Data Transformation Engineer

hace 1 día

Guadalajara, Jalisco, México Baxter A tiempo completo
About Us

Baxter is a leading global healthcare company that has been pioneering medical innovations for over 85 years. Our mission is to improve healthcare outcomes for millions of patients worldwide.

We develop quality products with the patient in mind, and our marketing efforts are patient-centric. This means you can be proud of our work and the value we deliver to people every day.

Your Team

You will be part of a large, multinational organization with a diverse range of individuals and teams. You will have the opportunity to expand your knowledge through collaboration and exposure to different facets of our portfolio.

Our leadership team encourages ongoing development and provides a supportive environment for you to grow and succeed.

Your Role at Baxter

As a Data Transformation Engineer, you will be responsible for performing development work and technical support related to our data transformation and ETL jobs in support of a Cloud-based global data warehouse.

You will work independently and in cooperation with a variety of customers and other technical professionals to:

  • Develop new ETL/data transformation jobs using PySpark, Spark SQL, Python, and AWS services such as EMR, Glue, Lambda, and Step Functions.
  • Enhance and support existing ETL/data transformation jobs.
  • Communicate technical solutions and resolutions with internal customers and provide feedback to the ETL team.
  • Perform technical code reviews for peers moving code into production.
  • Perform and review integration testing before production migrations.
  • Provide high-level technical support and perform root cause analysis for problems experienced within the area of functional responsibility.
  • Document technical specs from business communications.
What You'll Bring

To be successful in this role, you will need:

  • 5+ years of ETL experience.
  • Experience with core Python programming for data transformation.
  • Intermediate-level PySpark skills, including the ability to read, understand, and debug existing code and write simple PySpark code from scratch.
  • Strong knowledge of SQL fundamentals, including subqueries, and the ability to tune queries with execution hints to improve performance.
  • A proven track record in troubleshooting ETL jobs and addressing production issues like performance tuning, reject handling, and ad-hoc reloads.
  • Proficient in developing optimization strategies for ETL processes.
  • Basic AWS technical support skills, including the ability to log in, find existing jobs, and check run status and logs.
  • The ability to create clear and concise documentation and communications.
  • The ability to document technical specs from business communications.
  • Effective communication skills and the ability to coordinate and aggressively follow up on incidents and problems.
  • The ability to prioritize and work on multiple tasks simultaneously.
  • A self-starter who can work well independently and on team projects.
  • Experience in analyzing business requirements, defining the granularity, source to target mapping of the data elements, and full technical specification.
  • Understanding of data dependencies and how to schedule jobs in Control-M.
  • Experience working at the command line in various flavors of UNIX, with basic understanding of shell scripting in bash and korn shell.
  • Bachelor's of Science in computer science or equivalent.

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