Apply on Employer Site

Wisdom Infotech · 5 hours ago

Senior Data Engineer

Tampa, FL

Full-time

Onsite

Senior Level

5+ years exp

Wisdom Infotech is seeking a Senior Data Engineer to play a critical role within their Information Technology organization. The role focuses on building and optimizing data pipelines and platforms that support enterprise analytics and decision-making, while ensuring data availability, quality, and accessibility across business domains.

Information TechnologySoftware

No H1B

Hiring Manager

Sathyan Subash

Responsibilities

Guidewire Data Warehouse Management: Continue to support and enhance the Guidewire Enterprise Data Warehouse, ensuring data availability, accuracy, and efficiency in ETL operations

Data Platform Implementation: Architect, design, and implement a scalable, on-prem or cloud-based enterprise data platform, integrating diverse data sources beyond Guidewire Insurance Suite

Data Integration & Engineering: Develop and oversee ETL/ELT pipelines to ingest, transform, and store data efficiently, leveraging modern tools

Data Modeling & Architecture: Design and implement optimized data models for structured and unstructured data, supporting reporting, analytics, and AI/ML initiatives

Data Governance & Security: Establish best practices for data governance, data quality, metadata management, and security compliance across all data assets

Advanced Analytics Support: Enable self-service analytics, real-time data processing, and AI/ML-driven insights by integrating modern data technologies such as data lakes, streaming data, Graph and NoSQL databases

Collaboration & Leadership: Act as a strategic partner to IT, business units, and analytics teams, aligning data initiatives with organizational goals. Mentor junior team members and foster a culture of data-driven decision-making

Monitor the task queue, take, and update tickets as directed by your supervisor

Successfully engage in multiple initiatives simultaneously

Contributes to the development of project plans and may assign and monitor tasks

Assist in the development and generation of new reports to be provided to senior management across functional departments

Performs other duties as required

Qualification

Data ArchitectureETL/ELT ToolsCloud Data PlatformsData GovernanceGuidewire InsuranceSuiteBig Data ProcessingData ModelingMachine LearningMicrosoft OfficeCollaborationOrganizational SkillsCommunication Skills

Required

Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or a related field

5+ years of experience in data architecture, engineering, or related roles, preferably within the insurance industry

Ability to analyze and learn new complex data sources models and integrate them into the data platform's pipelines

Experience implementing cloud-based data platforms in Azure and familiarity with data lakehouse architectures

Proficiency in modern ETL/ELT tools (e.g., MS SSIS and Azure Data Factory) and database technologies (SQL, Databricks, etc.)

Hands-on experience with big data processing, streaming technologies (Kafka, Spark, Flink), and API-driven data integration

Strong understanding of data security, compliance, and governance best practices (GDPR, CCPA, SOC2, etc.)

Must be resourceful, industrious, and willing to take on new tasks and proactively learn new technologies to keep up with business needs

Must be able to work under tight deadlines efficiently and with high quality

Must possess strong organizational skills with demonstrated attention to detail

Must be flexible and able to adapt in a changing business environment

Must possess a positive attitude and strong work ethic

Excellent verbal and written communication skills and the ability to interact professionally with a diverse group (executives, managers, and subject matter experts)

Must be proficient in Microsoft Office (Excel, Word, Power Point)