Job description

•    Mandatory Technology: DBT, SQL, Snowflake,data integration practices, and Tableau
•     Primary Skills: Expertise in transaction refunds and a comprehensive understanding of tax and VAT rule engines will be considered a significant advantage.
Shift Details: UK shift

Key Roles and Responsibilities:

•    Engineering, upgrading, and overseeing data flow systems to ensure efficient data migration into diverse storage systems.
•    Constructing and upholding solutions for data warehouses and data lakes.
•    Forging and implementing data structures that cater to a variety of business needs.
•    Scripting proficient and robust codes using languages such as SQL.
•    Spearheading data solution design with an emphasis on quality, automation, and performance.
•    Managing and enhancing data platform pipelines for reliability and scalability.
•    Guaranteeing that data is accessible in a condition and time frame that suits business and analytical needs.
•    Collaborating with the Data Governance team to ensure adherence to regulations like GDPR and CISO policies, and integrating data quality directly into conduits.
•    Engaging with interdisciplinary teams to comprehend data necessities and providing assistance for data-centric projects.
•    Engaging with stakeholders and clients, addressing their data needs with tailored solutions.
•    Visualization Techniques: Using Tableau, PowerBI, and Web Applications to create intuitive and insightful visual representations of data for effective communication.

Requirements:

•    Extensive experience leading transformations of cloud data platforms.
•    Demonstrated success in deploying large-scale data and analytical solutions in cloud environments. Hands-on proficiency in creating comprehensive data pipelines on DBT.
•    Deep understanding of contemporary data architectures (Data Lake, Warehouse, and Lakehouse).
•    Solid comprehension of data architecture and data modeling techniques.
•    Efficient management of data pipelines from a cost perspective.
•    Familiarity with CI/CD-driven data pipelines and infrastructure.
•    Agile delivery methodology using Scrum and Kanban frameworks.
•    Ability to independently scope, estimate, and deliver tasks on time within an agile framework.
•    Proactive in enhancing data processes.
•    Inherent drive to learn and adopt new skills and technologies.
•    Capability to excel in a rapidly evolving setting.
•    Proficiency in managing projects efficiently and addressing challenges collaboratively.
•    Driven by goals and a result-focused mindset.
•    Detail-oriented with thoroughness.
•    Strong communication skills, competent in presenting, informing, and guiding others.
•    Aptitude for bridging the gap between technical and business-focused groups.
•    Comfortable engaging with individuals at all organizational levels.