Microsoft Fabric Engineer (Immediate Joiner)

3 days, 19 hours ago
Full-time
Senior
Software Development
Weekday

Weekday

Weekday helps companies hire engineers who are vouched by other software engineers, enabling passive income for engineers. They offer services like drafting outreach messages, shortlisting candidates, and conducting reference checks. Backed by Y Combin...

Construction & Engineering
11-50
Founded 2020

Description

  • Design, develop, and maintain scalable data pipelines using Microsoft Azure Fabric, Databricks, and Azure data services.
  • Build and optimize ETL/ELT processes for structured, semi-structured, and unstructured data.
  • Collaborate with business stakeholders to translate data requirements into technical solutions.
  • Develop and maintain reliable data integration workflows that ensure accuracy, consistency, and availability.
  • Optimize data processing pipelines for performance, scalability, cost efficiency, and reliability.
  • Use AI-assisted development tools and modern engineering practices to accelerate delivery and improve code quality.
  • Monitor, troubleshoot, and resolve production data pipeline issues.
  • Work with architects, analysts, developers, and cross-functional teams throughout the project lifecycle.
  • Implement best practices for data engineering, governance, documentation, testing, and operational support.
  • Own project deliverables, communicate risks proactively, and continuously improve engineering processes.

Requirements

  • 6+ years of experience required.
  • 5+ years of hands-on experience as a Data Engineer, with enterprise-scale data engineering experience.
  • Strong experience with Microsoft Azure Fabric, Databricks, and Azure data services in production environments.
  • Solid understanding of SQL, data modeling, data warehousing concepts, and cloud-based data platforms.
  • Proven experience designing and implementing scalable ETL/ELT pipelines and enterprise data integration solutions.
  • Proficiency in Python, Apache Spark, or similar technologies for large-scale data processing.
  • Experience optimizing cloud-based data workflows for performance, scalability, reliability, and cost efficiency.
  • Strong analytical and problem-solving skills to troubleshoot complex production issues.
  • Excellent communication and stakeholder management skills for global, cross-functional collaboration.
  • Comfortable using AI-assisted development tools and automation techniques.
  • Remote role based in India.
  • Full-time position.

Interested in this position?

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