Description

Role : Data Engineer
Location: Minneapolis, MN Its day 1 onsite – Need Locals 

🧩 Key Responsibilities
Design and Build Data Pipelines
Develop scalable ETL/ELT pipelines to extract, transform, and load data from multiple sources
Data Infrastructure & Architecture
Create and maintain data warehouses, data lakes, and database systems 
Data Integration
Integrate data from APIs, databases, and external systems into centralized platforms
Ensure Data Quality
Implement validation, cleansing, and monitoring processes to maintain data accuracy 
Optimize Performance
Improve pipeline efficiency, scalability, and data access speed 
Collaboration
Work closely with data scientists, analysts, and product teams to support business needs 
Automation & Monitoring
Automate workflows and monitor pipelines to ensure reliability and availability 


🛠️ Required Skills
Technical Skills
Programming: Python, SQL (mandatory), Java/Scala (optional) 
Databases: Relational (PostgreSQL, MySQL) + NoSQL (MongoDB, etc.) 
Data Tools: ETL tools/Informatica, Spark, Hadoop, Kafka 
Cloud Platforms: AWS, Azure, or GCP 
Data Modeling & Warehousing concepts
Soft Skills
Problem-solving and analytical thinking
Strong communication with cross-functional teams
Documentation and process orientation 

Key Skills

Education

Not specified