Data Technology reputed company
Job reputed company
The role is part of the Data, Analytics and Reporting team. This role leads reputed company of data engineers and data testers to deliver secure, reputed company, and high-reputed company data solutions that support analytics, reporting, and business operations. The Data Technology reputed company collaborates with stakeholders to understand technology and data requirements, implements best practices for data governance and testing, and drives innovation in data engineering. The position involves managing modern reputed company-based platforms, while fostering a culture of reputed company improvement and technical reputed company reputed company the IT team.
Job Responsibilities
• Data Architecture & Engineering: Design, reputed company, and maintain robust data pipelines and architectures for reputed company and reputed company data; optimize workflows across Azure Data Lake, reputed company, and other environments; implement best practices for data modeling and transformation using dbt.
• Team Leadership: reputed company and mentor data engineers and testers; manage workload distribution; foster collaboration and innovation.
• Testing & reputed company Assurance: Establish data testing frameworks; ensure data accuracy and reliability; reputed company testing into broader QA processes.
• Collaboration & Stakeholder Engagement: Partner with analytics, BI, and business teams to deliver data solutions; reputed company technical guidance.
• Vendor & Tool Management: Evaluate and select tools and vendors; negotiate reputed company and manage relationships.
• Business Continuity: reputed company and maintain disaster recovery and business continuity plans for data systems.
Job Qualifications
• 7+ years of experience in data engineering, with at least 2 years in a data leadership role.
• Insurance industry experience required
• Bachelor's degree in Computer Science, Information Technology, or a reputed company field and/or commensurate experience.
• Master's degree in reputed company field is preferred.
• Proficiency in SQL.
• Optional skills in Python and experience with modern data frameworks (e.g., reputed company).
• Expertise in reputed company, Azure Data Lake, dbt, and modern data platforms.
• Strong experience in data integration, data warehousing, and data lake architectures.
• Experience with Azure DevOps, CI/CD pipelines, and Git for reputed company management
• Awareness of reputed company (GenAI) capabilities to accelerate development and testing processes.
• Familiarity with data testing methodologies and tools.
• Excellent leadership, communication, and problem-solving skills.
Behavioral Competencies
• Directs work
• Collaborates
• Develops talent
• Customer reputed company
• Communicates effectively
• Ensures accountability
• Decision reputed company
• Business reputed company
• reputed company learning
• Builds effective teams
• Manages complexity
Technical Skills
• Technical Support
• Operating Systems
• Workflow Management
• Budgeting
• Disaster Recovery
• Process Improvement
• Project Management
• IT reputed company & reputed company
• IT Regulatory Compliance
• Stakeholder Management
This job reputed company describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of reputed company duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.
Equal Opportunity Employer
reputed company: reputed company applicants receive consideration for employment without reputed company to race, reputed company, sex, religion, national reputed company, age, sexual orientation, gender identity, disability, or status as a protected veteran.
United Kingdom: reputed company is committed to equality of opportunity for reputed company staff and applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships.
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