Python Developer (PySpark, Kafka)

6 - 8 years

6 - 16 Lacs

Posted:None| Platform: Naukri logo

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Job Type

Full Time

Job Description

Key Responsibilities:

  • Develop and maintain scalable data processing pipelines using Python and PySpark.
  • Design, implement, and manage real-time data streaming applications using Apache Kafka.
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements.
  • Optimize data workflows for performance and reliability in distributed computing environments.
  • Write efficient, reusable, and well-documented code.
  • Monitor and troubleshoot data pipeline issues and ensure data quality.
  • Work with cloud platforms (AWS, Azure, or GCP) and big data tools as needed.
  • Participate in code reviews, testing, and continuous integration/deployment.
  • Stay updated with emerging technologies and best practices in big data and streaming platforms.

Required Skills & Qualifications:

  • Bachelors degree in Computer Science, Engineering, or related field.
  • Strong programming skills in Python.
  • Hands-on experience with PySpark for large-scale data processing.
  • Solid understanding of Apache Kafka and experience with building streaming data pipelines.
  • Familiarity with distributed computing concepts and frameworks.
  • Experience working with relational and NoSQL databases.
  • Knowledge of data formats such as JSON, Avro, Parquet, etc.
  • Experience with cloud platforms and containerization (Docker) is a plus.
  • Familiarity with version control (Git) and CI/CD practices.
  • Strong problem-solving skills and ability to work in a collaborative team environment.

Preferred Qualifications:

  • Experience with data orchestration tools like Apache Airflow.
  • Knowledge of other big data technologies such as Hadoop, Hive, or Presto.
  • Experience with monitoring and logging tools for data pipelines.
  • Familiarity with machine learning workflows or data science tools.

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