Roles & Responsibilities

- Design, build, and maintain scalable data solutions on Microsoft Azure to support business data needs.
- Develop and manage data pipelines for ingesting, transforming, and integrating data from multiple sources.
- Perform data modelling for data warehousing projects to build scalable and reliable data warehouses.
- Implement data security, governance, and privacy controls across Azure data platforms.
- Monitor, troubleshoot, and optimize data workflows to ensure reliability, performance, and cost efficiency.
- Optimize data storage and processing solutions by leveraging Azure best practices and services.
- Design and maintain end-to-end data pipelines, ensuring reliable data ingestion, transformation, and processing using Spark.
- Continuously optimize data storage and processing to achieve high performance and cost efficiency across Azure data platforms.

Mandatory Technical & Functional Skills

- 6 years of consulting or client service delivery experience in Azure Microsoft Data Engineering.
- 4 years of experience designing and building data ingestion, processing, and analytical pipelines using SQL Server, Azure Synapse, Azure Databricks, and Microsoft Fabric.
- Hands-on experience implementing ETL and data processing using Microsoft Fabric, OneLake, ADLS, Azure Data Factory, and Azure Functions.
- 5 years of hands-on experience with Azure and Big Data technologies, including:
- Microsoft Fabric
- Azure Databricks
- Python
- SQL
- ADLS / Blob Storage
- PySpark
- Spark SQL
- 3 years of experience working with RDBMS technologies.
- Experience with big data file formats and compression techniques.
- Proficiency with developer tools such as Azure DevOps, Git, and Visual Studio Team Services (VSTS).




- Bachelor's degree in Computer Science or a related discipline, or equivalent professional experience.

Preferred Technical & Functional Skills

- Provide technical leadership to data engineering teams, including solution design, implementation guidance, client demonstrations, and presentations.
- Strong English communication skills and client-facing experience.
- Design, develop, and deploy scalable ETL pipelines on Azure using:
- Azure Data Factory
- Azure Synapse Analytics
- Azure Functions
- Notebooks
- Related Azure services
- Robust hands-on experience with Microsoft Fabric, including:
- Medallion Architecture
- Metadata-driven ingestion frameworks
- Data quality frameworks
- SCD Type 1 and Type 2 transformations using Fabric Notebooks or Databricks
- Exposure to Microsoft Copilot and Generative AI fundamentals, with the ability to identify and apply industry-relevant AI use cases to data engineering workflows.
- Relevant Microsoft role-based certifications such as DP-600, DP-700, DP-203, DP-900, AI-102, and AI-900. Power BI PL-300 certification is an added advantage.
- Proficiency in Power BI for building dashboards, defining KPIs, and delivering actionable business insights.
- Proficiency in data modelling and building large-scale data warehouse designs.
- Strong knowledge of Azure RBAC and IAM, with experience implementing access controls, security, and compliance standards.
- Experience in data governance, performance optimization, and cost-efficient, scalable Azure solutions.
- Familiarity with Azure DevOps and Git.
- Experience mentoring junior team members and managing data engineering projects in consulting environments.
- Alignment with Microsoft's vision and roadmap, with an eagerness to adopt emerging tools across the data and AI ecosystem.

📌 Senior Azure Data Engineer (Bengaluru)
🏢 Teamware Solutions
📍 Bengaluru