Senior Data Engineer - Microsoft Fabric

Perficient

Colombia

Presencial

COP 90.000.000 - 150.000.000

Jornada completa

14 días+

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Descripción de la vacante

Perficient is hiring a Data Engineer in Colombia to design, build, and maintain end-to-end data pipelines across ingestion, transformation, and analytics layers. You will develop workflows using Microsoft Fabric and Azure Synapse Analytics, implementing ELT pipelines and lakehouse architectures with Delta tables for scalable analytics.

You will optimize semantic models for Power BI, ensure data quality and governance, and collaborate with cross-functional teams to translate requirements into

Formación

  • BS in Computer Science, Engineering, or related technical field or equivalent practical experience.
  • 5+ years of experience in Data Engineering or similar roles.
  • Strong hands-on experience with Microsoft Fabric and Azure Synapse Analytics.
  • Experience designing and implementing data pipelines and ELT frameworks.
  • Strong proficiency in SQL and Python for data processing.
  • Experience with Spark / PySpark or distributed data processing is a plus.
  • Strong understanding of modern data architectures (lakehouse, data platform design).
  • Experience with data modeling and semantic layers.
  • Familiarity with the Azure ecosystem (ADF, Synapse, Data Lake) is highly preferred.
  • Experience with version control (Git) and CI/CD practices.
  • Strong communication skills and ability to work with cross-functional teams.
  • Advanced English (written and spoken).
  • Analytical mindset, proactive attitude, and ability to work in fast-paced environments.

Responsabilidades

  • Design, build, and maintain end-to-end data pipelines across ingestion, transformation, and analytics layers.
  • Develop and optimize data workflows using Microsoft Fabric (Data Factory, Lakehouse, Data Warehouse) and Azure Synapse Analytics.
  • Implement ELT pipelines using Fabric pipelines, Synapse pipelines, and notebooks, integrating multiple data sources.
  • Design and implement lakehouse architectures using Delta tables and medallion approach (Bronze/Silver/Gold).
  • Build and optimize semantic models and datasets for Power BI integration and advanced analytics consumption.
  • Ensure data quality, governance, and lineage using Fabric and Azure-native capabilities.
  • Optimize performance and cost across Fabric and Synapse workloads.
  • Collaborate with data architects, analysts, and business stakeholders to translate requirements into scalable solutions.
  • Implement best practices in CI/CD, version control, and deployment pipelines for data solutions.
  • Monitor and maintain data platform reliability, observability, and performance.
  • Support the evolution of modern data intelligence platforms and enterprise analytics ecosystems.

Conocimientos

SQL
Python
Spark
ETL
CI/CD
Git
Communication
English

Educación

BS in Computer Science, Engineering, or related field

Herramientas

Microsoft Fabric
Azure Synapse Analytics
Delta tables
Power BI

Descripción del empleo

  • Design, build, and maintain end-to-end data pipelines across ingestion, transformation, and analytics layers.
  • Develop and optimize data workflows using Microsoft Fabric (Data Factory, Lakehouse, Data Warehouse) and Azure Synapse Analytics.
  • Implement ELT pipelines using Fabric pipelines, Synapse pipelines, and notebooks, integrating multiple data sources.
  • Design and implement lakehouse architectures using Delta tables and medallion approach (Bronze/Silver/Gold).
  • Build and optimize semantic models and datasets for Power BI integration and advanced analytics consumption.
  • Ensure data quality, governance, and lineage using Fabric and Azure-native capabilities.
  • Optimize performance and cost across Fabric and Synapse workloads.
  • Collaborate with data architects, analysts, and business stakeholders to translate requirements into scalable solutions.
  • Implement best practices in CI/CD, version control, and deployment pipelines for data solutions.
  • Monitor and maintain data platform reliability, observability, and performance.
  • Support the evolution of modern data intelligence platforms and enterprise analytics ecosystems.
Job Description

