Python, SQL

Actively Reviewing the Applications

Cognizant

On-site INR 3–8 LPA

Posted 3 weeks ago • Apply by April 30, 2026

Job Description

Skill: Python, SQL

Experience: 6 to 9 Years

Location : AIA – Kolkata

Job Summary

We are seeking a skilled Python Developer with strong SQL knowledge to design, develop, and maintain data-driven applications. The ideal candidate will work closely with cross-functional teams to build scalable, efficient, and secure systems for data processing, analytics, and automation.

Key Responsibilities

Design, develop, and maintain Python applications for data processing and automation.
Write optimized SQL queries, stored procedures, and database scripts for relational databases (e.g., MySQL, PostgreSQL, SQL Server).
Integrate Python applications with databases and APIs for data ingestion and transformation.
Optimize database performance, indexing, and query execution plans.
Collaborate with data analysts, engineers, and product teams to deliver business solutions.
Implement ETL (Extract, Transform, Load) pipelines for data migration and reporting.
Ensure code quality through unit testing, code reviews, and adherence to best practices.
Maintain documentation for code, database schemas, and workflows.
Troubleshoot and debug application and database issues.

Required Skills & Qualifications

Strong proficiency in Python (Pandas, NumPy, SQLAlchemy, etc.).
Solid understanding of SQL (DDL, DML, joins, subqueries, indexing, transactions).
Experience with relational databases such as PostgreSQL, MySQL, or SQL Server.
Knowledge of database design, normalization, and performance tuning.
Familiarity with version control systems (Git).
Experience with REST APIs and JSON/XML data formats.
Strong problem-solving and analytical skills.

Preferred Skills

Experience with cloud platforms (AWS, Azure, GCP).
Knowledge of NoSQL databases (MongoDB, Redis).
Familiarity with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn).
Understanding of CI/CD pipelines and containerization (Docker).
Experience with big data tools (Spark, Hadoop) is a plus.