Staff Data Engineer

Job description

• Develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions
• Contribute to building generic frameworks for data ingestion, data processing, and data integrations
• Implements standard methodologies for software design, architecture, and implementation
• Implements monitoring tools/processes to ensure platform stability and operational SLAs Extends DevOps capabilities for deploying data solutions
• Acts as a data owner and functional data SME for the assigned area
• Bachelor's Degree or higher in Computer Science, Statistics, Business, Information Technology, or related field (Master's degree preferred) Minimum
• 2 years of experience in role delivering and supporting software and data engineering capabilities.
• Strong design and software programming development (preferably Python, Javascript and/or R)
• Strong experience with cloud services within Azure, AWS, or GCP platforms (preferably Azure) Experience building full stack data applications (experience with GraphQL is a plus) Experience with analytical tools (preferably SQL, dbt, Snowflake, BigQuery, Tableau) Hands-on experience with DevOps and CI/CD processes Project management experience and strong communication skills Self-Starter, driven with high business process competence Standout Colleague with a positive demeanor and ability to work across different business partner and technical teams to accomplish sophisticated tasks 2-3 years of working building enterprise data solutions
• Proven track record to develop and deploy frameworks that can be demonstrated across the data practice using services provided by major cloud platforms.

Proven experience creating data assets used in critically important applications Proven experience using DevOps practices in the data space (DevOps tools and ARM/Terraform templates). Expert in Agile methodologies (certifications preferred) Experience in leading and running cross functional teams.

Authority in the application of cloud technologies into a DataOps practice

• Strong leader, collaborator, teammate, and individual contributor
• Strong communication skills with comfort in speaking with business partners
• Strong problem solver with ability to run and lead the team to push the solution and drive progress