Belcan - Seattle, WA

posted about 2 months ago

Full-time - Mid Level
Seattle, WA
Professional, Scientific, and Technical Services

About the position

Belcan is seeking a Data Engineer V to join our team in Seattle, WA. In this role, you will be immersed in one of the world's largest and most complex data warehouse environments. Your primary responsibility will be to develop and support analytic technologies that provide our customers with timely, flexible, and structured access to their data. This position requires a strong understanding of data engineering principles and the ability to work collaboratively with business customers to understand their requirements and implement effective solutions for their analytical and reporting needs. As a Data Engineer, you will be tasked with designing and implementing a robust platform utilizing both third-party and in-house reporting tools. This includes modeling metadata, building reports, and creating dashboards using Oracle BI Enterprise Edition (OBIEE). Your role will also involve developing complex ETL pipelines using Python and SQL, ensuring that data is processed efficiently and accurately. You will be expected to leverage your strong analytical skills to work with large and complex data sets, helping business owners observe patterns and identify anomalies in their data. This position is a contract role for a duration of 4 months, and it offers an exciting opportunity to work in a dynamic environment where you can make a significant impact on data accessibility and usability for our clients.

Responsibilities

  • Develop and support analytic technologies for customer data access.
  • Design and implement a platform using third-party and in-house reporting tools.
  • Model metadata and build reports and dashboards in Oracle BI Enterprise Edition (OBIEE).
  • Collaborate with business customers to understand their requirements and implement solutions for analytical and reporting needs.
  • Develop complex ETL pipelines using Python and SQL.

Requirements

  • 7+ years of related experience in data engineering.
  • Strong development experience with Airflow.
  • Experience with AWS Services such as Glue, S3, and Lakeformation.
  • Experience with PostgreSQL database platforms like Redshift.
  • Proficient in developing complex ETL pipelines using Python and SQL.
  • Strong analytical skills and ability to work with large complex data sets.
  • Strong knowledge of SQL and Python.

Nice-to-haves

  • Strong Python skills
  • Strong SQL skills
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