Python​/PySpark Developer

We are seeking an experienced Python/PySpark Developer to design, develop, and optimize data-driven applications and solutions.
The ideal candidate will have strong expertise in Python, PySpark, and Databricks, along with experience in Azure Dev Ops and enterprise data integration.
This role requires a deep understanding of algorithms, data structures, and best practices for building scalable and efficient systems.

Key Responsibilities   Develop and maintain applications using Python and PySpark.
Implement ETL/ELT processes and integrate data pipelines.
Utilize Databricks for data processing and analytics.
Perform code testing and analysis using tools such as Pytest and Pylint.
Collaborate with cross-functional teams to design and deliver high-quality solutions.
Apply architectural design patterns and best practices throughout the SDLC.
Consume APIs (REST and others) for data integration.
Work in an Agile development environment and participate in sprint planning and reviews.
Use version control, ticketing systems, and CI/CD workflows for efficient development.

Required Qualifications   Overall 10+ years of software development experience.
Minimum 6 years of hands-on Python development experience.
Strong experience with PySpark and Databricks.
Proficiency in Azure Dev Ops and CI/CD practices.

Experience with Python testing and code analysis tools (Pytest, Pylint).
At least 4 years of full-time development experience using Python.
At least 4 years working with T-SQL, XML, and enterprise schedulers.
Solid understanding of algorithms, data structures, and architectural design patterns.
Extensive experience in software development and SDLC.
Familiarity with frameworks such as Django, Flask, Pyramid, or Tornado.
Integration experience (ETL, ELT) with Python; SSIS knowledge is a plus.
Strong analytical mindset and ability to create high-level product specifications and design documents.
Proven collaboration and influencing skills.

Preferred Qualifications   

Experience with API management and advanced data integration techniques.
Familiarity with cloud platforms and distributed systems.
Exposure to Agile methodologies and tools like Jira.

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