Data Engineer - 1010
Role details
Job location
Tech stack
Job description
The Data Engineer is responsible for building and maintaining systems that improve data reliability, quality, and accessibility. This role focuses on developing software and data pipelines that extract, transform, and load (ETL) large volumes of data from multiple sources into consistent, machine-readable formats. Data Engineers design and test architectures that support data extraction and transformation for predictive and prescriptive analytics. Working within an agile Scrum environment, the Data Engineer participates in two-week sprint cycles, contributing to sprint planning, development, and review processes to continuously improve data infrastructure and product capabilities., * Data Transformation: Collect, manage, and transform large-scale raw data from multiple sources into structured, reliable, and usable formats that meet business and analytical requirements.
- Data Tool Creation: Design, develop, and maintain data architectures, pipelines, and applications using appropriate tools and frameworks to support scalable data processing and product development.
- ETL Development: Build and maintain robust extract, transform, and load (ETL) processes that ensure data accuracy, efficiency, and availability across systems.
- Root Cause Analysis & Continuous Improvement: Perform root cause analysis to identify data issues, system inefficiencies, or process gaps, and implement improvements that enhance data quality and operational performance.
- Agile Collaboration: Work in an agile Scrum environment by contributing to sprint planning, development tasks, testing, and sprint reviews to deliver reliable and scalable data solutions
Requirements
Do you have experience in Statistics?, Do you have a Bachelor's degree?, * Bachelor's in Computer Science, Mathematics, Statistics, or related field (or equivalent experience)
- 2+ years in data engineering, data analysis, or similar roles