Job Description

This role involves developing robust data pipelines, implementing scalable data architectures, and establishing data governance frameworks to support data-driven decision making across the organization.

Responsibilities

Design and implement efficient, scalable data pipelines Optimize data storage and retrieval processes Ensure data quality and consistency across systems Collaborate with cross-functional teams to understand data requirements Implement data security and compliance measures

Requirements

8-10 years of experience in data engineering or related field Expert knowledge of SQL Mid-level knowledge of Python (expert preferred) Experience with cloud platforms, particularly Google Cloud Strong understanding of data modeling and warehouse concepts Experience with ETL pipeline design and implementation Experience with big data technologies (Hadoop, Spark)

Nice to have

Knowledge of data governance and security practices Experience with real-time data processing Familiarity with BI tools and reporting platforms Strong background in performance optimization and tuning Advanced debugging and troubleshooting skills

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.