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Senior Data Engineer

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Heitmeyer has a banking client that has a need within their Chief Data Office for a Senior Data Engineer who can design and build data environments and develop queries for extracting and working with data across business units.  The role is open for full remote; however, targeted for AR, KS, MO, OK, FL, NC, TN, TX.  

Job Description: 
The Senior Data Engineer is responsible for supporting the development and growth of data environments.  Will design, build and operationalize modern data environments.  Must be able to collaborate with architects, developers and LOB stakeholders on all data needs.  

Top Required Skills:

  1. MUST have experience with Cloud-based data solutions – strongly prefer GCP but would accept Azure or AWS.
  2. 5+ years of experience in designing and developing data queries and leveraging DataWarehouse – BigQuery.
  3. Advanced SQL and PostgreSQL– REQUIRED.  
  4. Experience with programming languages including Python, Java and C# required.  
  5. Direct experience with ETL tools – Dataproc, DataFlow, Data Fusion or similar tools 
  6. Transformation tools such as DBT
  7. Strong background in tools and platforms like Terraform, Kafka, Big Table
  8. Pipeline orchestration tools – Apache Airflow or Cloud Composer (Airflow)
  9. Independent resource with strong analytical and problem-solving skills who is able to communicate well through strong interpersonal skills.  

Nice-to-have:

  1. Background within financial services would be strongly preferred but not required.
  2. Should have worked within highly regulated industry.

Top Responsibilities:

Heitmeyer Consulting is an equal opportunity employer, and we encourage all qualified candidates to apply. Qualified applicants will be considered without regard to minority status, gender, disability, veteran status or any other characteristic protected by law.

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