Senior Data Analytics Engineer 613

August 22

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Protegrity

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Protecting Data. Protecting Brands.

Data Security • PCI DSS • Enterprise Data Security • File Security • Encryption

201 - 500

Description

• Strengthening data analytics and information reporting capabilities • Solving complex problems with a focus on timely delivery and ownership of results • Supporting sprint/work design and planning

Requirements

• 6+ years of hands-on experience in the Analytics ecosystem • Advanced knowledge of Python, PySpark, SQL • Hands-on experience with AWS or 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 Databricks, Redshift, and/or other database engines • Hands-on experience with Microsoft Fabric, PowerBI, Qlik, or other big tools • 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.

Benefits

• Highly competitive compensation and benefits package • Paid Time Off (PTO) & Flexible Fridays with approval • Work on global projects with diverse, energetic, team members who respect each other and celebrate differences. • Remote workforce