What You'll Do
Design and manage end-to-end data workflows using Microsoft Fabric, including data pipelines, dataflows, lakehouses, and data warehouses. Build efficient, reusable ingestion processes from diverse sources such as APIs, databases, and external platforms. Develop and refine data models to enhance consistency, accuracy, and access across teams.
Partner with business and technical stakeholders to understand data needs and deliver analytics-ready datasets. Implement monitoring and validation systems to ensure data integrity and reliability. Support reporting and visualization tools like Power BI by delivering well-structured, high-quality datasets.
Champion DevOps practices by integrating version control, CI/CD pipelines, and structured deployment processes into data workflows. Collaborate with engineering teams to align data architecture with broader system integrations. Proactively troubleshoot data issues and contribute to platform-wide standards, documentation, and automation initiatives.
Requirements
- Professional experience in data engineering, analytics engineering, or a closely related field
- Proven ability to develop and maintain complex data pipelines across heterogeneous sources
- Direct experience with Microsoft Fabric and Azure data services
- Strong proficiency in SQL for data transformation, validation, and analysis
- Programming experience using Python or equivalent for automation and processing tasks
- Familiarity with Git and collaborative version control workflows
- Experience preparing data for business intelligence and reporting platforms
- Solid grasp of cloud-based data engineering principles and patterns
- Ability to create scalable, maintainable, and resilient data systems
- Strong analytical and problem-solving capabilities
- Skill in translating business requirements into technical implementations
- Clear communication skills, especially when explaining technical concepts
- Organized approach to managing multiple concurrent priorities
- Team-oriented mindset with experience working across functional boundaries
- Commitment to continuous improvement, quality, and ownership
Preferred Qualifications
- Degree in Computer Science, Data Science, or a related discipline
- Relevant certifications in Microsoft Azure or data technologies
- Experience with data quality frameworks, testing, and alerting systems
- Background in CI/CD and DevOps for data platforms
- Familiarity with Power BI or similar analytics tools
- Knowledge of medallion architecture or metadata-driven pipeline design
- Experience processing real-time or near real-time data streams
- Understanding of data governance and platform best practices
- Adaptability in fast-moving, evolving technical environments
- Passion for staying current with emerging data technologies
Benefits
- Fixed working hours: 12:00 PM – 9:30 PM IST (Summer) / 1:00 PM – 10:30 PM IST (Winter)
- No weekend commitments—genuine work-life balance
- Day one access to a company-issued laptop and comprehensive medical insurance
- Mentorship programs and collaborative forums that support growth
- An inclusive environment focused on long-term career development and meaningful contributions
