Analytics Engineer

Recruiter for this role: Britney Dias Key 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,   S kills,   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   Person Specification Self-motivator with a desire to learn new skills and embrace   new technologies   in a constantly changing technology landscape   Ability to thrive in a   fast moving   environment   Ability to show initiative,   innovation   and work independently when   required   Ability to work at pace and tackle project challenges in a collegiate, collaborative way    Goal and outcome orientated   Thoroughness and attention to detail   Good communication   skills (ability to present, inform and guide others)   Ability to bridge communications between technical and business focussed groups   Comfortable working with people at all levels in an organisation   About us: Our story Collinson Group is a global leader in driving loyalty and engagement for many of the world’s largest companies.

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