Data Engineering Lead
17 hours ago
About the Role:
We are seeking a highly skilled Senior Data Engineer to join our team and lead the transition of our legacy Martech pipelines to our modern ELT architecture.
Key Responsibilities:
- Design, develop, test, deploy, and support data pipelines and models using dbt, Snowflake, Fivetran, and SNP Glue.
- Monitor and troubleshoot data pipeline performance and issues on the legacy stack and the modern stack.
- Implement data quality checks and tests using dbt and GitHub.
- Document and present on data pipeline and model logic, assumptions, and dependencies.
- Contribute to and improve data engineering best practices and standards.
Requirements:
- 5+ years of experience in data engineering.
- Self-starter, collaborator, and problem-solver capable of developing a production-ready solution independently and with limited direction.
- Proficient in Unix command line, BASH scripting, and Perl (some experience).
- Proficient in SQL, dbt Cloud, GitHub, and Snowflake.
- Experience with Fivetran, Census reverse ETL tool, and modern CI/CD & IAC tools.
- Experience with Python or similar language (Java, Scala, Javascript, C++).
Salary: $120,000 - $180,000 per year.
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