GCP Data Engineer
Synechron — Gurugram
Job Summary Synechron is seeking an experienced Data Engineer supporting cloud-based big data solutions to design, build, and maintain scalable data pipelines and analytics infrastructure. This role focuses on leveraging Google Cloud Platform (GCP), Spark, Hive, and Python to deliver reliable, high-performance data workflows that support enterprise analytics, data migration, and operational excellence. The candidate will collaborate with cross-functional stakeholders to optimize data processing, ensure data quality, and support enterprise data strategies aligned with business objectives. Software Requirements Required Software Proficiency: GCP services: BigQuery, Cloud Storage, Dataflow, or equivalent (latest version) — extensive experience supporting scalable data processing in cloud environments (supporting 6–8 years) Apache Spark — strong hands-on experience supporting large-scale data processing and big data workflows (supporting 6+ years) Hive — experience designing and managing data schemas and querying large datasets supporting data warehousing needs (supporting 5+ years) Python — proficiency supporting data pipeline automation, scripting, and transformation (supporting 4+ years) SQL (supporting databases like SQL Server, Oracle, PostgreSQL) — supporting data validation, migration, and operational reporting Preferred Software Skills: Cloud automation tools: Terraform, Dataflow, or Cloud Datafusion supporting environment automation (preferred) Data orchestration tools: Apache Airflow or similar supporting pipeline scheduling and management (preferred) Data visualization tools: Power BI, Tableau supporting reporting and dashboarding (preferred) Overall Responsibilities Design, develop, and optimize scalable data pipelines supporting enterprise analytics, data migration, and operational reporting within cloud environments Build and maintain large-scale data ecosystems supporting real-time and batch data processing supporting business insights Collabo
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