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About the Role
Data Engineers | Python • PySpark • Databricks
Hyderabad | Hybrid | 2–6 Years
Join a global analytics-driven organization transforming the Life Sciences & Healthcare industry through modern data engineering and cloud-scale platforms.
If you enjoy building high-performance data pipelines, solving large-scale transformation problems, and working with modern cloud data stacks — this role is for you.
What You’ll Work On
• Large-scale ETL/ELT pipelines using PySpark & Databricks
• Enterprise-grade cloud data platforms
• Data transformation & optimization for analytics workloads
• Snowflake, Azure Data Stack & AWS-based ecosystems
• High-volume structured & semi-structured datasets
• Cross-functional collaboration with global business teams
Tech Stack
Python | PySpark | Databricks | SQL | Snowflake | Azure Data Factory | ADLS | Delta Lake | AWS S3
What Makes This Role Exciting...
Hyderabad | Hybrid | 2–6 Years
Join a global analytics-driven organization transforming the Life Sciences & Healthcare industry through modern data engineering and cloud-scale platforms.
If you enjoy building high-performance data pipelines, solving large-scale transformation problems, and working with modern cloud data stacks — this role is for you.
What You’ll Work On
• Large-scale ETL/ELT pipelines using PySpark & Databricks
• Enterprise-grade cloud data platforms
• Data transformation & optimization for analytics workloads
• Snowflake, Azure Data Stack & AWS-based ecosystems
• High-volume structured & semi-structured datasets
• Cross-functional collaboration with global business teams
Tech Stack
Python | PySpark | Databricks | SQL | Snowflake | Azure Data Factory | ADLS | Delta Lake | AWS S3
What Makes This Role Exciting...
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