Senior Data Engineer
We are looking for a Senior Data Engineer with strong experience in the AtScale tool to join our team and help design, build, and optimize scalable data solutions. In this role, you will work on complex analytical systems, focusing on data modeling, semantic layers, and high-performance data pipelines. You’ll collaborate closely with analytics, BI, and engineering teams to ensure reliable and efficient data delivery for business insights.
Essential functions
Design and optimize data models (Star/Snowflake schemas, fact & dimension tables, KPIs)
Develop and maintain ETL/ELT pipelines using tools like dbt, Airflow, or similar
Build and manage semantic layers / cube models, ensuring consistency of business metrics
Integrate data models with BI tools such as Tableau or Power BI
Optimize SQL queries for large-scale analytical workloads
Implement performance optimization strategies (aggregations, caching, indexing)
Work with cloud data warehouses like Snowflake or Amazon Redshift
Handle large-scale data processing using frameworks like Apache Spark
Ensure reliable deployment using version control and CI/CD practices
Collaborate with cross-functional teams to support data-driven decision-making
Qualifications
5+ years of experience with strong expertise in SQL (complex joins, window functions, aggregations, performance tuning)
Solid experience in data modeling (Star/Snowflake schemas, KPIs, dimensional modeling)
Proven experience with semantic layer / cube modeling
Hands-on experience with AtScale (mandatory)
Experience with cloud data warehouses (Snowflake and/or Amazon Redshift)
Experience integrating with BI tools (Tableau and/or Power BI)
Strong understanding of performance optimization and caching strategies
Experience building ETL/ELT pipelines (dbt, Airflow, or similar)
Experience with distributed data processing (Apache Spark or similar)
Familiarity with version control and CI/CD for data workflows
Upper-intermediate level of English (B2 or higher)
Would be a plus
Experience with real-time or streaming data pipelines
Exposure to large-scale enterprise data platforms
Strong understanding of data architecture best practices
Experience working in Agile environments
Background in analytics or BI-driven organizations
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.
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Grid Dynamics is an equal opportunity employer. We are committed to creating an inclusive environment for all employees during their employment and for all candidates during the application process.
All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on, age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. All employment is decided on the basis of qualifications, merit, and business need.