Data Engineer_Dbt | Permanent Wfh/ Remote

Job Description: Data EngineerLocation: RemoteExperience: 5+ yearsDurations: 6 months (Extendable)Mandatory Technology:DBT, SQL, Snowflake, Stakeholder management and requirements refinementPrimary Skills:AWS, Terraform, APIs, Data Warehouse, Data LakehouseShift Details: UK shiftRoles 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 timeframe 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.Required Skills and Experience: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.