Senior Data Engineer / Microsoft Fabric Engineer (Immediate Joiner)

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 / Microsoft Fabric Engineer (Immediate Joiner) based in India.

This is an exciting opportunity for an experienced data engineering professional to build and optimize modern cloud-based data platforms in a fully remote environment. The role focuses on designing scalable, high-performance data solutions that power enterprise analytics and strategic decision-making. You will work across the full data engineering lifecycle, from architecture and implementation to production support and continuous improvement. Collaborating with business stakeholders, architects, and cross-functional teams, you will transform complex data requirements into reliable and efficient data ecosystems. The position offers exposure to cutting-edge technologies such as Microsoft Fabric, Databricks, and AI-assisted development tools, making it ideal for professionals passionate about innovation, cloud technologies, and data-driven transformation.

Accountabilities:: Design, develop, and maintain scalable data pipelines using Microsoft Fabric, Databricks, and Azure data services.

Build and optimize ETL/ELT processes capable of handling structured, semi-structured, and unstructured enterprise data.

Collaborate with business stakeholders and technical teams to gather requirements and translate them into robust data engineering solutions.

Develop and maintain reliable data integration workflows that ensure data quality, consistency, and accessibility across platforms.

Optimize data processing environments for performance, scalability, reliability, and cost efficiency.

Utilize AI-assisted development tools and modern engineering practices to accelerate delivery and enhance solution quality.

Monitor, troubleshoot, and resolve production issues while proactively identifying opportunities for automation and continuous improvement.

Implement best practices related to data governance, documentation, testing, security, and operational support.

Take ownership of project deliverables by managing timelines, communicating risks effectively, and driving high-quality outcomes.

Requirements

Minimum of 5–6 years of hands-on experience in Data Engineering, with proven expertise in enterprise-scale data platforms.

Strong experience with Microsoft Fabric, Databricks, and Azure data services in production environments.

Solid understanding of SQL, data modeling, data warehousing concepts, and modern cloud-based data architectures.

Demonstrated experience designing and implementing scalable ETL/ELT pipelines and enterprise data integration solutions.

Proficiency in Python, Apache Spark, or similar technologies for large-scale data processing.

Experience optimizing cloud-based workflows for performance, reliability, scalability, and cost management.

Strong analytical and problem-solving capabilities with the ability to troubleshoot complex production challenges.

Familiarity with AI-assisted development tools and automation techniques to improve engineering productivity.

Excellent communication and stakeholder management skills, with experience collaborating across global and cross-functional teams.

Self-driven, proactive, and ownership-oriented mindset with the ability to adapt to evolving business priorities.

Immediate availability or short notice period is highly preferred.

Benefits

Competitive compensation package ranging from INR 11 LPA to INR 50 LPA , depending on experience and expertise.

Fully remote work setup within India, offering flexibility and improved work-life balance.

Opportunity to work with modern cloud technologies and enterprise-scale data platforms.

Exposure to cutting-edge tools including Microsoft Fabric, Databricks, and AI-driven engineering practices.

Collaborative and innovation-focused work environment with global stakeholder interaction.

Significant opportunities for professional growth, learning, and career advancement.

High-impact projects that directly influence business intelligence, analytics, and strategic decision-making.

Supportive culture that encourages ownership, continuous improvement, and technical excellence.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1