Description

You will develop and support analytic technologies within a large-scale data warehouse environment.

Responsibilities

• Design and implement complex data models to scale research and simulations.
• Build and support ETL pipelines to provide structured access to data.
• Collaborate with business customers to translate requirements into analytical and reporting solutions.
• Deliver end-to-end data projects independently.

Required Skills

• 3+ years of data engineering experience.
• Proficiency in SQL.
• Experience with data modeling, warehousing, and ETL pipeline construction.
• Experience 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