Python And PySpark Developer

3 days ago


Hyderabad, Telangana, India Nisum Full time ₹ 12,00,000 - ₹ 24,00,000 per year

Company Description

Nisum is a global consulting partner specializing in digital commerce and evolution, offering AI-powered platforms and tailor-made solutions to unlock growth, optimize operations, and create long-term value. With over 25 years of proven experience, Nisum has a consistent track record of delivering complex digital transformations for Fortune 500 clients across various industries including retail, finance, healthcare, sports, and entertainment. Nisum's approach combines cutting-edge AI with deep business understanding, precision execution, and superior service to solve real-world challenges and achieve measurable outcomes. The firm has a 90% client retention rate year-over-year and strategic technology partnerships with industry leaders like AWS, Databricks, Google, Salesforce, Snowflake, and Microsoft.

Role Description

This is a full-time on-site role for a Python and PySpark Developer located in Hyderabad. The developer will be responsible for building and maintaining scalable data processing systems using Python and PySpark. Daily tasks include writing and optimizing Spark jobs, developing data pipelines, integrating data from various sources, and ensuring data accuracy and performance. The role also involves collaborating with cross-functional teams, conducting code reviews, and troubleshooting and resolving data processing issues.

Qualifications

  • Expertise in Python and PySpark
  • Experience with developing and optimizing Spark jobs and data pipelines
  • Strong understanding of distributed computing and big data processing
  • Familiarity with data integration and ETL processes
  • Knowledge of cloud platforms such as AWS, Google Cloud, or Azure
  • Excellent problem-solving and debugging skills
  • Effective communication skills and the ability to work collaboratively in a team
  • Bachelor's degree in Computer Science, Engineering, or a related field is preferred


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