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Mid LevelFull-timePythonRustAWSAzureKubernetesDockerTerraformMachine LearningData ScienceCI/CD
Salary Range
$76,500 - $103,500 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Data Engineer to join Protegrity and strengthen our data analytics and information reporting capabilities. This critical position will work closely with the business to drive advancements in data analytics and reporting.
Key Responsibilities
- →Support the migration of existing data pipelines and analytics workloads into Microsoft Fabric
- →Define, build and support the data, analytics, and BI stack
- →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 requirements for analytics and BI
- →Clearly document and communicate outcomes to business stakeholders
- →Promote the adoption of advanced analytics across the organization
- →Support sprint/work design and planning
Requirements
- ✓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
- ✓Hands-on experience with Terraform, Ansible, and other DevOps tools
- ✓Hands-on experience with Snowflake, Redshift, or other database engines
- ✓Hands-on experience with Microsoft Fabric, PowerBI, Qlik, or similar 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 delivering advanced analytical projects to complex organizations
- ✓BSc in a relevant field such as data science, operations research, mathematics, or related fields.
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