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
Skills Required
- 5-8 years in Data Engineering
- Strong Python programming skills for data pipelines
- Strong SQL and data modeling skills
- Experience with Airflow, dbt, Spark, Kafka or similar modern data stack
- Experience with cloud data warehouses / lakehouse architectures (AWS)
- Ownership mindset with focus on data reliability and correctness
- Experience building and maintaining scalable ETL/ELT pipelines (batch and near-real-time)
- Designing data ingestion systems and implementing data quality checks/monitoring (SLAs)
- Experience working with PostgreSQL and MongoDB for data processing
- Deploying data pipelines on AWS infrastructure and managing data infra for microservices
- Exposure to ML/AI pipelines (feature stores, pipelines)
- Experience with large-scale or fintech datasets
- Docker and Kubernetes (containerized data pipelines)
- Playwright or Selenium for web scraping/data ingestion
What We Do
We are called FinKraft. What do we do? FinKraft - Krafting reliable automated solutions to make complex business processes easier. How do we do it? The process of gathering information, collecting data from various sources and reconciling records is a very painstaking and complex process. With FinKraft, companies need not worry about any of it. We have built a robust automated SaaS platform to help our clients with these processes and eliminate human error. One of the first use cases we have mastered is GST credit on travel expense for corporate India. “Capgemini” saves one million dollars annually using our tool. This marked the beginning of our continuous innovation. We aim to make a difference across industries. A few of our other clients include: Consulting- Mckinsey, Boston Consulting Pharma- Abbott, Sun Pharma Retail- Ikea, Godrej, Benetton Government- WHO, World Bank, US Embassy Banking- American Express, Kotak Industrial- Emerson, Schneider Others- WPP Group, Hershey’s, Tata’s Our Robotic Process Automation (RPA) system makes the process of the extraction of information from emails, websites and other portals more convenient than ever before. Post extraction, our system will also help you read and extract data, reconcile and create actionable real-time dashboards. Strong archiving with an excellent document management system for quick and easy retrieval. Inconsistency and errors in the data are highlighted by our portal to help clients take appropriate measures at the right time. This saves time, money, and enables companies to get error-free reports in just a click!
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