Essential functions
Design and implement efficient, scalable data pipelines
Optimize data storage and retrieval processes
Ensure data quality and consistency across systems
Collaborate with cross-functional teams to understand data requirements
Implement data security and compliance measures
Qualifications
8-10 years of experience in data engineering or related field
Expert knowledge of SQL
Mid-level knowledge of Python (expert preferred)
Experience with cloud platforms, particularly Google Cloud
Strong understanding of data modeling and warehouse concepts
Experience with ETL pipeline design and implementation
Experience with big data technologies (Hadoop, Spark)
Would be a plus
We offer

Keyskills: Data modeling data security Debugging data governance Data processing Data quality Medical insurance Troubleshooting SQL Python
About Us: Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, and advanced analytics services. Fusing technical vision with business acumen, we enable positive business outcomes for enterprise companies undergoing business tran...