Data Warehouse Analyst Seniors: Cloud Engineering

FIS Global•Jacksonville, FL

About The Position

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.

Responsibilities

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.