Lead Big Data Engineer
We are hiring a Lead Big Data Engineer for a large-scale, multi-year data migration and normalization project for a major global client. You will play a key role in designing, implementing, and operationalizing a cloud-based data ecosystem. The project focuses on harmonizing and normalizing data across systems while ensuring data quality, governance, and scalability. This is a high-visibility initiative offering significant technical depth, enterprise impact, and long-term growth opportunities.
Essential functions
Lead the design and implementation of large-scale data pipelines using Azure services including ADF, Databricks, ADLS Gen2, Synapse, and Purview
Develop, orchestrate, and maintain workflows using Apache Airflow
Implement Infrastructure as Code (IaC) solutions using frameworks such as Terraform (for CloudOps-focused initiatives)
Collaborate with business, analytics, and engineering teams to ensure data normalization, governance, and quality standards are met
Monitor, troubleshoot, and optimize pipelines and cloud infrastructure for performance and reliability
Contribute to defining architecture, KPIs, governance frameworks, and best practices for the data platform
Document designs, processes, and operational procedures to support knowledge sharing and long-term maintainability
Qualifications
Strong experience with Azure cloud services: ADF, Databricks, ADLS Gen2, Synapse, Purview (AKS for CloudOps-focused work)
Proficiency in Python and SQL for data engineering and automation tasks
Hands-on experience with Apache Airflow or similar orchestration tools
Familiarity with Infrastructure as Code tools like Terraform (for CloudOps initiatives)
Solid understanding of data modeling, normalization, and governance principles
Proven ability to design and operate scalable, enterprise-grade data pipelines
Experience leading technical initiatives or teams on large-scale cloud projects
Would be a plus
Exposure to Azure Fabric or other cloud frameworks
Knowledge of cloud security, access management, and operational best practices
Previous experience in multi-year, greenfield Big Data projects
Experience in DataOps practices and tooling
Familiarity with enterprise BI platforms or reporting layers
We offer
Work on bleeding-edge projects on a team of experienced engineers
Flexible working hours
Specialization courses
24 days annual leave + an additional of 5 sick days
Floating Holidays
Private medical subscription for employees and their family members
Benefits basket with the total value of 650 euro/year
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.
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