At HTC Global Services our consultants have access to a comprehensive benefits package. Benefits can include Paid-Time-Off, Paid Holidays, 401K matching, Life and Accidental Death Insurance, Short & Long Term Disability Insurance, and a variety of other perks.

The Ideal Candidate:

The ideal candidate for this position has experience in Azure, data pipelines, data architecture and warehousing, and has dabbled in machine learning. They are a Data Engineer with a passion for data, and for making peoples lives easier. They enjoy both philosophical discussions and physical deployments and are comfortable working with multiple teams.

Principal Duties:

• As a Data Engineer, your responsibilities will include:
  • Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.
  • Designs efficient data structures and database schemas, as well as working with distributed system architecture and non-relational databases.
  • Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
  • Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
  • Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
  • Works closely with a team of engineers, product managers, and analysts.
  • Defines company data assets (data models), jobs to populate data models.
  • Designs data integrations and data quality framework.
  • Designs and evaluates open source and vendor tools for data lineage.
  • Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.
  • Other duties as assigned.

Requirements:

• Degree Candidate must possess a bachelor s degree from an accredited college in Computer Science, Information Technology, Business, or equivalent experience.
• Functional Experience Candidates must have 5 years of experience with BI reporting tools like Power BI or Tableau.
• Functional Experience Candidates must have 3 years of experience with large sets of regulated data, designing efficient data structures, and database schemas, as well as working with distributed systems architecture and CosmosDB.
• Functional Experience Candidates must have 3 years of experience with SQL and Python, with a focus on building reusable frameworks.
• Functional Experience Candidates must have 3 years experience with integration technologies and protocols such as SOAP, REST, JSON and APIs, with experience in handling streaming data.
• Functional Experience - Data Lake and/or Date Warehousing Experience with planning and implementing a data warehouse, data lake, or other data repositories is required.
• Functional Experience - Hands-on experience in Azure Data Factory, DataBricks, Azure Storage, SQL Pools, CI/CD Pipeline Design along with other Azure services like functions and Logic apps.
• Interpersonal Relationships Candidates must demonstrate the ability to work well with others of all personality types while demonstrating problem-solving and the ability to prioritize tasks.
• Communication Candidates must demonstrate the ability to communicate in verbal and written form with both technical and non-technical personnel.
• Initiative Candidates must demonstrate success as a self-starting, hardworking and inquisitive worker.
• Teamwork Candidates must demonstrate the ability to work with cross-functional teams to deliver on a common goal.
• Agile/Scrum - Candidates must demonstrate experience in an agile product environment to include deep understanding and experience with agile methodologies.
• Bonus skills:
  • Certifications: Azure Data Engineering, Azure DBA, Azure Developer or others related to the position
  • Domain Driven Design Understanding and experience with Domain Driven Design
  • Financial or Education Domains and their data standards Ed-Fi, CEDS, SIF, GAAP, etc.
  • Knowledge and Experience with Data Privacy, Data Governance, and Data Cataloguing principles.
  • Machine Learning Knowledge of best practices and experience with an LLM.