Face to Face Interview:::Title: Azure Data Engineer || Irving, TX (Need Local) || USC or GC Only…!!! || Please Reply.

Face to Face Interview:::Title: Azure Data Engineer || Irving, TX (Need Local) || USC or GC Only…!!!

 

Title: Azure Data Engineer

Location: Hybrid – Irving, TX (Need Local)

Duration: 6+Months

Interview: Face to Face

Domain: Healthcare Industry

USC or GC Only…!!!

 

Broadly speaking, they are in the healthcare industry and would benefit from a candidate that has a healthcare background, although that is not mandatory.

 

This will be someone with about 4-5 years of experience looking to expand on their Data Engineering role.

 

The primary requirements are SQL/NoSQL/PowerBI/AzureDataFactory.

Duties/Responsibilities:

  • Partner with data scientists to create data products that will serve analysis, ML and reporting needs intuitively.
  • Collaborate with database and application development team to capture requirements and determine data-driven solutions to support ongoing projects.
  • Coordinate with client services to automate client data ingestion and client deliverable workflows using Azure Data Factory.
  • Implement and maintain data ingestion, transformation, and loading processes using ETL/ELT tools and techniques.
  • Review/remediate any identified issues/cases in the system, including root cause analysis to determine if issues require development to address a systematic problem.
  • Work with the Data Architect to develop and maintain high-level enterprise data models and conceptual views of related data sub-architectures (e.g., database, data integration, data warehouse/business intelligence, reporting, metadata, and content management architectures).
  • Identify and implement service standards in conjunction with stakeholder-specific requirements (e.g., transaction processing speed, data mining, and reporting capabilities, data security, scalability, etc.).
  • Collaborative Leadership: Act as a trusted advisor to IT analytics and application teams and business partners, providing expert consultation and through communicating sophisticated data-driven insights.

Required Skills/Abilities/Attributes:

  • 5 years of experience in data engineering, procedure/function development, business system designs, and support.
  • 3 years of hands-on experience designing data management systems on Microsoft SQL Server.
  • 3 years of hands-on experience in ETL development using Data Factory.
  • Strong understanding of SQL and NoSQL technologies and query language
  • Hands-on experience developing and managing deployments using CI/CD industry standard practices.
  • Strong analytical skills and enjoyment solving complex technical problems.
  • Ability to manage and make decisions about competing priorities and resources.
  • Demonstrated exceptional oral, written, presentation, and interpersonal skills.
  • The ability to work both autonomously and with other team members in an appropriate collaboration amount to apply Data Management concepts to a variety of “real life” business scenarios.
  • Must possess strong organizational, facilitation, and critical thinking abilities, to assess complex problems, analyze options, navigate diverse perspectives and objectives, and develop acceptable Data Management solutions.

 

Preferred Skills/Experience:

  • Previous knowledge of building pipelines for ML models.
  • 1+ years of Azure Data Factory experience, with git repository and pipeline deployment.
  • Extensive experience with NoSQL datatypes in MS SQL Server (Json/XML). Creation, extraction and management of data in NoSQL formats.
  • Extensive experience creating/managing stored procedures and functions in MS SQL Server
  • 2+ years of experience in cloud architecture (Azure, AWS, etc)
  • Experience with ‘code management’ systems (Azure Devops)
  • 2+ years of reporting design and management (PowerBI Preferred)
  • Ability to influence others through the articulation of ideas, concepts, benefits, etc.

 

Education and Experience:

  • Bachelor’s degree in a computer science field or applicable business experience.
  • Minimum 4 years of experience in a Data Engineering role
  • Healthcare experience preferred.

 

Physical Requirements:

  • Prolonged periods sitting at a desk and working on a computer.
  • Ability to lift 20 lbs.
  • This position may require travel up to 10% of the time

 

 

 

Thanks and Regards,

Animesh Saurrabh | Team Lead | Voto Consulting LLC.

1549 Finnegan Lane, 2nd floor North Brunswick, NJ 08902

Phone: (201) 297 – 1298 | [email protected]

LinkedIn: https://www.linkedin.com/in/animesh-saurabh-612152142/

 

  http://www.votoconsulting.com

 

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