Strong expertise in:
Hands-on experience with Azure Databricks / Synapse Spark.
Strong coding skills in PySpark, SQL, Databricks SQL.
Solid understanding of Delta Lake concepts.
Strong SQL knowledge including:
Experience with Data Warehousing, Star Schema, Snowflake Schema, and Slowly Changing Dimensions (SCD).
Good understanding of NoSQL databases.
Experience in handling high-volume data ingestion and performance tuning.
Strong understanding of Azure security, access control, and governance.
Good communication and analytical skills.
Design, develop, and maintain end-to-end data pipelines using Azure technologies.
Build and manage ETL/ELT workflows using Azure Data Factory (ADF) and Logic Apps.
Develop scalable data processing solutions using Azure Databricks, PySpark, Databricks SQL, and Delta Lake.
Work with Azure Synapse Analytics for data warehousing and large-scale analytics workloads.
Implement data ingestion processes from multiple sources such as relational databases, FTP, SAP, APIs, and flat files.
Create and optimize loading processes for Azure SQL, Synapse, and Azure Data Lake.
Perform complex data transformations for structured and semi-structured data formats like JSON, XML, CSV, and Parquet.
Monitor production systems, troubleshoot failures, and ensure SLA adherence.
Improve performance using partitioning, cluster optimization, indexing, and code tuning.
Collaborate with cross-functional teams including analysts, architects, and business stakeholders.
Support cloud migration projects from on-premises data platforms to Azure.
Implement CI/CD pipelines for automated deployment of ADF, Databricks, and SQL objects.
Follow Agile methodology for sprint planning, delivery, and continuous improvement.
Date Posted:
21st Apr, 2026
Expiration date:
16th Dec, 2026
Location:
Bengaluru , Karnataka, India
Job Type:
IT
Job Shift:
Fixed Shift
Functional Areas:
IT Support
Positions:
2
Job Experience:
6 Year
Salary Period:
Monthly Pay Period