Python Developer

Mphasis; Gurugram District, Bengaluru; On-site; INR 2,800,000 - 3,600,000; Full time

Job summary

Mphasis is seeking an experienced Python Developer to manage a critical banking project in India. You will work on cutting-edge data platforms, building scalable data pipelines and delivering high-quality data products.

The role requires 8+ years of hands-on Python, Spark, SQL experience, AWS, and collaboration with architects, data engineers, and business SMEs across the full delivery cycle. Experience with CI/CD and data-quality controls is valued.

Qualifications

• 8+ years of hands-on Python development experience.
• Experience building scalable data pipelines using Spark and AWS.
• Strong SQL skills and data-quality controls; ability to work across the full data delivery lifecycle.

Responsibilities

• Develop and manage Python-based data applications for a critical banking project.
• Design and build batch and real-time data pipelines using PySpark on AWS (Glue, S3).
• Collaborate with data architects, engineers, and SMEs across define-build-test-release cycle.
• Ensure high-quality, reusable data products from complex datasets.
• Contribute to CI/CD practices and data-quality and reconciliation controls.

Skills

Python

PySpark

SQL

AWS

Job description

Job Summary :

A Python Developer to manage a critical project for one of our biggest clients in banking domain. The Individual should be passionate about technology, experienced in developing and managing cutting edge technology applications.

Years of experience needed - 8 Yrs

Location : GGN/BLR

Skills required: Python, PySpark, SQL, AWS

Technical Skills:

• Work mainly in Python, SQL and PySpark with CI/CD and strong data-quality and reconciliation controls.
• Design and build scalable batch and real-time data pipelines using PySpark on AWS (Glue, S3).
• Develop high-quality, reusable data products from complex datasets.
• Collaborate with architects, data engineers, and business SMEs across the full define-build-test-release delivery cycle.
• Cloud data engineering experience is essential. AI/ML forecasting exposure is a bonus.