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Data Engineer

BrickRed Systems

We are seeking a Data Engineer (2-4 years) to build and scale data products that support analytics, reporting, operational visibility, and business decision-making. The ideal candidate is a product-minded engineer who takes ownership of solutions from design to production and enjoys solving complex data challenges.

Key Responsibilities

  • Design, develop, and optimize scalable data pipelines and data models.
  • Build and maintain enterprise-scale analytics solutions.
  • Implement Medallion Architecture (Bronze, Silver, Gold) and modern data lake practices.
  • Perform data troubleshooting, root cause analysis, and impact assessments .
  • Collaborate with business and technical teams to translate requirements into scalable solutions.
  • Write high-quality, maintainable code and participate in code reviews.
  • Support Agile delivery processes and leverage AI-powered tools to improve productivity.

Required Skills

  • SQL (Advanced)
  • Data Pipeline Development
  • Data Warehousing
  • Performance Tuning & Query Optimization
  • Cloud Data Engineering

Preferred Skills

  • Microsoft Fabric
  • Databricks
  • Azure Data Lake Storage (ADLS)
  • Azure Data Platform
  • Dimensional Modeling & Star Schema
  • Semantic Layer Design
  • Medallion Architecture
  • Power BI & DAX
  • Python and/or Scala
  • Object-Oriented Programming (OOP)
  • Software Design Principles (DRY, SRP, SOLID)

Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Statistics , or a related field.
  • Equivalent practical experience will also be considered.

ABOUT BRICKRED SYSTEM

SBrickRed Systems is a global leader in next-generation technology, consulting, and business process services. The company helps organizations accelerate digital transformation through innovative, scalable, and high-impact solutions across industries worldwide

.With ISO 27001 and ISO 9001 certifications and over a decade of experience, BrickRed Systems leverages cloud computing, analytics, hyper-automation, robotics, cognitive computing, and emerging technologies to deliver measurable business outcomes

.The organization fosters a strong continuous learning culture, enabling clients and talent to build future-ready digital capabilities and maintain a competitive edge in a rapidly evolving global marketplace.

Vacancy posted 2 hours ago
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