Senior Data Engineer

Weekday (YC W21); India; Remote; INR 1,400,000 - 2,100,000; Full time

Job summary

Weekday (YC W21) is seeking a Data Engineer in India with 5+ years of hands-on experience to design and deliver scalable data pipelines on Microsoft Azure Fabric. You will leverage AI to boost productivity and collaborate with business and technical stakeholders from home across India.

The role emphasizes building enterprise-grade data solutions, optimizing workflows, and owning delivery with minimal supervision in a remote setup.

Qualifications

• 5+ years hands-on Data Engineer experience.
• Strong experience with Azure Fabric, Databricks and Azure data services.
• Proficient in SQL and data modeling concepts.
• Experience building enterprise-grade data pipelines and data integration.
• Python, Spark, or similar technologies preferred.
• Experience with cloud data platforms in production.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Azure Fabric.
• Build reliable ETL/ELT processes for structured and unstructured data.
• Translate data requirements with business teams into technical solutions.
• Optimize pipelines for performance, scalability, and cost.
• Apply AI-assisted development tools to improve speed and quality.
• Troubleshoot production issues and identify improvements.
• Collaborate with architects, analysts, and developers throughout the project.
• Own quality, timelines, and delivery without constant follow-up.
• Use AI/automation to deliver better solutions and productivity.
• Communicate risks early and keep stakeholders informed.
• Adapt to evolving requirements while maintaining delivery commitments.
• Engage with global teams, overlapping with US East Coast when needed.

Skills

Microsoft Azure Fabric

Databricks

SQL

Python / Spark

Cloud data platforms

Job description

This role is for one of our clients
Industry: Software Development
Seniority level: Mid-senior level
Min Experience: 5+ years
Location: India
JobType: full-time
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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