Description
Job Summary:

We are seeking a skilled Data Engineer with robust expertise in the Microsoft Azure ecosystem. The ideal candidate will design, build, and maintain scalable data pipelines and data solutions that support business analytics, reporting, and advanced data use cases. This role requires hands-on experience with Azure data services, data modeling, and ETL/ELT processes.

Key Responsibilities
Design, develop, and maintain data pipelines for ingesting, transforming, and loading data from various sources.
Build and optimize ETL/ELT workflows using Azure-native tools.
Work with structured and unstructured data across multiple platforms.
Ensure data quality, integrity, and accuracy through validation and monitoring.
Implement data modeling solutions for analytics and reporting.
Collaborate with business analysts, data scientists, and stakeholders to understand data requirements.
Optimize performance and scalability of data pipelines and storage.
Ensure data governance, security, and compliance standards are met.




Troubleshoot data issues and provide solutions proactively.

Required Skills & Experience

Core Azure Services
Azure Data Factory (ADF) – data integration and orchestration
Azure SQL / Azure SQL Database
Azure Data Lake Storage Gen2
Azure Databricks (PySpark / Spark SQL)

Programming & Querying
Solid SQL skills
Python (for data processing and automation)
PySpark / Spark (for big data processing)

Data Engineering Concepts
ETL/ELT design patterns
Data warehousing concepts (Star/Snowflake schema)
Incremental loads and CDC (Change Data Capture)
Data modeling (dimensional & normalized models)

DevOps & Automation
Azure DevOps / CI-CD pipelines
Git version control

Additional / Preferred Skills
Experience with Power BI for data visualization integration
Knowledge of data governance tools (e.g., Purview)
Experience working in Agile/Scrum settings

Education & Experience
Bachelor’s degree in Co

📌 Industry Data Research Bengaluru
🏢 Fortive
📍 Bengaluru