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Weekday (YC W21)

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Microsoft Fabric Engineer

EngineerEngineerFull TimeRemoteSeniorTeam 11-50Since 2021H1B No SponsorCompany SiteLinkedIn

Location

India

Posted

6 days ago

Salary

Rs1,100K - Rs5,000K / year

Seniority

Senior

Job Description

Microsoft Fabric Engineer

Weekday (YC W21)

• Design, develop, and maintain scalable data pipelines using **Microsoft Azure Fabric**, Databricks, and Azure data services. • Build and optimize robust ETL/ELT processes for structured, semi-structured, and unstructured data across enterprise environments. • Collaborate with business stakeholders to understand data requirements and translate them into scalable technical solutions. • Develop and maintain reliable data integration workflows that ensure data accuracy, consistency, and availability. • Optimize data processing pipelines for performance, scalability, cost efficiency, and operational reliability. • Leverage AI-assisted development tools and modern engineering practices to accelerate solution delivery and improve code quality. • Monitor, troubleshoot, and resolve production data pipeline issues while proactively identifying opportunities for automation and optimization. • Work closely with architects, analysts, developers, and cross-functional teams throughout the project lifecycle to deliver high-quality data solutions. • Implement best practices for data engineering, governance, documentation, testing, and operational support. • Take ownership of project deliverables by ensuring quality, meeting timelines, communicating risks proactively, and continuously improving engineering processes.

Job Requirements

  • 6+ years of hands-on experience as a **Data Engineer** with expertise in enterprise-scale data engineering solutions.
  • 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 with the ability to troubleshoot complex production issues effectively.
  • Comfortable using AI-assisted development tools and automation techniques to improve engineering productivity and solution quality.
  • Excellent communication and stakeholder management skills, with the ability to collaborate effectively across global, cross-functional teams.
  • A proactive, ownership-driven mindset with the flexibility to adapt to evolving priorities while consistently delivering high-quality, business-critical data solutions.

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