AWS Data Engineer

About Credgenics:

Credgenics is India's first of its kind NPA resolution platform backed by credible investors including Accel Partners and Titan Capital. We work with financial institutions, Banks, NBFCs & Digital lending firms to improve the efficiency of their collection using technology, automation intelligence and optimal legal routes to facilitate the resolution of stressed assets. With all major banks and NBFCs as our clients, our SaaS-based collections platform helps them efficiently improve their NPA, geographic reach and customer experience. We count most of India's lending majors as our clients such as ICICI Bank, Axis Bank, Bank of Baroda, etc and have been able to grow 100% MoM consistently even among the pandemic.

About the Role

We're looking for a passionate and hands-on Data Engineer (Exp -1 to 3 Yrs) to join

our data team. You'll be responsible for building and maintaining reliable data pipelines and

working with modern data tools to support analytics and business decisions.

Key Responsibilities

Design and develop data pipelines using Python, SQL, and Airflow

Transform and move data efficiently using PySpark and Redshift

Work closely with analysts and stakeholders to deliver clean, usable datasets

Monitor and optimize data workflows for performance and reliability

Ensure data integrity, quality, and security across pipelines

Must-Have Skills

Proficient in SQL for data transformation and querying

Strong Python programming skills, especially for automation and ETL tasks

Experience with Redshift or similar data warehouse platforms

Hands-on experience with Airflow for workflow orchestration

Working knowledge of PySpark for distributed data processing

Understanding of data pipeline architecture and best practice