    • Design, build, and maintain end-to-end data pipelines across ingestion, transformation, and analytics layers.
    • Develop and optimize data workflows using Microsoft Fabric (Data Factory, Lakehouse, Data Warehouse) and Azure Synapse Analytics.
    • Implement ELT pipelines using Fabric pipelines, Synapse pipelines, and notebooks, integrating multiple data sources.
    • Design and implement lakehouse architectures using Delta tables and medallion approach (Bronze/Silver/Gold).
    • Build and optimize semantic models and datasets for Power BI integration and advanced analytics consumption.
    • Ensure data quality, governance, and lineage using Fabric and Azure-native capabilities.
    • Optimize performance and cost across Fabric and Synapse workloads.
    • Collaborate with data architects, analysts, and business stakeholders to translate requirements into scalable solutions.
    • Implement best practices in CI/CD, version control, and deployment pipelines for data solutions.
    • Monitor and maintain data platform reliability, observability, and performance.
    • Support the evolution of modern data intelligence platforms and enterprise analytics ecosystems.
Qualifications

      • BS in Computer Science, Engineering, or related technical field, or equivalent practical experience.
      • 5+ years of experience in Data Engineering or similar roles.
      • Strong hands-on experience with Microsoft Fabric and Azure Synapse Analytics.
      • Experience designing and implementing data pipelines and ELT frameworks.
      • Strong proficiency in SQL and Python for data processing.
      • Experience with Spark / PySpark or distributed data processing is a plus.
      • Strong understanding of modern data architectures (lakehouse, data platform design).
      • Experience with data modeling and semantic layers.
      • Familiarity with the Azure ecosystem (ADF, Synapse, Data Lake) is highly preferred.
      • Experience with version control (Git) and CI/CD practices.
      • Strong communication skills and ability to work with cross-functional teams.
      • Advanced English (written and spoken).
      • Analytical mindset, proactive attitude, and ability to work in fast-paced environments.
Perficient full-time employees receive complete and competitive benefits. We offer a collaborative work environment, competitive compensation, generous work/life opportunities and an outstanding benefits package that includes paid time off plus holidays. In addition, all colleagues are eligible for a number of rewards and recognition programs including billable bonus opportunities. Encouraging a healthy work/life balance and providing our colleagues great benefits are just part of what makes Perficient a great place to work.

Who We Are

Perficient is a leading global digital consultancy. We imagine, create, engineer, and run digital transformation solutions that help our clients exceed customers’ expectations, outpace competition, and grow their business. With unparalleled strategy, creative, and technology capabilities, our colleagues bring big thinking and innovative ideas, along with a practical approach to help our clients – the world’s largest enterprises and biggest brands succeed.

What We Believe

At Perficient, we promise to challenge, champion, and celebrate our people. You will experience a unique and collaborative culture that values every voice. Join our team, and you’ll become part of something truly special.

We believe in developing a workforce that is as diverse and inclusive as the clients we work with. We’re committed to actively listening, learning, and acting to further advance our organization, our communities, and our future leaders… and we’re not done yet.

Perficient, Inc. proudly provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a protected veteran in accordance with applicable federal, state and local laws. Perficient, Inc. complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Perficient, Inc. expressly prohibits any form of unlawful employee harassment based on race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or covered veterans. Improper interference with the ability of Perficient, Inc. employees to perform their expected job duties is absolutely not tolerated.

Disability Accommodations:

Perficient is committed to providing a barrier-free employment process with reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or accommodation due to a disability, please contact us.

Disclaimer: The above statements are not intended to be a complete statement of job content, rather to act as a guide to the essential functions performed by the employee assigned to this classification. Management retains the discretion to add or change the duties of the position at any time.

About Us

Perficient is the global AI and technology consulting firm disrupting the traditional consulting model. Powered by our 7,000+ advisors, engineers, and designers, Perficient implements AI-first solutions that break conventions and deliver outcomes that matter. Proudly serving clients that represent the world’s most innovative brands, and in collaboration with our powerful technology partner ecosystem, we bring deep industry expertise and data-driven design to redefine how businesses run and succeed. Perficient is different. For real. Learn more at perficient.com .

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