Job Description – Data Engineer

Experience: 3 Years of Relevant Experience

Role Summary

We are looking for a Data Engineer to design, build, and maintain scalable data pipelines. The role involves working with ETL workflows, processing large volumes of data using PySpark, and ensuring data quality and reliability for downstream analytics and business requirements.

Key Skills & Qualifications

• Strong hands-on experience in ETL processes.

• Proficiency in PySpark.

• Good understanding of data pipelines and data transformation.

• Experience working with large datasets.

• Ability to build, optimize, and maintain scalable data workflows.

Good to Have

• Exposure to web scraping techniques.

• Knowledge of data extraction and processing methods.

Key Responsibilities

• Design, develop, and maintain efficient ETL pipelines.

• Process and transform large datasets using PySpark.

• Build and optimize data pipelines to ensure scalability and performance.

• Implement data quality checks and ensure data accuracy and reliability.

• Troubleshoot and resolve data pipeline issues.

• Support downstream analytics and business reporting requirements.

Indium is an AI services company that helps enterprises build, scale, and innovate with cutting-edge technology. Backed by the prominent private equity firm EQT, Indium has spent 26 years providing excellence in digital engineering for Fortune 500 firms. With an "AI-first by design" approach, Indium specializes in Agentic AI, Data & Analytics, Application Engineering, and Quality Engineering.