Data Engineer (Azure or AWS)

Data Engineer (Azure or AWS)

17 May 2024
Texas, Houston, 77001 Houston USA

Data Engineer (Azure or AWS)

Vacancy expired!

Data Engineer

Location: 100% Remote

Contract: 6+ months with extensions

Responsibilities:

  • Creating databases optimized for performance, implementing schema changes, and maintaining data architecture standards across BPX databases.
  • Designing and developing scalable ETL/ELT packages from the business source systems.
  • Enabling and running data migrations across different databases and different servers.
  • Responsible for performing thorough testing and validation to support the accuracy of data transformations and data verification.
  • Ensure proper data governance and quality across the Data Platform development areas.
  • Performs ad-hoc analyses of data stored in the databases and designs, develops and tests SQL scripts, stored procedures, functions, and views
  • Troubleshoots data issues within the business and across the business and presents solutions to these issues
  • Analyze complex data elements and systems, data flow, dependencies, and relationships to contribute to & define conceptual physical and logical data models
  • Be knowledgeable of industry trends and best practices, advising senior management on new and improved data engineering strategies.
  • Drive excellent, consistent customer service.
  • Ensure the proper management, maintenance and provisioning of all environments, databases and related technologies and solutions.

Job requirements
  • 5+ years of relevant work experience in IT/Data & Analytics and data engineering experience
  • Experience with Azure cloud preferred
  • Experience with Snowflake, nice to have.
  • Experience in any big data technologies - Snowflake, Azure Cosmos DB, Azure PaaS/MI, Azure Data Lake, Amazon Redshift, AWS DynamoDB, or advanced analytics tools
  • Experience with ETL/ELT tools such as Azure Data Factory
  • Experience with Stonebranch, a plus.
  • Experience designing and delivering large scale, 24-7, mission-critical data pipelines and features using modern big data architectures
  • Strong understanding of ETL/ELT processing with large data stores
  • Strong data modeling skills (relational, dimensional, and flattened)
  • Strong analytical and SQL skills, with attention to detail
  • Validated experience with 1 or more non-SQL languages like Python or JavaScript
  • Ability to work with multiple external teams and accomplish shared goals through the building consensus
  • Strong communication (written/verbal) and collaboration skills
  • Consulting, negotiation, and relationship skills
  • Problem solving skills
  • Enthusiastic, high-energy individual, self-motivated, people-oriented, and self-directed
  • Must be able to maintain focus on achieving results, whilst being patient and pragmatic
  • Desirable criteria & qualifications
  • Experience with the Azure and/or AWS cloud platforms
  • Desire to continually learn outside of a classroom environment, and successfully apply learnings
  • Demonstrated willingness to both teach others and learn new techniques


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 .

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