Description

Build and support analytic technologies within a large-scale data warehouse environment.

Responsibilities

• Design, implement, and support analytical infrastructure to provide ad-hoc access to large datasets and computing power.
• Interface with technology teams to extract, transform, and load data from diverse sources.
• Develop automation tools to reduce manual effort and improve operational excellence.
• Improve ongoing reporting and analysis processes by automating self-service support for customers.
• Participate in daily stand-ups, sprint planning, and on-call rotations.

Required Skills

• 3-6 years of related experience in data engineering.
• Proficiency in SQL and Python.
• Experience with AWS technologies including Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM roles/permissions.
• Strong development experience with BI reporting tools such as Tableau or QuickSight.
• Ability to partner with business owners to translate requirements into data patterns and anomaly detection.
• Experience working with large, complex datasets.
• Coding experience in Scala.

Key Skills

Education

Any graduate