Found Description
Design, develop, and maintain ETL/data integration pipelines using Azure Data Factory (ADF) and Azure Databricks.
Responsibilities
Build data ingestion and transformation solutions using Python, PySpark, and SQL.
Develop and optimize medium to complex SQL scripts, stored procedures, and database queries.
Work with Azure Data Lake, Blob Storage, and related Azure data services.
Perform source system analysis, data mapping, data migration, and data quality validation.
Support SIT, UAT, bug fixes, and testing activities across project phases.
Analyze and optimize data pipeline performance and scalability.
Collaborate with clients and onshore teams to understand requirements and deliver solutions.
Participate in Agile/Scrum ceremonies and project planning activities.
Qualifications
Strong experience with Azure Data Factory (ADF) and Azure Databricks.
Hands-on expertise in Python, PySpark, SQL, and ETL development.
Experience with Azure Dat...
Responsibilities
Build data ingestion and transformation solutions using Python, PySpark, and SQL.
Develop and optimize medium to complex SQL scripts, stored procedures, and database queries.
Work with Azure Data Lake, Blob Storage, and related Azure data services.
Perform source system analysis, data mapping, data migration, and data quality validation.
Support SIT, UAT, bug fixes, and testing activities across project phases.
Analyze and optimize data pipeline performance and scalability.
Collaborate with clients and onshore teams to understand requirements and deliver solutions.
Participate in Agile/Scrum ceremonies and project planning activities.
Qualifications
Strong experience with Azure Data Factory (ADF) and Azure Databricks.
Hands-on expertise in Python, PySpark, SQL, and ETL development.
Experience with Azure Dat...