Senior Data Analytics Engineer 613

Key Skills

Aartificial intelligence, Ansible, AWS, Azure, Data Analytics, Data Engineering, Database, Design, DevOps, Docker, Effective communication skills, Kubernetes-K8s, Planning and organization, PySpark, Python Programming, SQL, Terraform

Job Description

As a Senior Data Analytics Engineer, you will be responsible for strengthening Protegrity’s data analytics and information reporting capabilities, using modern techniques and tools to ensure efficient scalability.

This position will work closely with the CFO and the overall business to drive continued advancements in the development and implementation of data analytics and broad company information reporting. The individual will solve complex problems with a focus on timely delivery and ownership of results. The role will require strong skills in the analytics ecosystem and creative problem-solving.

This individual contributor should also possess enthusiasm and entrepreneurial skills to be successful in a remote work environment.

Responsibilities:

• Support, define and build the data, analytics, and AI 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 AI stack with DevOps.
• Work with all departments on collecting their requirements for analytics and BI and implement 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.
• Guide junior team members as appropriate and support the development of tools, models, and documentation.
• Support sprint/work design and planning.

Qualifications:

• 6+ years of hands-on experience in the Analytics ecosystem including:
• 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.

Preferred Qualifications:

• Knowledge of Data Protection, Privacy and Security
• Degree in a relevant filed such as Computer Science, Information Technology

Why Choose Protegrity:

• We offer a highly competitive compensation and benefits package as well as the excitement, challenges, and rewards of a fast-growing, entrepreneurial company.
• Become a member of a leading Data Protection, Privacy and Security company during one of the best market opportunities to come along in a generation.
• Competitive Compensation/Total Reward Packages:
• 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

Working Model:

• This role is available as fully home-based and generally would require you to attend on-site meetings only occasionally based on business needs. In certain circumstances the work model may change to accommodate business needs.

We offer a competitive salary and comprehensive benefits with generous vacation and holiday time off. All employees are also provided access to ongoing learning & development.

Ensuring a diverse and inclusive workplace is our priority. We are committed to an environment of acceptance where you are free to bring your full self to work. All qualified applicants and current employees will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability or veteran status.