Support the migration of existing data pipelines and analytics workloads into Microsoft Fabric.
Support, define and build the data, analytics, and BI stack.
Define, build and support the analytics and BI reports.
Manage the building of the data platform for analytics and BI.
Automate all aspects of the data, analytics, and BI stack with DevOps.
Work with all departments on collecting their requirements for analytics and BI and implementing them accordingly.
Clearly document and communicate the outcomes of initiatives and make sure that the results.
Can be clearly understood by business stakeholders.
Inspire and promote the adoption of advanced analytics across the entirety of our organization and provide expertise for the broader applied analytics team.
Support sprint/work design and planning.

3+ years of hands-on experience in the Analytics ecosystem
Hands-on experience with AWS and Azure Cloud
Hands-on experience with Kubernetes and Docker and respective container storage repos
Hands-on experience with Terraform, Ansible, and other DevOps tools
Hands-on experience with Snowflake, Redshift, and/or other database engines
Hands-on experience with Microsoft Fabric, PowerBI, Qlik, or other big tools
Hands-on experience with Python, PySpark, SQL, DAX queries
Hands-on experience with Git, Version Control and CI/CD practices
Team player with a problem-solving attitude
Experience in delivering advanced analytical projects to large, complex organizations in a multi-functional environment
Able to challenge and review the quality and value generated from the analytical output
Focus on driving business value to support long-term relationships
Ability to support team members, ensuring the culture and strategy gets followed by new hires.

Data Engineer

Key skills