We are looking for a skilled Data Analyst to support the transition to new data movement and transformation patterns within a modern data platform. The role focuses on ensuring data quality, usability, and consistency as legacy pipelines are migrated to new low-latency and batch architectures.Responsibilities: Analyze and validate datasets migrated to new data movement and transformation patterns Ensure data quality, consistency, and compliance with new data product standards Collaborate with data engineers to support migrations from legacy pipelines Perform data analysis using Azure Databricks and PySpark to support business and technical stakeholders Support documentation and adoption of new data products Min requirements: Experience in data analysis within modern data platforms, including Azure Databricks and cloud-based environments (AWS, Azure) Strong SQL and analytical skills, with hands-on experience in Databricks, PySpark, and Delta Lake for data exploration and validation Understanding of Medallion Architecture, data product standards, and data quality principles across analytical datasets Familiarity with data movement and transformation patterns, including low-latency event streaming (Redpanda) and batch processing (Benthos) Experience working with Delta Live Tables (DLT) and Autoloader to support scalable data ingestion pipelines Ability to work cross-functionally with data engineers and stakeholders, and communicate insights clearly Strong attention to detail, organisational skills, and ability to manage multiple analytical tasks effectively 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.