture, ARM Templates
**Qualifications:**
+ Bachelor's degree in Computer Science, Engineering, or a related field
+ Minimum of 5+ years of data and analytics field experience in the industries like manufacturing, engineering, supply chain with large-scale implementation experience.
+ 3-5 years in Data pipeline engineering role in Data and Analytics scope.
+ Working knowledge of Azure Analytics features such as Stream Analytics, Machine Learning and Application Insights.
+ Modelling and ETL knowledge with Erwin, Azure Databricks, Data Factory, SSIS and Azure Synapse.
+ Develop and maintain system integrations using, Azure Logic Apps, Integration Services, Power Automate, PowerApps, etc.
+ Microsoft Azure data platform experience with Power BI, Azure Data Lake, data warehouse and Data Factory.
+ Knowledge on migrating on-premises applications to Azure PaaS and Azure LaaS.
+ Attention to detail and ability to coordinate multiple tasks, set priorities and meet deadlines
+ Should be well versed with Data Structures & algorithms
+ Excellent analytical and problem-solving skills.
+ Ability to work independently as a self-starter, and within a team environment.
+ Good Communication skills- Written and Verbal
As part of our total rewards philosophy, we believe in offering and maintaining competitive compensation and benefits programs for our employees in order to attract and retain a talented, highly engaged workforce. Our compensation programs are focused on equitable, fair pay practices including market-based base pay, an annual pay-for-performance incentive plan, we offer a strong benefits package in each of the countries in which we operate.
**Advanced Energy is committed to diversity in its workforce including Equal Employment Opportunity for Minorities, Females, Protected Veterans, and Individuals with Disabilities.**
**We are committed to protecting and respecting your privacy. We take your privacy seriously and will only use your personal information to administer your application in accordance with the RA No. 10173 also known as the Data Privacy Act of 2012.**
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Data Engineer

Advanced Energy

Posted 23 days ago

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Job Description

Data Engineer
**Position Title - Data Engineer**
**About Advanced Energy**
Advanced Energy Industries, Inc. (NASDAQ: AEIS), enables design breakthroughs and drives growth for leading semiconductor and industrial customers. Our precision power and control technologies, along with our applications know-how, inspire close partnerships and innovation in thin-film and industrial manufacturing. We are proud of our rich heritage, award-winning technologies, and we value the talents and contributions of all Advanced Energy's employees worldwide.
**Position Summary**
We are seeking a talented data engineer with expertise in Power BI, Azure Data Factory, Databricks, Python, data warehousing, data lakes, and DevOps. The ideal candidate will have experience in AI and machine learning, with a passion for designing and implementing innovative solutions that drive business outcomes
**Responsibilities:**
+ Design, develop, and implement data engineering solutions using Power BI, Azure Data Factory, Databricks, Python, data warehousing, and data lakes.
+ Work collaboratively with data analysts, data scientists, and business stakeholders to understand requirements, identify opportunities for automation and optimization, and deliver innovative solutions.
+ Build and maintain efficient data pipelines, ensuring data quality and accuracy, and implement appropriate data governance and security controls.
+ Automate and streamline processes to enable faster and more efficient delivery of data-driven insights.
+ Develop and maintain DevOps processes for data engineering, including continuous integration and continuous delivery.
+ Stay up-to-date with emerging technologies and industry trends, identifying opportunities to incorporate new tools and techniques into our data engineering processes.
**Qualifications:**
+ Bachelor's degree in Computer Science, Engineering, or a related field.
+ At least 3 years of experience in data engineering, with a focus on Power BI, Azure Data Factory, Databricks, Python, data warehousing, and data lakes.
+ Strong experience in DevOps processes, including continuous integration and continuous delivery.
+ Experience in AI and machine learning, with a proven track record of implementing data-driven solutions in a business context.
+ Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and business stakeholders.
+ Familiarity with Agile development methodologies and project management tools.
+ With passion for learning and staying up-to-date with emerging technologies and industry trends.
As part of our total rewards philosophy, we believe in offering and maintaining competitive compensation and benefits programs for our employees in order to attract and retain a talented, highly engaged workforce. Our compensation programs are focused on equitable, fair pay practices including market-based base pay, an annual pay-for-performance incentive plan, we offer a strong benefits package in each of the countries in which we operate.
**Advanced Energy is committed to diversity in its workforce including Equal Employment Opportunity for Minorities, Females, Protected Veterans, and Individuals with Disabilities.**
**We are committed to protecting and respecting your privacy. We take your privacy seriously and will only use your personal information to administer your application in accordance with the RA No. 10173 also known as the Data Privacy Act of 2012.**
This advertiser has chosen not to accept applicants from your region.
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Data Engineer - Data Platforms

IBM

Posted 2 days ago

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**Introduction**
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
**Your role and responsibilities**
A Data Engineer with expertise in Data Platforms specializes in developing applications on Big Data technologies, such as API development. This role requires a strong foundation in traditional Application Development, along with knowledge of Analytics libraries, open-source Natural Language Processing, and statistical and big data computing libraries. The ideal candidate will possess exceptional technical abilities to understand, design, write, and debug complex code.
**Required technical and professional expertise**
Gathers and collects the data, stores it, does batch processing or real-time processing on it, and serves it via an API to a data scientist who can easily query it. Data engineers may work closely with data architects (to determine what data management systems are appropriate) and data scientists (to determine which data are needed for analysis). They often wrestle with problems associated with database integration and messy, unstructured data sets
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
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Data Engineer - Data Platforms

IBM

Posted 3 days ago

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Job Description

**Introduction**
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
**Your role and responsibilities**
A Data Engineer with expertise in Data Platforms specializes in developing applications on Big Data technologies, such as API development. This role requires a strong foundation in traditional Application Development, along with knowledge of Analytics libraries, open-source Natural Language Processing, and statistical and big data computing libraries. The ideal candidate will possess exceptional technical abilities to understand, design, write, and debug complex code.
**Required technical and professional expertise**
Gathers and collects the data, stores it, does batch processing or real-time processing on it, and serves it via an API to a data scientist who can easily query it. Data engineers may work closely with data architects (to determine what data management systems are appropriate) and data scientists (to determine which data are needed for analysis). They often wrestle with problems associated with database integration and messy, unstructured data sets
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
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