lease share your resume to [HIDDEN TEXT] / Call: 8867163603 for more details.
Work Location:Remote
Bangalore Office: GyanSys Infotech, Prestige Shantiniketan (PSN) Tech Park, ITPL Road, Whitefield, Bangalore - 560048.
Job Title: Sr. Data engineer (Azure Databricks/Snowflake/Power BI/Fabric/SQL) (Lead/Principal/Architect)
Notice Period:Immediate to max. 15 days Only
Experience:6 - 15 Yrs
Positions: 2
Job Description:
- 7+ years of experience in Data Engineering / BI development.
- Design and optimize scalable data pipelines using Azure Databricks, Snowflake, PowerBI Microsoft Fabric for large-scale analytics.
- Develop and maintain Power BI dashboards with advanced DAX, strong data modeling concepts, and Power Query expertise.
- Implement robust ETL/ELT workflows using SQL and cloud-based tools, ensuring data accuracy, performance, and security.
- Leverage Databricks for big data processing, transformation, and performance optimization in distributed environments.
- Collaborate with cross-functional teams to deliver end-to-end data solutions across cloud platforms.
- Optimize data warehouse architecture and reporting performance across multi-cloud ecosystems.
- Drive best practices in data governance, automation, documentation, and data quality management.
6-15 years96
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Job Description
Download Resumelease share your resume to [HIDDEN TEXT] / Call: 8867163603 for more details.
Work Location:Remote
Bangalore Office: GyanSys Infotech, Prestige Shantiniketan (PSN) Tech Park, ITPL Road, Whitefield, Bangalore - 560048.
Job Title: Sr. Data engineer (Azure Databricks/Snowflake/Power BI/Fabric/SQL) (Lead/Principal/Architect)
Notice Period:Immediate to max. 15 days Only
Experience:6 - 15 Yrs
Positions: 2
Job Description:
- 7+ years of experience in Data Engineering / BI development.
- Design and optimize scalable data pipelines using Azure Databricks, Snowflake, PowerBI Microsoft Fabric for large-scale analytics.
- Develop and maintain Power BI dashboards with advanced DAX, strong data modeling concepts, and Power Query expertise.
- Implement robust ETL/ELT workflows using SQL and cloud-based tools, ensuring data accuracy, performance, and security.
- Leverage Databricks for big data processing, transformation, and performance optimization in distributed environments.
- Collaborate with cross-functional teams to deliver end-to-end data solutions across cloud platforms.
- Optimize data warehouse architecture and reporting performance across multi-cloud ecosystems.
- Drive best practices in data governance, automation, documentation, and data quality management.