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:

- Robust 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

📌 IT Specialist (Bengaluru)
🏢 Textron
📍 Bengaluru