Cloud Data Solutions Engineer
Atomic NorthHaryāna, Republic Of India, IN1 day ago
Job descriptionAzure 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 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
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
💬 What We’re Looking For
📩 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
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Cloud Data Engineer • Haryāna, Republic Of India, IN
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