Senior Data Engineer / Microsoft Fabric Engineer (Immediate Joiner) at Weekday AI

, , India -

Full Time

Start Date

Immediate

Expiry Date

17 Oct, 26

Salary

5000000.0

Posted On

19 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Microsoft Azure Fabric, Databricks, Azure Data Services, ETL/ELT, SQL, Data Modeling, Data Warehousing, Python, Apache Spark, Cloud Data Platforms, AI-assisted Development, Data Integration, Performance Optimization, Stakeholder Management, Production Support, Data Governance

Industry

technology;Information and Internet

Description

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟭𝟭𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟱𝟬𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟭𝟭-𝟱𝟬 𝗟𝗣𝗔) Experience: 6+ yrs Location: Remote (India) Job Type: Full-time We are looking for an experienced Data Engineer to design, develop, and optimize scalable data platforms and modern cloud-based data solutions. This role is ideal for professionals with strong expertise in Microsoft Azure Fabric, Databricks, Azure data services, and enterprise data engineering, along with a passion for building reliable data pipelines and leveraging AI-assisted development to improve engineering productivity. As a Data Engineer, you will take ownership of the complete data engineering lifecycle—from solution design and implementation to production support and continuous optimization. You will collaborate closely with business stakeholders, architects, analysts, and development teams to transform complex data requirements into scalable, high-performance data solutions that enable analytics and informed business decision-making. Key Responsibilities Design, develop, and maintain scalable data pipelines using Microsoft Azure Fabric, Databricks, and Azure data services. Build and optimize robust ETL/ELT processes for structured, semi-structured, and unstructured data across enterprise environments. Collaborate with business stakeholders to understand data requirements and translate them into scalable technical solutions. Develop and maintain reliable data integration workflows that ensure data accuracy, consistency, and availability. Optimize data processing pipelines for performance, scalability, cost efficiency, and operational reliability. Leverage AI-assisted development tools and modern engineering practices to accelerate solution delivery and improve code quality. Monitor, troubleshoot, and resolve production data pipeline issues while proactively identifying opportunities for automation and optimization. Work closely with architects, analysts, developers, and cross-functional teams throughout the project lifecycle to deliver high-quality data solutions. Implement best practices for data engineering, governance, documentation, testing, and operational support. Take ownership of project deliverables by ensuring quality, meeting timelines, communicating risks proactively, and continuously improving engineering processes. What Makes You a Great Fit 5+ years of hands-on experience as a Data Engineer with expertise in enterprise-scale data engineering solutions. Strong experience with Microsoft Azure Fabric, Databricks, and Azure data services in production environments. Solid understanding of SQL, data modeling, data warehousing concepts, and cloud-based data platforms. Proven 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 data workflows for performance, scalability, reliability, and cost efficiency. Strong analytical and problem-solving skills with the ability to troubleshoot complex production issues effectively. Comfortable using AI-assisted development tools and automation techniques to improve engineering productivity and solution quality. Excellent communication and stakeholder management skills, with the ability to collaborate effectively across global, cross-functional teams. A proactive, ownership-driven mindset with the flexibility to adapt to evolving priorities while consistently delivering high-quality, business-critical data solutions.

Responsibilities

Design, develop, and optimize scalable data pipelines and ETL/ELT processes using Microsoft Azure Fabric and Databricks. Collaborate with stakeholders to transform complex data requirements into high-performance solutions for business analytics.