Azure Data Engineer ( Contractual Role )
RemoteIndia
IndiaRemoteContractSenior LevelSmall
ContractSenior LevelSmall
Job Summary
Design, develop, and deploy robust ETL/ELT pipelines using Azure Data Factory and Azure Synapse. Implement data ingestion, transformation, and integration workflows using PySpark on Databricks, leveraging schema-on-read methodologies for large-scale data processing. Optimize SQL queries and pipeline performance for production workloads while collaborating with cross-functional teams to ensure data quality and reliability. This contractual role requires 4+ years of experience and involves working between 11:00 AM and 8:00 PM with flexibility as per project needs.
Required Qualifications
- 4+ Years
- Advanced SQL – complex queries, stored procedures, performance tuning
- Azure Data Factory (ADF) – pipeline creation, data flows, orchestration
- Azure Databricks (PySpark) – data transformation, optimization, and integration
- Azure Data Lake Storage (ADLS Gen2) – schema-on-read and big-data
- Design, develop, and deploy robust ETL/ELT pipelines using Azure ADF and Azure Synapse
- Implement data ingestion, transformation, and integration workflows using PySpark on Data bricks
- Work with schema-on-read methodologies for large-scale data processing
- Collaborate with cross-functional teams to ensure data quality and reliability
- Optimize SQL queries and pipeline performance for production workloads
Desired Qualifications
- Azure Synapse experience
- Power BI / Tableau reporting exposure
- Power BI DAX development knowledge
- Experience with Python scripting
- Familiarity with Terraform or other infrastructure-as-code tools
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