Principal Data Analytics Engineer in Stori

The Role:

As a Principal Data Analytics Engineer at Stori, you will leverage your analytics and engineering skills and cutting-edge big data technology to innovate, design, build, and maintain well-managed data products to solve complex business problems. This role will lead the development of high-quality, monitored, and documented data products that will enable advanced analytics used for the decision-making of several business analysts and business leaders.

Main responsibilities:

• I led and mentored a squad of junior and senior data Analytics Engineers responsible for designing, developing, and maintaining data products to unlock business analytics capabilities.
• Interact with business analysts and other stakeholders to gather new data on product requirements, break them down into concrete deliverables, estimate development efforts, and prioritize other initiatives based on their impact.
• Track the progress of planned initiatives, identifying, solving, and communicating risks and blockers that could impact delivery due dates.
• Identify, estimate, and prioritize technical initiatives that help improve the maintainability, stability, and quality of the data products.
• Develop critical features and implement engineering best practices throughout the data product lifecycle to improve the deliverables' quality.
• Interact with other technical teams, such as Data Infrastructure, Data Governance, DevOps, and Security, to adhere to their solutions and policies regarding the data products and suggest improvements.
• Hire and retain new talent in the team.

What we are looking for:

• Bachelor's degree in Computer Science, Software Engineering, or equivalent work experience
• 5+ years of experience working as a Data Analytics Engineer or Data Engineer building highly scalable data products
• Proven experience using SQL and Python
• Experience with data processing technologies (i.e., DBT, Spark, Pandas), orchestration solutions (ie, Airflow, Prefect), and reporting tools (i.e., Quicksight, Looker)
• Experience working with Cloud Providers, ideally AWS.
• Experience leading small teams (1 to 3 people) of Data Engineers and/or Data Analytics Engineers
• Strong planning and organizational skills
• Advanced written and spoken communication skills in English
• Experience in the financial sector is desirable but not required

• Make a positive impact on the lives of our customers via financial inclusion
• Professional development opportunities
• International exposure & work experience
• Company swag
• Legally required benefits