Senior Data Engineer

Essential functions

• Lead the design, development, and maintenance of scalable data pipelines for data ingestion, transformation, and storage within an Azure/Snowflake-based analytics platform.
• Act as the onsite senior engineer  for a distributed engineering team based in Eastern Europe, providing technical guidance, mentorship, and support.
• Collaborate directly with client stakeholders and senior leadership, ensuring alignment between business objectives and data engineering deliverables.
• Drive data modeling, master data management, and metadata management best practices to enhance data consistency and governance.
• Develop batch and real-time data processing solutions using Spark, Python, and SQL.
• Design and optimize data warehouse solutions, including schema design and performance tuning in Snowflake and Azure DW.
• Ensure Agile delivery excellence, participating in sprint planning, backlog grooming, and retrospectives.
• Build strong cross-functional relationships across teams, ensuring clear communication, effective collaboration, and issue resolution.
• Continuously identify opportunities for process improvement, automation, and performance optimization.
• Stay current on emerging technologies and data engineering trends, fostering innovation within the team.

Qualifications

• Good interpersonal skills; comfort and competence in dealing with different teams within the organization.

• Requires an ability to interface with multiple constituent groups and build sustainable relationships.

• Strong and effective communication skills (verbal and written).

• Strong analytical, problem-solving skills.

• Experience of working in a matrix organization.

• Proactive problem solver.

• Ability to prioritize and deliver.

• Results-oriented, flexible, adaptable.

• Work well independently and lead a team.

• Versatile, creative temperament, ability to think out-of-the box while defining sound and practical solutions.

• Ability to master new skills.

• Familiar with Agile practices and methodologies

• Professional data engineering experience focused on batch and real-time data pipelines using Spark, Python, SQL

• Data warehouse (data modeling, programming)

• Experience working with Snowflake

• Experience working on a cloud environment, preferably, Microsoft Azure Cloud Data Warehouse solutions (Snowflake, Azure DW)

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field

We offer

• Opportunity to work on cutting-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, vision, dental, etc.
• 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.