Senior data analyst

We are seeking a Senior Data Engineer to join a high-impact engineering initiative supporting advanced data movement and transformation patterns for a world-leading American quick-service restaurant enterprise. In this role, you will play a pivotal part within a dedicated Grid Dynamics squad, helping expand digital capabilities and driving innovative data solutions—including low-latency architectures—to streamline global operations and deliver business insights. As a Senior Data Engineer on the team, you will combine strong data modeling expertise with hands-on analytical skills: executing data profiling, managing end-to-end technical requirements, and establishing resilient Medallion Architecture frameworks.

Responsibilities:
• Perform comprehensive data profiling and exploration across structured and unstructured data sources to uncover operational insights.
• Conduct ad-hoc, root-cause, and what-if analytical investigations to troubleshoot data flow anomalies and support strategic business queries.
• Design and implement scalable Data Models that support new data movement, transformation patterns, and low-latency processing requirements.
• Gather, refine, and manage technical and business requirements in direct collaboration with cross-functional stakeholders.
• Maintain comprehensive technical documentation, data dictionaries, and architectural diagrams to support the long-term scalability of the data platform.
• Collaborate actively as a proactive team player, driving quality deliverables with a positive, solution-oriented mindset.

Min requirements:
• 5+ years of commercial data engineering experience with strong expertise in data modeling, data profiling, and pipeline design.
• Hands-on experience designing and building data architectures using the Medallion Architecture pattern (Bronze, Silver, Gold layers).
• Proven track record working with high-volume, low-latency data movement and transformation patterns.
• Strong expertise in conducting root-cause analysis and ad-hoc data investigations across complex, large-scale data environments.
• Solid experience in gathering business/technical requirements and translating them into robust engineering solutions and technical documentation.
• Exceptional technical communication skills in English, with a proactive, collaborative team mindset.

Would be a plus:
• Direct hands-on experience with the Databricks unified analytics platform (Delta Lake, PySpark/Spark SQL).
• Experience in the QSR (Quick Service Restaurant), retail, e-commerce, or high-throughput consumer-facing sectors.
• Familiarity with real-time streaming technologies and low-latency message streaming frameworks.
• Conceptual or practical exposure to modern AI-assisted development tools (e.g., GitHub Copilot, Cursor).

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.