Data Engineer II

Saxon Global is one of the fastest growing Inc. 500 Companies in the US, providing enhanced IT consulting to top Notch Direct IT Clients.

Job Location:
Frisco TX USA 75034

Job Duration: 6+Month Contract

Interview Method:
Phone then In Person

Working Hours:
8AM TO 5PM

Position Summary:

Data Engineers work closely with business stakeholders and EITS team members to understand the business requirements that drive the analysis and design of quality data solutions. These solutions must be aligned with business and IT strategies and in compliance with the organization’s architectural standards.

• Design, code, test, implement and support data platforms and processes that are delivered on time and within budget.
• Participate in component and interface design, technology planning, product evaluation, advanced testing processes and buy vs. build recommendations.
• Provide input to project plans related to their responsibilities.
• Ensure data availability, integrity and compliance by performing data cleansing and data validations.
• Provide data that is congruent, synchronized and reliable, and facilitate user access to data in a semantically meaningful way.
• Analyze and develop logical and physical data models; data sourcing, transformation and aggregation logic; and semantic data access layers in support of corporate, customer and/or business partner business analytics requirements.
• Maintain data catalogues and metadata to facilitate self-service access by business users, other data engineers, data visualization specialists and data scientists.
• Perform root-cause analysis and recommend or execute corrective action when data related system problems occur.
• Understand the methodologies and technologies that manage the flow of data within and between technology systems and business functions/operations.
• Identify opportunities to reduce data redundancy, improve efficiencies and enhance business value, and monitor trends in data uses.
• Have a solid understanding of logical data warehousing design principles and data access requirements for business analytics and exploration.

• Conceptualize, design and develop data integration, transformation and analytics solutions that provide semantically meaningful information to consumers.
• Determine how to best source data for business analytics, considering current and future needs, infrastructure and security requirements, load frequencies, etc.
• Determine semantic data access requirements, design/develop data access layers and data transformation and aggregation logic.
• Maintain metadata, data catalogue and data lineage information.
• Collaborate with data engineers and analytics and subject matter experts to identify useful and strategically relevant insights.
• Work closely with business users, vendors and delivery teams to understand the business requirements that drive the analysis and design of business analytics and reporting solutions.

Working experience in data engineering and analytics, with knowledge of current and emerging data architecture products, services, platforms and processes.

All your information will be kept confidential according to EEO guidelines.