Description

Design, develop, and maintain backend services and data applications using Python.

Write and optimize complex SQL across PostgreSQL and Amazon Redshift (queries, stored procedures, performance tuning).

Build, orchestrate, and monitor data pipelines using Step Functions and/or Apache Airflow.

Develop serverless components and event-driven workflows using AWS Lambda.

Manage data storage, ingestion,aq and lifecycle on Amazon S3.

Design and maintain data models, schemas, and indexing strategies for performance and scalability.

Integrate and maintain metadata/data-catalog workflows via DataHub.

Collaborate on and maintain integrations with existing C# components within the project.

Ensure data integrity, security, observability, and cost efficiency across the pipeline.

Participate in code reviews, CI/CD, and cross-functional collaboration (product, QA, DevOps).

Requirements

4-8 years of hands-on software/data engineering experience.
Strong proficiency in Python (and a framework such as Django, Flask, or FastAPI).
Strong expertise in PostgreSQL — query optimization, indexing, stored procedures.
Hands-on experience with AWS cloud services, specifically: Amazon Redshift (data warehousing, query/performance tuning) Amazon S3 (storage, data lake patterns) AWS Lambda (serverless, event-driven processing) Pipeline orchestration experience with AWS Step Functions and/or Apache Airflow. Experience with data cataloging / metadata management using DataHub (or similar). Solid understanding of relational data modeling and ETL/ELT design. Proficiency with Git and CI/CD workflows.

Job responsibilities

Design, develop, and maintain backend services and data applications using Python.
Write and optimize complex SQL across PostgreSQL and Amazon Redshift (queries, stored procedures, performance tuning).
Build, orchestrate, and monitor data pipelines using Step Functions and/or Apache Airflow.
Develop serverless components and event-driven workflows using AWS Lambda.
Manage data storage, ingestion,aq and lifecycle on Amazon S3.
Design and maintain data models, schemas, and indexing strategies for performance and scalability.
Integrate and maintain metadata/data-catalog workflows via DataHub.
Collaborate on and maintain integrations with existing C# components within the project.
Ensure data integrity, security, observability, and cost efficiency across the pipeline.
Participate in code reviews, CI/CD, and cross-functional collaboration (product, QA, DevOps).

What we offer

Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.

Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!

Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.

Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings.

Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.

Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest and most forward-thinking companies. Since 2000, we've been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

Python & PostgreSQL Developer (AWS Data Engineering) IRC298906