Senior Data Engineer

Position : Senior Data Engineer (Azure)

Experience : 6+ years

Skills : Azure Databricks, PySpark, Python, SQL, Azure Data Factory, Data Modelling, Data Migration, Data Warehousing

Location : India (Remote / Hybrid options available)

Interview Mode : Virtual

Notice Period : Immediate to 30 Days

Key Responsibilities

Design and develop data pipelines and ETL workflows using Azure Data Factory, Azure Databricks, and Data Migration Services

Build and manage data models , data warehouses , and data lakes on Azure

Perform large-scale data processing (batch and streaming) using PySpark / Kafka / Event Hubs

Collaborate with teams to ensure data quality, consistency, and performance optimization

Work on Azure provisioning, configuration, and solution development (ADF, ADB, ADW, etc.)

Preferred Skills & Tools

Azure SQL Data Warehouse, Data Factory, Data Lake, Analysis Services

Databricks / Spark for distributed data processing

Python, SQL, and Data Modelling

Experience with DevOps tools (Azure DevOps, Jenkins, Airflow)

Familiarity with data visualization tools (Power BI, Tableau)

Strong analytical mindset and problem-solving attitude

What We’re Looking For

Highly self-motivated and detail-oriented professionals

Strong understanding of database principles and modern data architecture

Ability to prioritize and execute tasks effectively in fast-paced environments

Interested?

If you’re ready to make an impact as a Senior Azure Data Engineer , send your profile today!

We’re reviewing applications for immediate to 30-day joiners .

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