Development Lead - Advanced RPA

About the role

We are hiring an experienced Data Engineer to design, build, and optimize scalable data solutions across AWS and Microsoft Azure . The role requires strong hands-on expertise in Databricks, data lakes and lakehouse architecture, ETL/ELT pipelines, data warehousing , and the delivery of business-ready reporting solutions using Power BI .

What you'll do

• Design, develop, test, and maintain scalable batch and streaming data pipelines across AWS and Azure
• Build and optimize Databricks lakehouse solutions using PySpark, Delta Lake, and medallion architecture
• Integrate structured and unstructured data from multiple sources while ensuring reliability, scalability, and cost efficiency
• Develop curated data models and semantic layers to support Power BI dashboards, KPIs, and self-service reporting
• Apply data quality checks, security controls, governance standards, metadata management, and lineage across the data lifecycle

What you need

• 6–10 yrs of experience
• RPA
• SQL
• AWS
• Python
• Git
• ETL
• Any graduate

Good to have

• Cloud security
• Tableau
• Power BI
• Azure
• Databricks
• Data modelling