We are looking for an experienced Data Engineer / ETL Developer with strong hands-on experience in Python, GCP, Big Query, ETL pipelines, Data Quality, and Azure to support an enterprise data platform project. Key Responsibilities Develop, maintain, and troubleshoot ETL/data processing pipelines Work with Python, Big Query, GCS, Dataproc and Py Spark Implement data ingestion, transformation, deduplication and enrichment Work with Data Quality (DQ/DQA) checks and validation frameworks Handle SCD Type 2 / historical data versioning Work with configuration-driven ETL frameworks and metadata-driven processing Support Azure ↔ GCP hybrid data pipelines Work with Azure Storage, Databricks and data ingestion processes Troubleshoot pipeline, processing,



networking and data-quality issues Work with Airflow DAGs for scheduling and batch processing Maintain processing status, audit logs and pipeline monitoring Support migration from artifact-specific ETL scripts toward standardized/configuration-driven pipelines Required Technical Skills Must Have: Python Big Query GCPGCSETL / Data Engineering Data Quality / Data Validation SQLAirflow Valuable to Have: Dataproc / Py Spark Azure Azure Databricks Fast APISpring Boot Docker / Kubernetes Pub/Sub Service Bus SCD Type 2 Configuration-driven / metadata-driven ETL

📌 Freelance Opportunity (Prayagraj)
🏢 IndiTech Consulting
📍 Prayagraj