Data Warehouse Analyst Seniors: Cloud Engineering

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Job Description

FIS Management Services, LLC seeks Data Warehouse Analyst Seniors: Cloud Engineering in Jacksonville, FL to architect, develop, and sustain comprehensive data warehouse systems and their corresponding data marts using cloud-based solutions. Engineer and implement advanced data extraction, transformation, and loading (ETL) processes in a cloud-agnostic platform. Conduct thorough analysis and translation of business requirements into sophisticated, long-term data models. Oversee and ensure the optimal performance and reliability of cloud-based data warehouse operations. Collaborate extensively with data architects, reporting teams, and various business units to ensure alignment of data solutions with organizational objectives. Rigorously test cloud data warehouse systems and perform necessary upgrades to maintain system efficacy. Generate detailed data reports, visualizations, and dashboards to support business decision-making. Enhance data reliability, efficiency, and quality through continuous process improvements and robust data governance practices in the cloud. Design and implement robust database solutions and models to meet organizational needs. Evaluate database implementation procedures to ensure adherence to internal and external regulatory standards. Prepare comprehensive database design and architecture reports for management and executive review. Ensure the accuracy and integrity of data loaded into the cloud data warehouse. Assist in the development, maintenance, troubleshooting and support of the enterprise's cloud data warehouse system and related data marts. Innovate and develop new or enhanced components for the data warehouse system. Develop and enforce data security policies and procedures to ensure compliance with regulatory requirements. Implement and maintain security measures to protect data warehouse systems from unauthorized access and breaches. Ensure data encryption and secure data transmission methods are in place to protect sensitive information in the cloud. Manage the distribution of data across various cloud platforms and systems to ensure efficient data flow and accessibility. Develop and implement strategies for data distribution in the cloud to optimize performance and minimize latency.

REQUIREMENTS: Bachelor's degree or foreign equivalent in Computer Science, Computer Engineering or related field and seven (7) years of progressively responsible experience in the job offered or a related occupation: utilizing Databricks for data engineering, analytics, and machine learning tasks, including

proficiency in setting up and managing Unity Catalog for data discovery, classification, and lineage tracking; working with Python scripting skills with libraries including PySpark, Pandas, NumPy, and Scikit-learn for data manipulation and analysis; leveraging BigID for compliance with regulations (GDPR, PII, PCI) and implementing data governance frameworks; managing and supporting API platform infrastructure both on-premises and in the cloud, including installation, configuration, upgrades, troubleshooting issues, and API script development for pipeline support on Azure APIM and WSO2 platforms; identifying, analyzing, and mitigating security vulnerabilities in data products using CheckMarx and Blackduck; working with CI/CD tools including Jenkins for automation, Git/Bitbucket for version control, and Harness for continuous delivery; utilizing containerization Docker/AKS/EKS technologies for creating, deploying, and managing containers; and working with Azure cloud services including Azure Storage, Azure Data Factory, Data Lake Storage, Azure Logic Apps, Azure Functions, Web Apps, Key Vaults, and Azure Containers. Telecommuting and/or working from home may be permissible pursuant to company policies.

QUALIFIED APPLICANTS: Please apply directly through our website by clicking on "Apply Now."

Privacy Statement

FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.

EEOC Statement

FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here

For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.

Sourcing Model

Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.

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