Senior Data Engineer
Weekday · India
- Location
- India
- Funding
- $2.32M
- Posted
- Oct 1, 2026
Weekday is hiring a Senior Data Engineer based in India. Every apply link on Engg.space goes straight to the company's own careers page - no recruiter middleman, no generic job-board form.
Apply directly at WeekdayRole details
Weekday - Senior Data Engineer Senior Data Engineer India Technology, Information and Media – Technology, Information and Media / Full-time / Remote apply for this job 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 ₹20,00,000 - ₹40,00,000 a year 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 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. apply for this job Jobs powered by
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