
Data Solutions Engineer
2 days ago
We are seeking a seasoned Data Solutions Engineer to drive our data pipeline initiatives forward. This role is perfect for someone who thrives on execution, building robust data solutions, and delivering high-quality results that directly impact the business.
You will work closely with cloud-based services, implement scalable data solutions, own end-to-end data workflows, and continuously monitor and improve pipeline reliability, speed, and data quality. Additionally, you will leverage GenAi and automation tools to streamline development and reduce manual effort, ensuring data availability and trustworthiness for analytics and downstream systems.
Key Responsibilities:
- Develop and maintain large-scale data pipelines using GCP and/or AWS services
- Design and implement data warehouses and lakes, ensuring efficient data storage and retrieval
- Collaborate with cross-functional teams to define data requirements and develop effective data strategies
- Continuously monitor and improve data quality, accuracy, and timeliness
- Leverage automation tools to optimize data processing and reduce manual effort
Requirements:
- Strong proficiency in Python and PySpark
- Hands-on experience with cloud platforms like GCP and/or AWS
- Solid understanding of ETL/ELT, data warehouse, and data lake concepts
Why Join Us?
This is a high-impact role where execution speed is valued and recognized. You will have the freedom to build, ship, and iterate without red tape, work with a lean, high-performing data team, and opportunities to innovate with Generative Ai tools.
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