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Finkraft

Data Engineer

Finkraft Bengaluru, Karnataka, India

Financial Services · 51-200 employees

Oct 14
data-engineer Senior (5-10 yrs) Full-time India
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About the role

You will build and maintain scalable ETL/ELT pipelines while designing data ingestion systems across multiple sources. Additionally, you will optimize cloud data storage and enable analytics and AI/ML workflows.

What they look for

Python SQL Data modeling ETL/ELT AWS Airflow dbt Spark Kafka PostgreSQL MongoDB Docker Kubernetes Data engineering Data pipelines Cloud data warehouses

Requirements

The role requires 5-8 years of experience in data engineering with strong proficiency in Python and SQL. Candidates should have experience with modern data stacks including Airflow, dbt, Spark, and cloud data warehouse architectures.

Benefits

Core data backbone development Impact on analytics and AI High ownership environment Cutting-edge infrastructure

Full description

About Finkraft

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
  • Design data ingestion systems across multiple sources
  • 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 Python programming skills for data pipelines
  • 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)
  • Docker & Kubernetes (containerized data pipelines)
  • Playwright/Selenium (web scraping for data ingestion)

Benefits

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

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