Description

You will support the development and maintenance of data infrastructure within a growing engineering team.

Responsibilities

• Design and implement data collection components to ingest various data sources into big data systems.
• Build and maintain ETL pipelines to ensure efficient data movement.
• Identify and execute improvements for data reliability, efficiency, and quality.
• Collaborate with cross-functional teams and stakeholders to define project scope, functional requirements, and timelines.
• Develop, integrate, deploy, and test Big Data tools and frameworks required for customer projects.

Required Skills

• 1-2 years of experience working with SQL and Python.
• Proficiency with ETL processes and data movement techniques.
• Experience with cloud technologies and data warehouses, specifically AWS and Snowflake.
• Working knowledge of git for version control.
• Foundational understanding of data modeling, algorithms, and data transformation techniques.
• Bachelor’s degree in Computer Science, Electrical Engineering, Applied Mathematics, or a related STEM field.

Preferred Skills

• Experience with Databricks, Azure, or Looker.
• Background in the financial services or FinTech sectors.
• Experience working in a startup environment.

Key Skills

Education

Any Graduate