We are seeking a Data Engineering professional to work closely with Architects in designing and building high-quality data pipelines that support research operations public web applications and analytical/reporting solutions.
This role is responsible for designing developing and optimizing scalable data architectures in Azure ensuring efficiency data quality security and best practices across the data platform. The Data Engineer will act as a technical Subject Matter Expert (SME) collaborating with product analytics and business teams to translate requirements into robust data architecture and pipeline solutions.
The position also involves driving improvements in data infrastructure including CI/CD implementation monitoring cost optimization failover strategies analytical modeling data warehousing and process automation.
Schedule: Monday to Friday 7:00 AM 4:00 PM MST.
Requisitos
Requirements
Education
Bachelors degree in Computer Science Information Systems IT or equivalent experience.
Experience
3 years of experience in Data Engineering or data platform development roles.
Proven experience delivering production-grade data solutions.
Technical Skills
Strong expertise in Azure Data Factory (required).
Experience with SQL Server and PostgreSQL.
Hands-on experience building ETL/ELT pipelines.
Solid understanding of data warehousing and dimensional modeling.
Experience with modern data architectures (e.g. medallion architecture).
Cloud services experience (Azure preferred).
Proficiency in Python and/or Scala.
Database performance optimization.
Implementation of data quality lineage and observability frameworks.
Experience with CI/CD and monitoring for data platforms.
Required Skills:
Education Bachelors degree in Computer Science Information Systems IT or equivalent experience. Experience 3 years of experience in Data Engineering or data platform development roles. Proven experience delivering production-grade data solutions. Technical Skills Strong expertise in Azure Data Factory (required). Experience with SQL Server and PostgreSQL. Hands-on experience building ETL/ELT pipelines. Solid understanding of data warehousing and dimensional modeling. Experience with modern data architectures (e.g. medallion architecture). Cloud services experience (Azure preferred). Proficiency in Python and/or Scala. Database performance optimization. Implementation of data quality lineage and observability frameworks. Experience with CI/CD and monitoring for data platforms.
We are seeking a Data Engineering professional to work closely with Architects in designing and building high-quality data pipelines that support research operations public web applications and analytical/reporting solutions. This role is responsible for designing developing and optimizing scalable ...
We are seeking a Data Engineering professional to work closely with Architects in designing and building high-quality data pipelines that support research operations public web applications and analytical/reporting solutions.
This role is responsible for designing developing and optimizing scalable data architectures in Azure ensuring efficiency data quality security and best practices across the data platform. The Data Engineer will act as a technical Subject Matter Expert (SME) collaborating with product analytics and business teams to translate requirements into robust data architecture and pipeline solutions.
The position also involves driving improvements in data infrastructure including CI/CD implementation monitoring cost optimization failover strategies analytical modeling data warehousing and process automation.
Schedule: Monday to Friday 7:00 AM 4:00 PM MST.
Requisitos
Requirements
Education
Bachelors degree in Computer Science Information Systems IT or equivalent experience.
Experience
3 years of experience in Data Engineering or data platform development roles.
Proven experience delivering production-grade data solutions.
Technical Skills
Strong expertise in Azure Data Factory (required).
Experience with SQL Server and PostgreSQL.
Hands-on experience building ETL/ELT pipelines.
Solid understanding of data warehousing and dimensional modeling.
Experience with modern data architectures (e.g. medallion architecture).
Cloud services experience (Azure preferred).
Proficiency in Python and/or Scala.
Database performance optimization.
Implementation of data quality lineage and observability frameworks.
Experience with CI/CD and monitoring for data platforms.
Required Skills:
Education Bachelors degree in Computer Science Information Systems IT or equivalent experience. Experience 3 years of experience in Data Engineering or data platform development roles. Proven experience delivering production-grade data solutions. Technical Skills Strong expertise in Azure Data Factory (required). Experience with SQL Server and PostgreSQL. Hands-on experience building ETL/ELT pipelines. Solid understanding of data warehousing and dimensional modeling. Experience with modern data architectures (e.g. medallion architecture). Cloud services experience (Azure preferred). Proficiency in Python and/or Scala. Database performance optimization. Implementation of data quality lineage and observability frameworks. Experience with CI/CD and monitoring for data platforms.
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Job Location:
Monthly Salary:
Not Disclosed
Posted on:
12 hours ago
Vacancies:
1 Vacancy
