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Senior Data Engineer – Remote (India Offshore)
Experience: 10+ Years
Location: Remote (India Offshore)
Job Summary
We are looking for an experienced Senior Data Engineer to lead and drive enterprise-scale data engineering initiatives. The ideal candidate will have strong expertise in designing and implementing modern data platforms, data warehouses, and data lakes using AWS technologies. This role requires hands-on technical expertise along with leadership capabilities to manage end-to-end data programs, ensure data governance, and collaborate with cross-functional teams to deliver scalable and reliable data solutions.
Key Responsibilities
Required Skills
Job ID: 153173785
Skills:
Data Engineer, Python, Sql, Pandas, BigQuery, Etl, Docker, Polar
Skills:
Data Modeling, Pyspark, AWS Glue, Sql, Terraform, Etl Development, Python, AWS Step Functions, AWS EventBridge, AWS IAM Security Best Practices, S3-based Data Lakes, Reconciliation Frameworks, Data Validation
Skills:
Pyspark, PostgreSQL, AWS Glue, Nosql, Numpy, Terraform, Python, AWS, Pyspark, Cloudformation, Dynamodb, Data Architecture, Sql, Pandas, Aws Cli, Amazon Redshift, Apache Kafka, Databricks, Kubernetes, Airflow, AWS CDK, Dask, dbt, Modern data processing frameworks, Iceberg, Cloud-native solutions, Data lake architectures, Delta Lake
Skills:
Powershell Scripting, Sql, Azure Synapse, Git, Azure Data Factory, Azure Data Lake, Databricks, Sap Odata, Etl, Azure Blob, Agile Software Development methodologies, Azure Storage Explorer, Data Factory pipelines, streaming technologies, SQL stored procedures
Skills:
snowflake , Etl Tools, Tableau, Data Governance, Python, Sql, Compliance best practices