Data Engineer specializing in Snowflake solutions at LUZA Group in Portugal. Responsible for designing data models and ensuring data quality across platforms.
About the role
- Data Architect for Texas Department of Motor Vehicles, performing complex data analysis and database architecture. Remote work eligible within Texas with some travel required.
Responsibilities
- Determines database requirements by analyzing business operations, applications, and programming; reviewing business objectives; and evaluating current systems.
- Obtains data model requirements, develops and implements data models for new projects, and maintains existing data models and data architectures.
- Develops physical databases meeting performance requirements.
- Develops strategies for database implementation.
- Develops data structures for data warehouses and data mart projects and initiatives; and supports data analytics and business intelligence systems.
- Implements corresponding database changes to support new and modified applications, and ensures new designs conform to data standards and guidelines; are consistent, normalized, and perform as required; and are secure from unauthorized access or update.
- Defines and implements processes for extracting and loading data; identifies appropriate data sourcing and extraction processes, and in identifying and nominating sources as systems of record for data usage in various applications.
- Provides guidelines on creating data models and various standards relating to governed data.
- Reviews changes to technical and business metadata, realizing their impacts on enterprise applications, and ensures the impacts are communicated to appropriate parties.
- Configures and establishes data catalog to inventory, classify, and map data throughout the enterprise.
- Establishes measures to chart progress related to the completeness and quality of metadata for enterprise information; to support reduction of data redundancy and fragmentation and elimination of unnecessary movement of data; and to improve data quality.
- Assists in selecting data management tools and developing the standards, usage guidelines, and procedures for using those tools.
- Assists in performing root cause analyses related to information issues and non-conformance to published data standards based on review of technical metadata of various source systems.
- May supervise the work of others.
- May travel up to 5% of the time. Involves overnight travel. Travels by plane and/or car. May require working extended hours and some evenings and weekends, as needed.
Requirements
- Graduation from an accredited four-year college or university with a degree in data science, data management, computer information systems, management information systems, computer science, cybersecurity or information security, or in a field related to assignment.
- Five (5) years’ experience in enterprise data architecture and/or information architecture work, two (2) years of which were in a lead or supervisory capacity.
- Five (5) years of experience in relational modeling and design (OLTP and OLAP).
- Five (5) years of experience with full life cycle architecture, development, implementation, and management of operational databases and enterprise data warehouses.
- Five (5) years of experience leading stakeholder engagements on the gathering, documentation & detailed analysis of business requirements.
- Three (3) years of experience with DB2, SQL Server, and stored procedure development.
- Three (3) years of experience building data pipelines and ETL solutions.
- Three (3) years of experience with data engineering for business intelligence and business analytics.
- Three (3) years of experience with ETL tools (Informatica PowerCenter, Informatica Cloud ETL, Azure Data Factory).
Benefits
- Retirement Plan
- Paid Group Health & Life Insurance for employees
- Paid Holidays
- Paid Vacation Leave
- Paid Sick Leave
- Longevity Pay
- Dental
- Vision
- Dependent Optional Life Insurance
- Voluntary AD&D Insurance
- Dependent Health & Life Insurance
- Health & Dependent care flexible spending accounts
- Tuition Assistance Program
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Associate Manager, D&T, Data Engineering responsible for building data pipelines on Databricks using PySpark and Structured Streaming. Collaborating with Data Scientists to enhance data quality and model deployment.
Senior PDM Data Architect at Ford focusing on 3D model creation for digital marketing. Responsible for managing complex CAD data and collaboration with creative studios.
Specialist PDM Data Architect managing the creation and maintenance of 3D models for digital marketing at Ford. Bridging technical gaps between Engineering and Marketing for digital asset accuracy.
Senior Consultant in SAP Data Migration at Scheer Group advising clients on data migration strategies. Leading migration projects and developing innovative migration solutions in a collaborative environment.
Junior/Medior SAP/SAC Data Engineer at BAM working on SAP data transformation for analytics and reporting. Collaborating within a DevOps team to optimize data pipelines and reporting structures.
Data Engineer working remotely with cross - functional teams to solve data challenges through coding. Analyzing large datasets and ensuring collaboration for effective implementation of insights.
Data Engineer at Capital One focusing on innovative technology solutions and mentoring talent. Collaborating on enterprise - wide initiatives and implementing cutting - edge practices.
Azure Data Engineer designing and implementing robust data solutions leveraging Microsoft Azure technologies. Collaborating with stakeholders to create efficient data pipelines and ensure data integrity.
Global Brand Finance Data Engineer at Wella Company managing Power BI automation and financial data processes. Collaborating with Finance, IT, and Supply Chain for integrated financial reporting.