Data Engineer

Objective of the project is to implement a solution to retain all data / documents needed to satisfy a variety of internal and regulatory needs.

Come join Imagineers Group PvT and start working at our client site, the best financial firm globally.

Role & Responsibilities:

• Design and maintain scalable data pipelines for data ingestion, transformation, and processing.
• Build and optimize ETL/ELT workflows using PySpark, Databricks, SQL, and Airflow.
• Develop data models and solutions for retention, reporting, and analytics needs.
• Ensure data quality, integrity, and reliability through validation and monitoring frameworks.
• Integrate data from multiple sources and optimize processing performance.
• Collaborate with cross-functional teams to deliver data solutions and resolve data issues.
• Maintain technical documentation, data lineage, and mapping artifacts.
• Support production deployments, troubleshooting, and continuous improvement through engineering best practices.

Location: Bengaluru Office; Expect Full time work from office

Technical Skills Requirements:

• PySpark & Spark SQL: Hands-on experience writing production-grade PySpark code
• Databricks: Proven experience working within Databricks environments, including cluster configuration and Delta Lake
• Apache Airflow: Strong experience building and managing pipelines in Apache Airflow
• SQL Mastery: Advanced SQL skills (window functions, CTEs, query optimization, indexing strategies)
• Data Modeling: Solid understanding of modern data warehousing concepts
• Version Control: Proficiency with Git and CI/CD deployment workflows
• AWS: Experience in Amazon Web Services (AWS) cloud infrastructure
• ETL/ELT: Proven track record of designing, building, and optimizing scalable ETL/ELT pipelines and data platforms

Requirements

• Candidates will need to be available to start by October 1 2026. DO NOT APPLY if your notice period cannot support that
• Ensure you can be in office in Bengaluru