Job description:
Experience: 4+ Years
Job Type: Contractual
Location: Remote
Working Hours: 11:00 AM – 8:00 PM (Flexibility may be required as per project needs)Job SummaryWe are looking for an experienced Azure Data Engineer with strong hands-on expertise in Azure Data Factory (ADF), Databricks (PySpark), and Advanced SQL. The ideal candidate will have experience building and maintaining large-scale data pipelines using modern Azure data services.Mandatory Skills
- 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
Requirements
Key Responsibilities
- 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.
Benefits
Good to Have
- 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
Job Type: Contractual