It Specialist

Kautex Textron GmbH & Co. KG; Karnataka; On-site; INR 1,400,000 - 2,100,000; Full time

Job summary

Kautex is seeking an IT Specialist in Bengaluru to design and deliver end-to-end data solutions on Azure and Fabric. You will build scalable pipelines, architect lakehouse patterns, and ensure data quality and governance across multiple platforms.

The role requires 7 years of data engineering experience on Microsoft stack and strong SQL/data modelling skills, with familiarity with Fabric and Power BI integration.

Qualifications

• Bachelor's degree in computer science/engineering or equivalent.
• 7 years data engineering experience within the Microsoft platform.
• Microsoft Fabric and Azure certifications are a plus.

Responsibilities

• Design and deliver end to end data solutions across Microsoft Azure and Fabric platforms.
• Build and maintain scalable data pipelines using Azure Data Factory and Fabric.
• Engineer Microsoft Fabric Lakehouse architectures (Bronze, Silver, Gold).
• Design data models and data products aligned to business needs.
• Develop and optimise data transformations using PySpark/Spark in Fabric Notebooks.
• Integrate data from on-premise, Azure, and SaaS platforms.
• Ensure data quality, governance and reliability across data products.
• Implement data operations practices including CI/CD, monitoring and version control.

Skills

Azure Data Factory

SQL

Microsoft Fabric

PySpark/Spark

Data modelling

DataOps

CI/CD

Power BI integration

Data governance

APIs & Python scripts

Education

Bachelor's degree in computer science/engineering or equivalent

Tools

Databricks

Power BI

Job description

IT Specialist

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