Senior Engineer, Data Engineering

Overview

Senior Data Engineer role in Bengaluru, focused on designing and leading high-performance automated data environments in the GCP ecosystem.

What you'll do

• Lead architecture and optimization of scalable ETL/ELT pipelines in GCP.
• Optimize BigQuery performance and costs using partitioning, clustering, and related features.
• Implement and manage BigLake for unified lakehouse governance and security.
• Drive automation from data ingestion to infrastructure deployment using IaC and CI/CD tooling.
• Define self-healing pipelines with logging, alerting, and data quality checks.
• Collaborate with stakeholders to translate requirements into data architectures and solutions.
• Mentor mid-level engineers and champion coding and architectural best practices.

What you'll need

• 4–6+ years of hands-on data engineering experience (Senior level).
• Deep knowledge of GCP services including BigQuery, Cloud Composer, and Dataproc.
• Proficiency in Dataform for version-controlled SQL workflows and modeling in BigQuery.
• Strong Python and SQL skills for modular, testable, maintainable code.
• Solid understanding of data modeling (Star Schema, Snowflake) and data operations.
• Expert experience with CI/CD tools and Infrastructure-as-Code.
• GCP ecosystem expertise with services including Cloud Storage and Cloud Functions.

Details

• Location: Bengaluru, India.