Freecharge - Data Engineer - Spark/Python

Job Title : Engineering (Data Engineering)

Location :

Gurgaon

Experience Required :

1+ Years

Employment Type :

Full-TimeDepartment : 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 datapipelines 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).
  

(ref:hirist.tech)