
High-Impact Data Engineer
6 days ago
We are seeking a skilled Data Engineer to join our team. The ideal candidate will have experience in building, deploying, and managing data pipelines using Python and PySpark.
The successful candidate will develop and optimize ETL/ELT processes to support data integration across systems, work directly with GCP and AWS services to implement scalable cloud-based data solutions, own data workflows end-to-end — from ingestion to transformation to storage, continuously monitor and improve pipeline reliability, speed, and data quality, use GenAI and automation tools to speed up development and reduce manual effort, proactively debug, troubleshoot, and resolve data engineering issues, ensure data is available and trustworthy for analytics and downstream systems, deliver high-quality code and documentation with a bias for action.
- Strong proficiency in Python and PySpark.
- Working experience with cloud platforms like GCP and/or AWS.
- Solid understanding of ETL/ELT, data warehouse and data lake concepts.
- Proficient in working with relational databases—preferably PostgreSQL and MySQL—as well as non-relational databases, with a focus on MongoDB.
The successful candidate will be a driven individual who thrives on execution, takes ownership of projects, and has a strong bias for action. They will be self-motivated and comfortable working independently, with minimal need for hand-holding.
Benefits:
- A high-impact role where execution speed is valued and recognized.
- Freedom to build, ship, and iterate without red tape.
- Opportunities to innovate with Generative AI tools.
- A fast learning environment and ownership from day one.
Why This Role? This role is perfect for someone who enjoys delivering results rather than deliberating over process. If you're a detail-oriented individual who can take initiative and drive projects forward, we encourage you to apply.
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Only 24h Left Data Engineer
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