Job Description
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 • Opportunity to work on enterprise-scale healthcare analytics • Exposure to modern cloud-native data architecture ...
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