| Detailed JD (Roles and Responsibilities) | - Design develop and maintain robust ETL/ELT data pipelines using Azure Data Factory (ADF) to extract transform and load data from various sources.
| - Implement and manage data storage solutions leveraging Azure Data Lake Storage Gen2 (ADLS Gen2) including data organization partitioning and lifecycle management.
| - Develop and optimize SQL queries stored procedures and database objects for data manipulation reporting and analytical purposes within Azure SQL Database or other SQL-based data platforms.
| - Collaborate with data architects data scientists and business stakeholders to understand data requirements and translate them into technical solutions.
| - Ensure data quality integrity and security across all data solutions adhering to data governance best practices.
| - Monitor troubleshoot and optimize data pipelines and storage solutions for performance scalability and cost-efficiency.
| - Participate in code reviews documentation and continuous improvement initiatives for data engineering processes.
| - Implement and manage data access controls and security measures within ADLS Gen2 and Azure SQL.
| |
| Mandatory skills | ADF ADLS Gen2 and SQL |
| Desired skills | ADF ADLS Gen2 and SQL |
| Work Location | India |
| Mode of Interview- Telephonic/Face to Face/Video Interview | MS Teams F2F |
| WFO / WFH / Hybrid | Hybrid |
| Shift Details (Time) | Standard |
Detailed JD (Roles and Responsibilities) Design develop and maintain robust ETL/ELT data pipelines using Azure Data Factory (ADF) to extract transform and load data from various sources. Implement and manage data storage solutions leveraging Azure Data Lake Storage Gen2 (ADLS Gen2)...
| Detailed JD (Roles and Responsibilities) | - Design develop and maintain robust ETL/ELT data pipelines using Azure Data Factory (ADF) to extract transform and load data from various sources.
| - Implement and manage data storage solutions leveraging Azure Data Lake Storage Gen2 (ADLS Gen2) including data organization partitioning and lifecycle management.
| - Develop and optimize SQL queries stored procedures and database objects for data manipulation reporting and analytical purposes within Azure SQL Database or other SQL-based data platforms.
| - Collaborate with data architects data scientists and business stakeholders to understand data requirements and translate them into technical solutions.
| - Ensure data quality integrity and security across all data solutions adhering to data governance best practices.
| - Monitor troubleshoot and optimize data pipelines and storage solutions for performance scalability and cost-efficiency.
| - Participate in code reviews documentation and continuous improvement initiatives for data engineering processes.
| - Implement and manage data access controls and security measures within ADLS Gen2 and Azure SQL.
| |
| Mandatory skills | ADF ADLS Gen2 and SQL |
| Desired skills | ADF ADLS Gen2 and SQL |
| Work Location | India |
| Mode of Interview- Telephonic/Face to Face/Video Interview | MS Teams F2F |
| WFO / WFH / Hybrid | Hybrid |
| Shift Details (Time) | Standard |
View more
View less
Job Location:
Monthly Salary:
Posted on:
Yesterday
Vacancies:
1 Vacancy
