Senior Data Engineer

Join an internal initiative at a leading global technology company recognized for its cutting-edge consumer products and role in shaping trends across the tech industry.

The goal of the project is to design and develop a modern data warehouse (DWH) to centralize program and project management data, along with a suite of robust ETL pipelines, analytical tools, and data-driven web applications.

This platform integrates data from multiple internal systems (e.g., Jira, Project tracking tools), processes it into a highly performant analytical layer, and powers dashboards and applications used by over 200 stakeholders to drive decision-making across multiple departments.

Responsibilities

• Design and maintain scalable data warehouse architecture optimized for project and portfolio management use cases.
• Build, test, and maintain high-performance ETL pipelines for hourly data ingestion and transformation from diverse data sources.
• Develop internal analytics tools and web applications to support reporting, automation, and project optimization.
• Collaborate with stakeholders to gather requirements, participate in sprint planning, and document technical designs.
• Proactively monitor job execution, system performance, and data quality metrics using Splunk, Hubble, and internal alerting systems.
• Ensure data privacy and compliance with internal security policies and practices.
• Investigate and resolve performance bottlenecks and data issues in production.
• Maintain technical documentation and contribute to architectural decisions and best practices.

Requirements

• 5+ years of experience as a Data Engineer, Big Data Engineer, or similar role.
• Strong hands-on experience with Python, Pandas and SQL in production environments.
• Solid understanding of DWH principles and data modeling techniques.
• Experience working with large-scale data pipelines.
• Familiarity with job monitoring and logging platforms (e.g., Splunk, CloudWatch, or similar).
• Proficient in debugging, optimizing, and profiling data jobs in distributed systems.
• Experience in Agile teams with cross-functional collaboration.
• Excellent communication and documentation skills in English.
• Self-driven and proactive mindset, able to operate independently in a fast-paced environment.

Nice to have

• Experience with Airflow or similar workflow orchestration tools.
• Exposure to back end work for internal data apps / integration AI to the data platform.
• Familiarity with DevOps practices (Docker, Jenkins).
• Background in analytics or experience building reporting layers.

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.