Engage with the client to understand ever changing directions and priorities
Work with cross-functional stakeholders to understand the business process and build and review conceptual and logical models.
Leads technical teams and has a leadership responsibility for data architecture and data technical design
Special attention to testing frameworks and testability
Demonstrable experience in developing, publishing, and maintaining all documentation for data models that demonstrates data lineage
Lead teams from small to large scale and delivered low to high complexity solutions
Requirements:
3 years of prior experience in data engineering or application integration engineering including hands on experience with Python/Java/Shell/SQL
Proven demonstrable experience designing and implementing ETL pipelines
AWS Native (e.g. S3, Redshift, Athena), Teradata, MySQL, SQL Server, NoSQL technologies is a plus
Good working knowledge of RDBMS databases (PostgreSQL, Oracle, MySQL)
Good knowledge of testing tools (JMeter / JUnit / Python unittest)
Working knowledge of Apache Spark and/or other distributed computing frameworks (MapRed)
Excellent leadership, communication (written and oral), and interpersonal skills
Experience leading a team of engineers
Interested candidates who wish to apply for the advertised position to send in your resume.
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