- Design, develop, and maintain scalable data pipelines using PySpark and Python
- Write optimized and complex SQL queries for data transformation and analysis
- Work with Hadoop and Big Data technologies for large-scale data processing
- Build and manage ETL pipelines and data warehouse solutions
- Collaborate with business stakeholders to translate requirements into data solutions
- Ensure data quality, reliability, and performance across systems
- Troubleshoot and optimize existing data workflows and pipelines
Required Skills:
- Strong hands-on experience with PySpark, Python, and SQL
- Good understanding of Data Engineering concepts
- Experience with Hadoop / Big Data technologies
- Solid knowledge of ETL processes and data warehousing
- Solid communication skills and business understanding
At Indium, diversity, equity, and inclusion (DEI) are core values. We promote DEI through a dedicated council, expert sessions, and tailored training, fostering an inclusive workplace. Our initiatives, like the WE@IN women empowerment program and DEI calendar, create a culture of respect and belonging. Recognized with the Human Capital Award, we're committed to an environment where everyone thrives. Join us in building a diverse, innovative workplace.
Indium do not solicit or accept any form of fees or payment at any stage of the hiring process.
📌 Data Engineer (India)
🏢 Indium software
📍 India
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