Developer Data Engineering

Overview

Design, build and support data pipelines, ETL processes and data visualization solutions for analytics, while contributing to data architecture and data streaming initiatives.

What you'll do

• Design, implement, and optimize data pipelines with a strong focus on SQL and scripting.
• Develop and maintain ETL processes and contribute to data warehousing solutions, including understanding star schema and Kimball or Snowflake methodologies.
• Write and optimize SQL and calculations within data visualization tools to enhance data models and performance.
• Enforce data governance policies and ensure compliance with data security standards.
• Build, deploy, and support data visualization solutions that effectively communicate data insights.
• Collaborate with stakeholders to understand their requirements and deliver intuitive, visually appealing dashboards.
• Participate in cloud cost optimization efforts, ensuring efficient use of cloud resources.
• Contribute to the development of data architecture and support data streaming initiatives.
• Implement basic data pipeline orchestration and assist in integrating big data technologies.
• Communicate and collaborate with key internal stakeholders to align data solutions with business needs.
• Perform other assigned job-related duties that align with our organization's vision, mission, and values and fall within your scope of practice.

What you'll need

• Bachelor's Degree or relevant experience.
• 1+ years relevant or practical experience.
• Proficiency in SQL and basic ETL tools.
• Understanding of data warehousing concepts and basic data architecture.
• Familiarity with data pipeline orchestration and monitoring.
• Initial exposure to big data technologies like Hadoop or Apache Spark.

Nice to have

• Any relevant IT Certification.

Details

• Relocation assistance: not eligible.
• The successful candidate must be willing and able to perform the physical requirements of the job with or without a reasonable accommodation.