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 ServicesDatabricks / Spark for distributed data processingPython, SQL, and Data ModellingExperience 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 professionalsStrong understanding of database principles and modern data architectureAbility 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 .
#Hiring #DataEngineer #Azure #Databricks #PySpark #Python #DataFactory #SQL #DataWarehouse #DataJobs #CloudDataEngineering #TechHiring