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Weekday AI

Senior Data Engineer

Weekday AI India

Technology, Information and Internet · 11-50 employees

16 h ago
Remote data-engineer Senior (5-10 yrs) Full-time India
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About the role

Design, build, and maintain scalable data pipelines and reliable ETL/ELT processes using Microsoft Azure Fabric and related technologies. Optimize production workflows, resolve issues, and collaborate with business and technical stakeholders to deliver data solutions.

What they look for

Databricks Microsoft Azure Fabric Data Engineering Azure Data Services SQL Data Modeling ETL/ELT Data Pipelines Python Spark Data Integration Cloud Data Platforms AI-Assisted Development Workflow Optimization Stakeholder Collaboration

Requirements

Requires at least five years of hands-on data engineering experience, including strong experience with Microsoft Azure Fabric, Databricks, and Azure data services. Candidates should have solid SQL and data modeling knowledge, experience with production cloud data platforms and enterprise data pipelines, and preferably proficiency in Python or Spark.

Full description

This role is for one of Weekday’s clients

Min Experience: 5+ years Location: India JobType: full-time

This is a full-time Remote role for an experienced Data Engineer who enjoys solving complex data problems and takes ownership from design through delivery. You can work from home (anywhere in INDIA, job location is in India).

This role is ideal for someone who can build scalable data pipelines on Microsoft Azure Fabric, leverage AI to improve engineering productivity, and work closely with business and technical stakeholders.

Qualifications:

  • 5+ years of hands-on experience as a Data Engineer.
  • Strong experience with Microsoft Azure Fabric, Databricks and Azure data services.
  • Solid knowledge of SQL and data modeling concepts.
  • Experience building enterprise-grade data pipelines and data integration solutions.
  • Proficiency in Python, Spark, or similar technologies is preferred.
  • Experience working with cloud-based data platforms in production environments.

 

Key Skills:

  • Design, develop, and maintain scalable data pipelines using Microsoft Azure Fabric.
  • Build reliable ETL/ELT processes for structured and unstructured data.
  • Work with business teams to understand data requirements and translate them into technical solutions.
  • Optimize data processing workflows for performance, scalability, and cost.
  • Apply AI-assisted development tools and modern engineering practices to improve delivery speed and solution quality.
  • Troubleshoot production issues and proactively identify improvements.
  • Collaborate with architects, analysts, and developers throughout the project lifecycle.
  • Owns their work. Take responsibility for quality, timelines, and outcomes without constant follow-up.
  • Thinks beyond the obvious. Actively use AI and automation to solve problems, improve engineering productivity, and deliver better solutions.
  • Communicates proactively. Raise risks early, ask questions when something isn't clear, and keep stakeholders informed.
  • Adapts quickly. Requirements evolve, and you're comfortable adjusting priorities while maintaining delivery commitments.
  • Works collaboratively. Available to engage with global teams and can overlap with the U.S. East Coast during critical discussions (up to 1:00 PM ET, as needed).

Must-have skills

Databricks, Fabric, Data Engineering

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