
Data Engineer
2 weeks ago
We are seeking a hands-on Data Engineer to own the data side of customer go-lives. You will validate and sign off on data migrations, develop high-quality SQL models that power BI dashboards, and implement automated data quality checks. Your work ensures data accuracy, trust, and performance across our analytics and migration platforms.
Key Validation :
- Design and execute end-to-end migration tests : row/aggregate parity, schema diffs, referential integrity, nullability, duplicates, and sampling.
- Produce migration sign-off packs documenting functional and performance validation.
SQL Development & Optimization :
- Build and optimize analytical SQL models (CTEs, window functions, incremental loads).
- Perform query performance tuning (EXPLAIN plans, indexing, statistics) with PostgreSQL.
Data Quality Automation :
- Implement and automate data quality checks using Great Expectations, Deequ/PyDeequ, or similar frameworks.
- Integrate validation into CI/CD pipelines with visible reporting.
Modeling & Documentation :
- Maintain well-documented SQL and dbt models with tests and exposures for traceability.
- Ensure all BI-facing datasets are reliable, performant, and documented.
Orchestration & Reliability :
- Productionize pipelines and checks in Apache Airflow with clear SLAs, monitoring, and alerting.
- (If applicable) Develop incremental pipelines to Snowflake or optimize batch loads in PostgreSQL.
Minimum Qualifications :
- 4 -7+ years of experience as a Data/Analytics Engineer.
- Advanced SQL expertise with strong RDBMS fundamentals (PostgreSQL required).
- Proven track record in data migration testing (parity, integrity, performance).
- DBT
- Great Expectations / Deequ
- Airflow
- Experience with Snowflake (Streams, Tasks, warehouse cost optimization).
- Exposure to BI stacks (Looker, Power BI, Tableau, Metabase) and metrics layers.
- Python for lightweight ETL, validation, and automation scripts.
(ref:hirist.tech)-
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