Job TitleJob DescriptionKey ResponsibilitiesDesign and build scalable ETL/data pipelines using Spark and PythonDevelop data workflows to ingest, transform, and move large datasetsImplement data routing logic to direct data to:GCP (BigQuery, Dataflow, Dataproc)On-prem platforms (DPC)Ensure data quality, validation, and reconciliation across systemsCollaborate with data science and platform teams to support predictive model pipelinesOptimize performance and scalability for high-volume data processingRequired SkillsStrong hands-on experience with Apache Spark / PySpark for large-scale data processingProficiency in Python for data engineering (ETL pipelines)Experience designing and developing data pipelines / data engineering workflowsSolid background in ETL, data ingestion, transformation, and data movementExperience working with big data technologies and handling large datasets (batch/streaming)Experience with cloud platforms – GCP (Google Cloud Platform):BigQuery, Dataflow, Dataproc, GCS (Google Cloud Storage)Experience with data migration / data integration projectsUnderstanding of data pipeline architecture and distributed systems