Data Engineer
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Requirements
• 3+ years of hands-on experience in the Analytics ecosystem including: • 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. • BSc in a relevant field such as data science, operations research, mathematics, science, data mining, artificial intelligence, applied statistics, machine learning. • Should you accept this position, you must consent to and pass a Background Investigation, which includes (subject to country law), extended education, and additional criminal and civil checks. • 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. • Please reference Section 12: Supplemental Notice for Job Applicants in our Privacy Policy to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Protegrity USA, Inc., or its parent company, subsidiaries or affiliates, and the purposes for which we use such personal information.
Responsibilities
• 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.
Benefits
• Please list a numerical range. If you answer 0 or TBD or 1 your application will be automatically archived. We do this as a measure to be sure you fit into the range we have for this role and not waste your time. • Please list your availability after acceptance of offer. • Immediate availability • Available within 1 month • Available within 2 months • Available within 3 months • What attracted you to this role and our company, and how do you see your personal values aligning with our culture • What color is the sky • Do you have a min of 3+ years experience in Define, build and support the analytics and BI stack?