Data Engineer

35 Openings-Data Engineer 1/2/3/4 With ( GCP-ETL-PYTHON-SQL ) Position 1: Data Engineer (GCP, PYTHON, SQL,ETL ) Experience: 5 to 8 Years Location: PAN India (Remote) Must-Have Skills: Azure Data Factory (ADF) Azure Synapse Python Good-to-Have: Azure DevOps Azure Logic Apps Job Highlights: Design and develop scalable data pipelines using ADF & Synapse. Write custom data transformation scripts in Python. Integrate with various Azure services and monitor performance. Position 2: Data Engineer (GCP, PYTHON, SQL,ETL) Experience: 5 to 8 Years Location: PAN India (Remote) Must-Have Skills: AWS Glue AWS Athena Amazon Redshift Python Good-to-Have: AWS Lambda AWS Step Functions Job Highlights: Develop ETL pipelines using AWS Glue and process data using Athena. Manage data warehouses in Redshift. Write automation scripts in Python for data transformation and monitoring. Position 3: Data Engineer (GCP, PYTHON, SQL,ETL) Experience: 5 to 8 Years Location: PAN India (Remote) Must-Have Skills: Snowflake Strong SQL Data Pipeline Development Good-to-Have: DBT (Data Build Tool) Cloud Experience (Azure/AWS) Highlights: Build scalable and efficient data models on Snowflake. Create and optimize complex SQL queries. Work with DBT and support CI/CD pipelines. Position 4: Data Engineer (GCP, PYTHON, SQL,ETL) Experience: 5 to 8 Years Location: PAN India (Remote) Must-Have Skills: Azure Data Factory Azure Databricks PySpark Good-to-Have: Delta Lake Azure Synapse Job Highlights: Develop and maintain large-scale ETL pipelines using ADF & Databricks. Process big data using PySpark and Delta Lake. Collaborate with teams to deliver high-quality data solutions.