Job Title

Job Title: GCP Data EngineerExperience: 5 to 9 YearsBudget: 15 to 20 LPALocation: Gurgaon (Hybrid)Relocation works as the interviews will be virtualSkills: GCP, BigQuery, Dataproc, Dataflow, Python, SQLRole OverviewWe are looking for an experienced GCP Data Engineer with strong hands-on expertise in building, managing, and optimizing large-scale data pipelines on Google Cloud Platform. The ideal candidate should have solid experience with BigQuery, Dataproc, Dataflow, and end-to-end data engineering workflows.Key Responsibilities- Design, develop, and maintain scalable data pipelines on GCP using BigQuery, Dataproc, Dataflow, Pub/Sub, and Cloud Storage. - Build and optimize data ingestion, ETL/ELT processes, and distributed data processing workflows. - Work with large datasets to ensure high performance, reliability, and data quality within data platforms. - Implement data transformation logic using Python, SQL, PySpark or similar technologies. - Optimize BigQuery queries, partitioning, clustering, and cost management. - Collaborate with analytics, BI, and application teams to deliver data solutions aligned with business needs. - Ensure security, governance, and compliance across the GCP data ecosystem.Required Skills & Experience- 5–10 years of total experience with minimum 3+ years in GCP data engineering. - Strong hands-on experience in BigQuery, Dataproc, Dataflow, Cloud Composer/Airflow. - Strong SQL and Python skills; experience in Spark or PySpark preferred. - Good understanding of data warehousing concepts, ETL/ELT architectures, and distributed data processing. - Experience with CI/CD pipelines, Git, and DevOps practices in cloud environments. - Knowledge of Pub/Sub, Cloud Storage, Cloud Functions will be an added advantage.