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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 solid 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.

Perks

Positive 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

📌 Azure Data Engineer Contractual Role Jaipur (India)
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