Data Engineer

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

  
  
  

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)

  
  
  

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