Lead GCP Data Engineer

9 hours ago

Faridabad, India Impetus Full time

Job Title: Lead Data Engineer – GCP (BigQuery • Composer • Python • PySpark)Location: GurgaonExperience: 8+ years (data engineering / analytics engineering), with previous lead responsibilitiesAbout 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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