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4 days ago
We are seeking an experienced professional to join our data engineering team. The ideal candidate will be responsible for developing and maintaining ETL pipelines using cutting-edge tools.
Key responsibilities include:
- Implementing client-specific data transformations for seamless integration
- Supporting data ingestion, quality checks, and validation during the onboarding process
- Optimizing database queries, compute usage, and data storage
- Collaborating with the quality control team for ETL validation and data consistency checks
To succeed in this role, you should have:
- At least 5 years of experience in ETL development and data engineering
- Strong expertise in Snowflake, FiveTran, DBT Cloud, and HighTouch data pipeline tools
- Proficiency in SQL, Python, and AWS data services
- Experience with data quality frameworks and validation strategies
This is a challenging yet rewarding opportunity to advance your career in data engineering. If you are passionate about working with large datasets and driving business growth through data insights, we encourage you to apply.
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