Analytics Engineer

Job Summary

Recruiter for this role: Britney Dias.

Responsibilities

• Design, develop, and maintain low-code enabled data pipelines for collecting, transforming, and loading data into various data stores and build insightful reports.
• Build and maintain data warehousing and data lake solutions that support quick and efficient reporting and insights.
• Develop and deploy data models that cater to various business requirements and enable efficient data analysis.
• Lead the design of data solutions with a focus on automation, performance, and quick report generation.
• Ensure data is readily available for business and analytics consumption and monitor the quality of the data.
• Collaborate with cross-functional teams and stakeholders to understand data requirements and drive data-driven initiatives.
• Prototype and adopt new approaches to drive innovation into the solutions and ensure they are aligned with industry trends and advancements.
• Develop and implement the data roadmap for strategic data sets and communicate progress to both technical and non-technical stakeholders.
• Communicate complex data solutions in a clear and understandable manner to both experts and non-experts.
• Interact with stakeholders and clients to understand their data requirements and provide low-code enabled solutions.
• Stay up-to-date with industry trends and technology advancements in data engineering and analytics.
• Champion the importance of modern data solutions across the business and promote the value of obtaining good quality data.

Knowledge, Skills, and Experience required

• Extensive experience leading AWS and cloud data platform transformations
• Proven track record of delivering large-scale data and analytical solutions in a cloud environment
• Hands-on experience in end-to-end data pipeline implementation using AWS services, including data preparation, extraction, transformation & loading, normalization, aggregation, warehousing, data lakes, and data governance
• Expertise in developing data warehouses and in-depth understanding of modern data architecture such as Data Lake, Data Warehouse, Lakehouse, and Data Mesh
• Strong knowledge of data architecture and data modelling practices, with the ability to cost-effectively manage data pipelines
• Familiarity with CI/CD-driven data pipeline and infrastructure, with an Agile delivery approach using Scrum and Kanban methodologies
• Ability to scope, estimate, and deliver committed work within deadlines, both independently and as part of an Agile team
• Support for QA and user acceptance testing processes, with innovative problem-solving skills and the ability to provide clear recommendations
• Understanding of the impact of changes to business rules on data processes
• Excellent communication and influencing skills, especially in regard to data solutions and outcomes
• Experience managing and leading a small team of data engineers
• Self-driven and constantly seeking opportunities to improve data processes
• Strong knowledge of how data drives analytical and reporting activities, including automated marketing and personalization capabilities

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.