Data Engineer

Job Description

This role is hybrid. Required 2 days/wk onsite.

Responsible for building and supporting a GCP based ecosystem designed for enterprise-wide analysis of structured, semi-structured, and unstructured data.

Support regular requests to move data from one cluster to another.

Manage production support teams to make sure service levels are maintained and any interruption is resolved in a timely fashion.

Analyze requirements, design AI/ML based solutions, and integrate those solutions for customer environments.

Closely collaborates with team members to successfully execute development initiatives using Agile practices and principles.

Leads efforts to design, development, deploy, and support software systems.

Collaborates with business analysts, project lead, management and customers on requirements.

Participates in the deployment, change, configuration, management, administration and maintenance of deployment process and systems.

Gather requirements, designs, constructs and delivers solutions with minimal team interaction.

Bring new data sources into GCP/HDFS, transform and load to databases.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

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• 5 years of data engineer experience
• Python development
• SQL Development
• Cloud experience - Azure preferred Microsoft Synapse experience
• Dagster experience