Data Engineer Expert

7 days ago


Detroit, Michigan, United States Apollo ITS Full time
Job Title: Data Engineer Expert

At Apollo ITS, we are seeking an experienced Data Engineer Expert to join our team in Metro Detroit, MI. This is a hybrid position, requiring 3 days of in-office work in Ann Arbor.

The ideal candidate will have strong expertise in ETL (Talend) and SQL, with a focus on development of large volume information ingestion and transformation processes. This position will be responsible for orchestrating data interfaces into (and out of) our Enterprise Data Warehouse using Talend, SQL, Python, and other data engineering solutions.

The estimated salary for this role is $120,000 - $150,000 per year, depending on experience. The company offers a comprehensive benefits package, including medical, dental, and vision insurance, as well as a 401(k) retirement plan.

This position requires a strong understanding of key technologies such as SQL, ETL, data modeling, and data processing concepts. A good understanding of relational database concepts and data processing concepts is also necessary. Experience with data lakehouses (Databricks) and cloud technologies (Azure) is a plus. Strong communication skills (oral and written) and good analytical and problem-solving skills are essential for success in this role.

We offer a dynamic and collaborative work environment, with opportunities for professional growth and development. If you are a motivated and detail-oriented individual with a passion for data engineering, we encourage you to apply for this exciting opportunity.

">Responsibilities:
  • Design and develop ETL (Talend) / SQL / Python based processes to perform complex data transformation processes.
  • Design, code, and test major data processing features, as well as work jointly with other team members to provide complex software enhancements for the enterprise data storage platforms (RDBMS, Lakehouse, No-SQL platforms).
  • Build Data Integration solutions to handle batch / streaming / IoT data on ETL, Big-Data platforms.
  • Develop and Deliver changes in the Enterprise Data Warehouse according to Data Warehousing best practices.
  • Gather requirements and construct documentation to aid in maintenance and code reuse in accordance with team processes and standards.
">
Must-Haves:
  • ETL (Talend)
  • SQL
  • Cloud (azure) and Kafka are helpful


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