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Azure Data Modeler

Company: Apex Systems
Location: Houston
Posted on: February 24, 2021

Job Description:

Thank you for your interests! If you could please forward your resume to with the job # Location: Houston, Texas - remote to start Duration: Contract Azure Data Modeler/Engineer Role Context:

  • Data Engineers develop and maintain data infrastructure and write, deploy and maintain software to build, integrate, manage, maintain, and quality-assure data. Data Engineers collaborate with their business stakeholders, Data Managers, Data Scientists, Software Engineers and Architects.
  • Data Engineers will be responsible for distributed systems architecture design, data warehousing, executing on GDPR and other privacy requirements from digital security and need to have business context and knowledge about the data domains they are working with.
  • Data Engineers will own the end-to-end technical data lifecycle and corresponding data technology stack for their data domain and to have a deep understanding of the technology stack. Key skills and experiences:
    • Data Manipulation: develop / actively contribute to, debug and maintain software across the entire data lifecycle (from ingestion to deprecation), augment the data tech stack in your immediate scope and integrate these with existing data systems.
    • Understand the end-to-end lifecycle of the data and the data tech stack deployed across your business entity / enabler area. Enhance understanding of the business entity's / enabler area's key data technologies / and research alternatives to platform offerings. Influence your team's technical decisions.
    • Software Engineering: Proficient in at least one object-oriented programming language. Advanced SQL skills. Understand how to use the standard tools to efficiently produce software at scale. Write clean, re-usable code and commit code in manageable chunks. Write efficient and optimized algorithms. Code written has extensive test, automated monitoring and alerting coverage. Proactively find and address bugs, technical debt and inefficient practices / tools. Demonstrate the ability to debug and solve complex issues by translating business problems into technical solutions. Understand the immediate codebase, as well as its surrounding systems. The software solutions delivered perform as described, minimizing the number of unexpected failures or changes required. In-depth knowledge of and apply software engineering best practices and processes, e.g. Continuous Integration and Continuous Deployment practices, Kubernetes, AzureDevOps or similar.
    • Scalability, Reliability, Maintenance: Ensure existing tools / code bases are re-used where possible/logical. Advocate for tech debt removal in addition to building new features. Identify areas of improvement and lead through execution (e.g. writing small scripts and sharing them with the team, adding documentation to existing services, improving service health). Approach problems with a mindset that prioritize automation and long-term productivity over short-term speed, and execute on those opportunities to improve products or services. Design systems and products to be future-facing and engage with the team to ensure your work can be extended.
    • Data Domain Knowledge: Deep understanding in at least one data domain area within the business entity and awareness of related domains. Requirements/Expectations:
      • Hands on experience with the Azure Data platform -leading the solutions in Azure. Experience specifically building data solutions on top of the Azure platform
      • Data Management / Governance experience in Azure (or other cloud platforms)
      • BIG NEED - Building Common Data Models within Azure
      • In depth knowledge and experience in Azure Datalake
      • Equipped with Data Schema Design or Data Analytics skill sets and familiar with the technology or tool, like ER Studio in such domain
      • Experienced in implementing data management solutions for trading or large organizations
      • Familiar with or experienced in the Agile delivery methodology (Scrum teams, building user stories in Azure DevOps) Nice to have (not required):
        • Experienced in and Familiar with the commodity trading businesses in Oil, Natural Gas, Power, LNG, or NGL products, from front to back office transactions and the related data elements
        • Well-versed in commodity trading ETRM systems, including OpenLink Endur, Right Angle, or others EEO Employer Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or - provided by Dice

Keywords: Apex Systems, Houston , Azure Data Modeler, Other , Houston, Texas

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