Senior Data Engineer
Quick Summary
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer based in India.
This is a fully remote opportunity for an experienced data engineer who enjoys solving complex data challenges and owning solutions from design through delivery. You will build scalable, production-grade data pipelines using Microsoft Azure Fabric, Databricks, and modern cloud data services. The role combines hands-on engineering with close collaboration across business and technical teams to turn data requirements into reliable solutions. You will have significant ownership over quality, timelines, performance, scalability, and cost efficiency. AI-assisted development and automation are encouraged to improve engineering productivity and accelerate delivery. This role is ideal for a proactive engineer who thrives in a collaborative, evolving environment and is comfortable working with global stakeholders.
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Design, develop, and maintain scalable data pipelines using Microsoft Azure Fabric, Databricks, and Azure data services.
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Build reliable ETL and ELT processes supporting both structured and unstructured data.
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Develop enterprise-grade data integration solutions that are secure, scalable, maintainable, and production-ready.
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Work closely with business stakeholders to understand data requirements and translate them into effective technical solutions.
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Apply strong data modeling and SQL practices to create efficient and reliable data structures.
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Optimize data processing workflows for performance, scalability, reliability, and cost efficiency.
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Use Python, Spark, and related technologies to develop and enhance data engineering solutions where appropriate.
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Leverage AI-assisted development tools, automation, and modern engineering practices to improve delivery speed and solution quality.
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Monitor, troubleshoot, and resolve production data issues while proactively identifying opportunities for improvement.
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Collaborate with architects, analysts, developers, and other technical stakeholders throughout the project lifecycle.
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Take end-to-end ownership of assigned work, ensuring high-quality delivery and accountability for timelines and outcomes.
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Proactively identify risks, clarify requirements, communicate progress, and keep stakeholders informed throughout delivery.
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Adapt to evolving business and technical requirements while maintaining delivery commitments.
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Collaborate effectively with global teams and provide overlap with U.S. East Coast working hours when critical discussions require it, potentially until 1:00 PM ET.
Requirements
~2 min read-
5+ years of hands-on professional experience in Data Engineering or a closely related role.
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Strong production experience with Microsoft Azure Fabric, Databricks, and Azure data services.
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Solid knowledge of SQL, data modeling, data integration, and modern data engineering principles.
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Proven experience designing and building enterprise-grade data pipelines and ETL/ELT solutions.
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Experience working with cloud-based data platforms in production environments.
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Proficiency in Python, Apache Spark, or comparable data processing technologies is preferred.
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Strong understanding of scalable data architecture, pipeline performance, reliability, and optimization.
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Experience working with both structured and unstructured data.
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Demonstrated ability to troubleshoot complex data and production issues and implement sustainable solutions.
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Comfortable using AI tools and automation to improve engineering productivity, solve technical problems, and enhance solution quality.
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Strong ownership mindset, with the ability to manage work independently and deliver without constant supervision.
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Proactive communication skills, including the ability to raise risks early, ask clarifying questions, and keep stakeholders informed.
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Ability to adapt quickly to changing priorities and evolving technical or business requirements.
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Strong collaboration skills and experience working with cross-functional and global teams.
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Ability to communicate technical concepts clearly to both technical and business stakeholders.
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Comfortable working remotely and coordinating effectively across time zones.
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Must-have technical skills: Databricks, Microsoft Fabric, and Data Engineering.
What We Offer
~2 min readLocation & Eligibility
Listing Details
- Posted
- October 5, 2026
- First seen
- October 5, 2026
- Last seen
- October 5, 2026
Posting Health
- Days active
- 0
- Repost count
- 1
- Trust Level
- 62%
- Scored at
- October 5, 2026
Signal breakdown
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