Data/ETL Engineer (Azure Databricks)

Role Summary

Ascendion is hiring a Data/ETL Engineer (Azure Databricks) in Bangalore, Karnataka. In this data platform engineering role, you will design, construct, and optimize scalable enterprise data pipelines using Azure Databricks, Azure Data Factory (ADF), PySpark, Python, and SQL. You will implement robust ETL/ELT data integration architectures, apply dimensional modeling techniques (Star/Snowflake Schemas), and build data solutions supporting analytics platforms.

Key Responsibilities

• Pipeline Engineering & Ingestion: Design, build, and deploy high-throughput ETL/ELT pipelines using Azure Data Factory and Azure Databricks with PySpark.
• Data Modeling & Architecture: Architect scalable data warehouse structures utilizing Star Schema, Snowflake Schema, and dimensional modeling best practices.
• Optimization & Data Integration: Optimize PySpark scripts, SQL queries, and data transformation jobs for performance, scalability, and data quality assurance.
• Analytics & Visualization Support: Collaborate with business stakeholders to expose structured data layers for Power BI dashboards and Supply Chain analytics.

Key Qualifications

• Education: Bachelor's or Master's degree in Computer Science, Data Engineering, Information Technology, or a related field.
• Experience: 3+ years of hands-on data engineering experience building cloud data platform solutions.
• Mandatory Technical Stack: Azure Databricks, Azure Data Factory (ADF), PySpark, Python, SQL, ETL/ELT methodologies, and Data Warehousing concepts.
• Preferred Technical & Domain Exposure: Power BI dashboard creation, broader Azure cloud ecosystem services, and Supply Chain domain experience.

About Ascendion

Ascendion is a leading digital engineering services company focused on helping enterprise clients build modern technology solutions, cloud data architectures, and AI-enabled software systems.