Azure Databricks
PySpark
Python
Microsoft Fabric
Azure Data Factory (ADF)
Azure Synapse Analytics
Informatica
ETL/Data Engineering
SQL
Data Quality Frameworks
DataOps
CI/CD Pipeline implementation
Solution Design & Architecture
Strong communication and stakeholder management skills
Secondary Skills
Apache Spark
Azure Cloud Services
Data Modeling
Performance Optimization
Azure DevOps
Git
Agile/Scrum methodology
JavaScript (basic knowledge is acceptable)
Roles & Responsibilities
Design, develop, and optimize scalable data pipelines using Azure Databricks, PySpark, and Python.
Build and maintain ETL/ELT workflows using Azure Data Factory, Synapse, Informatica, and Microsoft Fabric.
Develop robust data engineering solutions to support business intelligence and analytics initiatives.
Ensure data quality, integrity, governance, and monitoring across data platforms.
Implement DataOps best practices and automate deployments using CI/CD pipelines.
Translate functional and business requirements into technical solutions and development tasks.
Collaborate with business stakeholders, product owners, architects, and cross-functional teams.
Troubleshoot production issues, optimize performance, and ensure high availability of data solutions.
Participate in solution design discussions, technical reviews, and estimation activities.
Follow coding standards, documentation practices, and industry best practices.
Positive-to-Have Skills
Domain experience in Manufacturing or Retail
Experience with Azure DevOps
Knowledge of Delta Lake and Lakehouse architecture
Experience with Data Warehousing concepts
Exposure to Power BI
Experience with cloud migration projects
Certification in Azure Data Engineering or Databricks
Knowledge of AI/ML data preparation pipelines
Required Soft Skills
Excellent communication and i
📌 Lead I (Bengaluru)
🏢 UST
📍 Bengaluru
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