Data Engineer

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 • Strong engineering-focused environment • High ownership & impactful projects • Hybrid flexibility with collaborative global teams We’d Love to Speak With You If You Have • Strong hands-on experience with PySpark & Databricks • Experience building scalable ETL/data pipelines • Good SQL & performance optimization skills • Exposure to Azure/AWS data ecosystems