Data Engineer

Finkraft; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Finkraft, located in Bengaluru, is seeking a Senior Data Engineer to build and scale reliable data systems that support analytics and AI. The role involves owning data pipelines and ensuring high-quality data throughout the organization.

The ideal candidate has 5-8 years of experience in Data Engineering, strong SQL skills, and familiarity with tools such as Airflow and Spark. Join a fast-paced fintech startup where your contributions will directly impact product decisions.

Qualifications

• 5–8 years in Data Engineering.
• Strong SQL skills.
• Experience with modern tech stack like Airflow, dbt, Spark.

Responsibilities

• Build and maintain scalable ETL/ELT pipelines using Python.
• Optimize data storage on AWS data warehouses.
• Implement data quality checks and monitoring.

Skills

SQL and data modeling

Data Engineering

Cloud data warehouses

ETL/ELT pipelines

Python

Event streaming (Kafka)

Tools

AWS

Airflow

dbt

Spark

Job description

Bangalore South, India | Posted on 04/03/2026

Finkraft is a fast-growing fintech startup building infrastructure to simplify and modernize financial operations. Data is central to everything we do — powering analytics, automation, and AI-driven products.

Role Overview

We’re looking for a Senior Data Engineer to build and scale reliable data systems that power analytics and AI. You’ll own data pipelines end-to-end and enable high-quality, production-grade data across the organization.

What You’ll Do

• Build and maintain scalable ETL/ELT pipelines (batch & near real-time) using python
• Optimize data storage and performance on cloud (AWS) data warehouses
• Implement data quality checks, validation, and monitoring (SLAs)
• Define data models and contracts across systems
• Enable analytics and AI/ML workflows (feature stores, pipelines)
• Collaborate with product, analytics, and engineering teams
• Work with Python, PostgreSQL, and MongoDB for data processing
• Deploy data pipelines on AWS infrastructure
• Manage data infrastructure for microservices architecture

Requirements

What We’re Looking For

• 5–8 years in Data Engineering
• Strong SQL and data modeling skills
• Experience with modern stack (Airflow, dbt, Spark, Kafka or similar)
• Experience with cloud data warehouses / lakehouse architectures
• Strong ownership mindset and focus on data reliability & correctness

Good to Have

• Exposure to ML/AI pipelines
• Experience with large-scale or fintech datasets
• Kafka (event streaming for real-time data pipelines)

Why Join Us

• Build the core data backbone of a fintech platform
• Direct impact on analytics, AI, and product decisions
• High ownership, fast-paced environment
• Work on cutting-edge data infrastructure and AI/ML workflows