Only 24h Left Lead GCP Data Engineer

4 weeks ago

Bengaluru, India Impetus Full time

Job Title: Lead Data Engineer – GCP (BigQuery • Composer • Python • PySpark) Location: Bengaluru Experience: 8+ years (data engineering / analytics engineering), with previous lead responsibilities About the Role: You will lead the design, build and operation of large-scale data platforms on the Google Cloud Platform. You will manage a team of data engineers, collaborate with analytics & data science stakeholders, define best-practices, and ensure robust, production-ready pipelines that support business insights and data products. Key Responsibilities: - Architect and implement end-to-end data pipelines using BigQuery, PySpark/Spark, Python. - Use Cloud Composer (Airflow) to orchestrate workflows, manage DAGs, scheduling, dependencies and monitoring. - Design and optimise BigQuery usage (partitioning, clustering, cost-control, performance tuning). - Develop and manage large-scale Spark/PySpark jobs for batch and potentially streaming data. - Ensure cloud-native architecture on GCP: storage (Cloud Storage), compute (Dataproc/Dataflow), orchestration (Composer), security/iam. - Lead and mentor a team of data engineers: code reviews, best practices, architecture decisions. Required Skills & Qualifications: - Minimum ~8 years of experience in data engineering or similar, ideally with lead responsibilities. - Hands-on experience in GCP services—especially BigQuery (data warehousing, optimisation), Cloud Composer (Airflow) for orchestration. - Strong experience with PySpark/Spark for large-scale data processing. - Excellent proficiency in Python (scripting, automation, building frameworks). - Strong SQL skills (in BigQuery or similar cloud data warehouse), including complex queries, optimisation. - Experience designing data models, data warehouses/lakes, ingestion pipelines, transformations. - Experience building/operating CI/CD pipelines, version control (Git), test/monitoring practices. - Excellent communication and leadership skills—able to mentor, lead architecture discussions and engage stakeholders. Why Join Us: - Lead a talented team and influence data engineering architecture & tooling. - Work on high-impact data platforms that enable business growth. - Use cutting-edge GCP services and modern data engineering practices.

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