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Weekday AI

Senior Data Engineer

India
Level
Senior
Work type
Remote · India only

Not stated in the posting: salary, visa.

Open. First seen 3 October 2026.

Apply on the company's site →

What this role asks for

Particular to this role

Databricks

Rare in Weekday AI's other 299 open postings.

Standard for data engineering roles

Azure · ETL · Python · SQL · Spark

Common in data engineering postings at any company.

Read against Weekday AI's other open postings on this site.

The team: Weekday's Client via platform HIRES STEADILY

This role is one of 215 open in Weekday's Client via platform. 106 were posted in the last 30 days and the oldest in September: a team that hires all year rather than one being built.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

Python (75 of 215), CI/CD (62 of 215), AWS (58 of 215), SQL (58 of 215), Azure (49 of 215), GCP (39 of 215), LLM (39 of 215)

OTHER ROLES ON THIS TEAM

From the team and dates on Weekday AI's own job board.

About the role

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.

Requirements

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

Salary context

101 other open postings titled Senior Data Engineer state a salary: median USD 150,400 to USD 200,000 a year.

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