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GirnarSoft
Data Engineer Lead - Work Timing- 3PM to 12AM
GirnarSoft · posted 24 days ago
Bengaluru, Hyderabad +3 morerecruitment + vendor
About the role
| 8+ | Data Engineer Lead - Work Timing- 3PM to 12AM |
Experience: 8+ years
Work Timings: 3:00 PM to 12:00 AM IST Location: Chennai, Bangalore, Mumbai, Pune, Noida We are seeking a skilled Data Engineer with strong experience in Azure data services to design, build, and maintain scalable data pipelines. The role involves working with Azure Data Factory, Databricks, and Python to enable efficient data ingestion, transformation, and analytics. The candidate will collaborate with cross-functional teams to ensure data quality, reliability, and performance across platforms. Experience in cloud-based data architecture and big data processing is highly preferred. Strong in SQL, Spark, Databricks, ADF |
Any Saksoft Hybrid - 3 days WFO |
| 8+ | Data Engineer Lead - Work Timing- 3PM to 12AM |
Experience: 8+ years
Work Timings: 3:00 PM to 12:00 AM IST Location: Chennai, Bangalore, Mumbai, Pune, Noida We are seeking a skilled Data Engineer with strong experience in Azure data services to design, build, and maintain scalable data pipelines. The role involves working with Azure Data Factory, Databricks, and Python to enable efficient data ingestion, transformation, and analytics. The candidate will collaborate with cross-functional teams to ensure data quality, reliability, and performance across platforms. Experience in cloud-based data architecture and big data processing is highly preferred. Strong in SQL, Spark, Databricks, ADF |
Any Saksoft Hybrid - 3 days WFO |
Data Engineer Lead - Work Timing- 3PM to 12AM
Experience: 8+ years
Work Timings: 3:00 PM to 12:00 AM IST
Location: Chennai, Bangalore, Mumbai, Pune, Noida
We are seeking a skilled Data Engineer with strong experience in Azure data services to design, build, and maintain scalable data pipelines.
The role involves working with Azure Data Factory, Databricks, and Python to enable efficient data ingestion, transformation, and analytics.
The candidate will collaborate with cross-functional teams to ensure data quality, reliability, and performance across platforms.
Experience in cloud-based data architecture and big data processing is highly preferred. Strong in SQL, Spark, Databricks, ADF