IT Specialist
Description
Responsibilities:
- Design and deliver end to end data solution across Microsoft Azure and Fabric platforms.
- Build and maintain scalable, high performance data pipelines using Azure Data Factory and Fabric.
- Engineer Microsoft Fabric Lakehouse architectures using medallion layers (Bronze, Silver, Gold).
- Design and implement data models and data products aligned to business needs.
- Develop and optimise data transformations using PySpark/ Spark within Microsoft Fabric Notebooks.
- Integrate data from on-premise, Microsoft Azure and SaaS platforms.
- Ensure data quality, performance, governance and reliability across all data products.
- Implement data operations practices including CI/CD, monitoring and version control.
Skills:
- Strong experience with Azure Data Factory and modern data integration patterns through native connections, APIs, Python scripts etc.
- Strong proficiency in SQL and data modelling for analytics-ready solutions.
- Experience with Azure cloud data platforms and modern data architectures.
- Knowledge or experience of Microsoft Fabric, including lakehouse / warehouse concepts and Power BI integration.
- Experience with PySpark /Spark-based data processing (e.g. Databricks or Fabric).
- Understanding of DataOps principles, including CI/CD, automated testing, monitoring, and data lifecycle management.
- Experience designing medallion (Bronze/Silver/Gold) architectures, lakehouse patterns, and batch/near-real-time processing.
Competencies:
- Strategic agility
- Openness to Learning
- Business acumen
- Communications skills
- Cultural awareness
- Ethics & Values
- Compassion
- Self-Development
- Priority Setting
- Drive for Results
- Organizational Skills
Qualifications
- Bachelor’s degree in computer science engineering or equivalent experience, with proven experience in data engineering, analytics engineering, or a similar role.
- 7 years data engineering experience within the Microsoft platform.
- Microsoft Fabric and Azure certifications are a plus.
Benefits
- Hands-on experience designing, building, and maintaining scalable data pipelines and data platforms.
- Understanding of data governance, data quality, security, and metadata management best practices.
- Strong analytical and problem-solving skills with the ability to troubleshoot complex data issues.
- Ability to work collaboratively with business stakeholders, architects, and cross-functional teams to deliver data products.
- A proactive mindset with a focus on continuous improvement, innovation, and delivering business value through data.
- Experience developing and supporting data products, transforming business requirements into trusted, governed, and reusable datasets that drive reporting, analytics, and operational decision-making.
- Understanding of data product lifecycle management, including data ownership, quality, metadata, lineage, and governance best practices
Recruiting Company: Kautex
Primary Location: India-KA-Bengaluru
Job Function: Information Technology
Schedule: Full-time
Job Level: Individual Contributor
Job Type: Experienced
Shift: First Shift
Travel: Yes, 5 % of the Time
Job Posting: 09/04/2026, 2:38:08 PM
Job Number: 343949