Relevant Experience
  • 3 – 5 years

 
 
 
 
Location
  • Gurugram (Work From Office)

 
 
 
 
Employment Type
  • Full-time

 
 
 
 
Key Responsibilties
  • Design, develop, and maintain scalable data pipelines using PySpark.

  • Develop and optimize ETL/ELT workflows for processing large datasets.

  • Write efficient and optimized Python and SQL code.

  • Work with structured and unstructured data from multiple data sources.

  • Optimize Spark jobs for performance, scalability, and reliability.

  • Collaborate with Data Engineers, Data Analysts, and Business stakeholders to understand data requirements.

  • Perform data validation, troubleshooting, and root cause analysis.

  • Ensure adherence to coding standards, best practices, and documentation.

  • Participate in code reviews and contribute to continuous process improvements.

 
 
 
 
Required Skills
  • 3–5 years of experience in Data Engineering or Big Data Development.

  • Strong hands-on experience with PySpark.

  • Proficiency in Python and SQL.

  • Good understanding of Apache Spark architecture and optimization techniques.

  • Experience in developing ETL pipelines.

  • Knowledge of distributed data processing concepts.

  • Experience with Linux/Unix environments.

  • Strong analytical and problem-solving skills.

  • Good communication and teamwork abilities.

 
 
Preferred Skills
  • Experience with cloud platforms such as AWS, Azure, or GCP.

  • Exposure to Databricks.

  • Experience with Apache Airflow or similar workflow orchestration tools.

  • Knowledge of Hive, Hadoop, or Kafka.

  • Familiarity with Git and CI/CD practices.

 
 
 
Educational Qualification
  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.

 
 
 
 
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