Description

You will design and build scalable data solutions within a large-scale warehouse environment, owning projects from requirements to delivery.

This role is on-site.

Responsibilities

• Design and implement complex data models to support research and simulations.
• Build and maintain ETL pipelines for structured data access.
• Collaborate with business stakeholders to translate requirements into analytical solutions.
• Deliver end-to-end data projects independently.
• Manage full project lifecycles from design to deployment.

Required Skills

• 3+ years of data engineering experience.
• Strong proficiency in SQL.
• Experience with data modeling, warehousing, and ETL construction.
• Proficiency in at least one programming language: Python, Java, Scala, or NodeJS.
• Bachelor's degree in Computer Science.
• Proven ability to manage end-to-end project lifecycles.

Preferred Skills

• Experience with AWS technologies including Redshift, S3, Glue, EMR, Kinesis, Firehose, Lambda, and IAM.
• Experience with Apache Spark, EMR, Airflow, or AWS Step Functions.
• Knowledge of non-relational databases, object storage, or graph databases.

Key Skills

Education

Bachelor's degree in Computer Science