Freecharge - Data Engineer - Spark/Python

Job Title : Engineering (Data Engineering)

Location : Gurgaon

Experience Required : 1+ Years

Employment Type : Full-Time

Department : Data & Analytics

About the Role :

We are looking for a motivated Data Engineer to contribute to the design and development of scalable data frameworks and solutions. The role involves working with big data technologies like Spark, Kafka, and Python/Scala to support data management, analytics, and reporting requirements.

This is a hands-on role where you will work closely with senior engineers to implement high-quality data

pipelines and applications.

Key Responsibilities :

- Work on data ingestion, transformation, and loading (ETL) processes.

- Support the design and development of data pipelines using frameworks such as Spark, Kafka, and AWS services.

- Write SQL queries and scripts to process, clean, and analyze data.

- Assist in developing Python-based APIs for data access and automation.

- Deploy and monitor data applications on AWS Cloud platform.

- Troubleshoot and optimize data flows for better performance.

- Collaborate with the team on data warehousing, mining, and analytics projects.

Required Qualifications :

- 1- 3 years of experience in data engineering or big data development.

- Proficiency in Python (exposure to Java/Scala preferred).

- Understanding of data structures, algorithms, and problem-solving skills.

- Hands-on experience with Spark and knowledge of the Hadoop ecosystem.

- Familiarity with SQL and NoSQL databases.

- Exposure to Kafka or other messaging systems.

- Basic knowledge of AWS services such as S3, Glue, or Redshift.

- Understanding of ETL frameworks and data lake platforms (Hudi, Iceberg, or Delta good to have).