Details on Tech Stack
- SQL (Primary tool for data manipulation and analysis)
- Python for data processing and automation
- BigQuery, Cloud SQL
- Google Cloud Platform (DataFlow, DataProc, Data Fusion)
- Data warehousing solutions
- ETL/ELT tools and frameworks
Responsibilities
Minimum Requirements for the Candidate
- 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)
Requirements
- 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)
Nice to have
- Knowledge of data governance and security practices
- Experience with real-time data processing
- Familiarity with BI tools and reporting platforms
- Strong background in performance optimization and tuning
- Advanced debugging and troubleshooting skills
We offer
- Opportunity to work on bleeding-edge projects
- Work with a highly motivated and dedicated team
- Competitive salary
- Flexible schedule
- Benefits package - medical insurance, sports
- Corporate social events
- Professional development opportunities
- Well-equipped office
About Us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.
