Data Engineer

Indium; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Indium in Hyderabad is seeking a Data Engineer to design, build, and maintain scalable data pipelines in enterprise data environments.

You will work with ETL workflows, process large volumes of data using PySpark, and ensure data quality for downstream analytics and business use. The role emphasizes collaboration with data teams and delivering reliable data infrastructure.

Qualifications

• Strong hands-on experience in ETL processes.
• Proficiency in PySpark.
• Good understanding of data pipelines and data transformation.
• Experience working with large datasets.

Responsibilities

• Design, build, and maintain scalable data pipelines.
• Work with ETL workflows and processing large data volumes using PySpark.
• Ensure data quality and reliability for downstream analytics and business use.

Skills

ETL processes

PySpark

data pipelines

data transformation

large datasets

Job description

• Strong hands-on experience in ETL processes
• Proficiency in PySpark
• Good understanding of data pipelines and data transformation
• Experience working with large datasets

Good to Have

• Exposure to web scraping techniques

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 use.