Lead gcp data engineer

46 minutes ago

Gurgaon, India Impetus Full time

Job Title: Lead Data Engineer – GCP (Big Query • Composer • Python • Py Spark)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 Big Query, Py Spark/Spark, Python.- Use Cloud Composer (Airflow) to orchestrate workflows, manage DAGs, scheduling, dependencies and monitoring.- Design and optimise Big Query usage (partitioning, clustering, cost-control, performance tuning).- Develop and manage large-scale Spark/Py Spark 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 Big Query (data warehousing, optimisation), Cloud Composer (Airflow) for orchestration.- Strong experience with Py Spark/Spark for large-scale data processing.- Excellent proficiency in Python (scripting, automation, building frameworks).- Strong SQL skills (in Big Query 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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