Remote Senior Data Engineer (AS)

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Description:

  • Blue Coding is seeking a Senior Data Engineer to join a global leader in government technology.
  • The role involves leveraging various data sources to assist stakeholders in creating products and answering business questions.
  • Daily responsibilities include working with business stakeholders to understand their goals, building standardized data solutions, incorporating observability and testing best practices, and developing processes for trusted and well-documented data.
  • The engineer will collaborate with data analysts to refine data models for reporting and analytical purposes, improve data availability and consistency, and establish a reporting system in BigQuery from scratch.
  • Additional tasks include revamping orchestration and execution to reduce data delivery times and managing database archiving.

Requirements:

  • Candidates must have strong hands-on experience with Python and core Python Data Processing tools such as pandas, numpy, scipy, and scikit.
  • Experience with cloud tools and environments like Docker, Kubernetes, GCP, and/or Azure is required.
  • Proficiency in Spark/PySpark, Data Lineage, and Data Cataloging is necessary.
  • Applicants should have experience with relational and non-relational databases, as well as Data Warehouses and Lakes like Bigquery, Databricks, or Snowflake.
  • The ability to design and build scalable data pipelines is essential.
  • Strong communication skills are required to convey technical solutions to both technical and non-technical stakeholders.
  • Experience in a fast-paced, agile environment and the ability to work independently and collaboratively is important.
  • A willingness to learn new technologies and tackle challenging problems is expected.
  • Familiarity with Infrastructure as Code tools like Terraform and advanced SQL expertise, including complex queries and query optimization, is necessary.

Benefits:

  • The position offers a salary in USD.
  • It is a long-term opportunity with a flexible schedule within US time zones.
  • The role is 100% remote, allowing for work from anywhere.
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