Senior Data Engineer

6 months ago


Columbus, United States g2o Full time

Your future starts here

Imagine being part of a team that helps clients build better relationships with customers. When you join us, you'll help top-notch clients to execute the digital strategies of the future. Every day, we collaborate with clients and each other to provide technology expertise, human-centered design and industry experience to deliver real business results.

Position description

Work collaboratively with technical team members to develop, deploy and production support data engineering jobs and pipelines - spark structured stream processing jobs across one or more streams, persisted to a data lake. Work with leads and architects to prototype designs and technologies. Design and develop data engineering jobs with an eye on quality attributes (and trade-offs) such as simplicity, reliability, scalability, extensibility, performance. Build or reuse common frameworks where possible. Set and adhere to coding and style guides to ensure consistency. Ensure code quality through mechanisms including code coverage, peer reviews, pair programming. Create and deploy streaming data quality checks with remediation runbooks. Adhere to data governance and compliance requirements and standards. Provide recommendations for and help curate technical backlogs for technical debt management and continuous improvement.

Required qualifications

5+ years of total experience working with data and data pipeline technologies at scale. 3+ years of solid Python development experience – including: Robust unit and integration testing and Git driven CI/CD to production 2+ years of proven experience developing streaming data processing tasks using pySpark and SparkSQL Solid understanding of Spark, preferably Databricks Spark and Apache Delta Read streaming data from Kafka, Apache Delta or similar, merge /enrich /qualify data inline, capture operations metrics, persist to target, debug and optimize At scale and in production Experience leveraging public cloud data and analytics services. Azure preferred, but AWS/GCP also works. Nice to have: Super user experience with reporting tools such a PowerBI.

Required education and experience

College/University Degree or equivalent.

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