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 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