Associate Process Manager

About the role

About the Role We are looking for a hands-on Data Engineer (7+years) to build and optimize scalable data pipelines and analytical datasets on the Databricks platform. You will work closely with Analytics/BI, Product, and Business teams to enable data-driven decision-making. Retail / eCommerce domain exposure is a strong plus, along with the ability to translate business needs into reliable and performant data solutions.

What you'll do

• Design, develop, and maintain robust ETL/ELT pipelines using Databricks (Spark) and Python (PySpark)
• Develop and optimize complex transformations using SQL (joins, window functions, CTEs, query tuning)
• Build curated datasets and data models to support reporting, dashboards, and advanced analytics use cases
• Implement pipeline reliability best practices: data quality checks, monitoring, alerting, and reconciliation
• Optimize Databricks workloads for performance and cost (cluster sizing, partitioning strategies, caching, file formats)

What you need

• 7–13 years in operations
• ETL
• Databricks
• AWS
• Alteryx
• GCP
• IAM
• Any graduate

Good to have

• CI/CD
• Root cause analysis
• Airflow
• Azure
• SQL
• Spark