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Data Engineer
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Finkraft
Job 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
What We’re Looking For
Why Join Us
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
- 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
Required Skills
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