Here's how you'll contribute:
You will contribute to the role by:
• Creating Impact faster: Delivering more Impact In less time by quickly deploying solutions or augmenting existing ones to enable teams to accelerate business results and Increase time to value
• Breaking through barriers: Helping create better customer experience by taking the data first approach and deliver Insights
• Adapting to anything: Agility to reacting and responding to new business priorities and market conditions and customer opportunities with rapidly deployable solutions
• Innovating anywhere: Solving problems with powerful solutions enabling Inter operable solutions across multiple lines of business
Responsibilities
Skills required to contribute:
6-9 Years of Data Engineering experience on Google Cloud Platform (GCP), including hands-on delivery in BigQuery-based data platforms and working exposure to Agentic AI development.
• Hands-on expertise in Google BigQuery, including writing and optimizing complex SQL queries for large-scale,
structured and semi-structured data warehousing and analytics.
• Solid SQL skills and solid data engineering fundamentals, including data modelling, ETL/ELT design, and data quality and validation practices.
• Ability to understand, trace and debug end-to-end data pipeline flows, quickly identifying and resolving data quality, processing and orchestration issues.
• Awareness of performance optimization techniques for BigQuery and GCP data pipelines, including query tuning, partitioning, clustering, slot management and cost optimization.
• Familiarity with change management processes and best practices for controlled, governed releases into production data environments.
• Experience with CI/CD and DevOps practices for data engineering, including version control (Git), automated testing and deployment pipelines on GCP.
• Working knowledge of BI dashboarding tools (e.g., Looker, Power BI, Tableau, Google Looker Studio) and basic AI/ML concepts to s
📌 FULL STACK GCP DATA ENGINEER (India)
🏢 Zensar
📍 India