Data Engineering Specialist

Careernet; Bengaluru; On-site; INR 600,000 - 1,200,000; Full time

Job summary

Careernet is seeking an experienced Data Engineer to design and deliver end-to-end data solutions on Microsoft Azure and Fabric. You will build scalable pipelines, engineer lakehouse architectures, and align data models with business needs across on-prem, Azure, and SaaS data sources.

The role emphasizes data quality, governance, CI/CD and automated testing, with hands-on experience in PySpark/Spark and Fabric Notebooks. Knowledge of Fabric lakehouse concepts and Power BI integration is a plus.

Qualifications

• 7+ years data engineering experience on Microsoft platform.
• Strong SQL and data modeling for analytics.
• Experience with Azure Data Factory and modern integration patterns.

Responsibilities

• Design end-to-end data solutions on Azure and Fabric.
• Build scalable data pipelines with Azure Data Factory and Fabric.
• Engineer Fabric lakehouse architectures (Bronze/Silver/Gold).
• Design data models and data products aligned to business needs.
• Develop data transformations using PySpark/Spark in Fabric Notebooks.
• Integrate data from on-premises, Azure, and SaaS.
• Ensure data quality, governance, and reliability across data products.
• Implement CI/CD, monitoring, and version control for data ops.

Skills

Azure Data Factory

SQL

PySpark

Data Modeling

DataOps

Education

B.Tech / M.Tech / MCA programs

Tools

Databricks

Power BI

Python

Job description

Key Skills:

Roles and 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 Required:

• 7+ years data engineering experience within the Microsoft platform.
• 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.
• Microsoft Fabric and Azure certifications are a plus.

Competencies:

• Strategic agility
• Openness to Learning
• Business acumen
• Communications skills
• Cultural awareness
• Ethics & Values
• Compassion
• Self-Development
• Priority Setting
• Drive for Results

Education:

B.Tech, B.Tech-M.Tech Dual Degree, M.Tech, BCA, B.Sc., M.Sc., or MCA in any branch.