Senior Data Engineer- Azure

Job purpose:

Design & implement the best-engineered technical solutions using the latest technologies and tools.

Who you are:

• 4+ Experience in designing and hands-on development in cloud-based analytics solutions.
  
• Expert level understanding on Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service is required.
  
• Designing and building of data pipelines using API ingestion and Streaming ingestion methods.
  
• Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code is essential.
  
• Experience in developing NO SQL solutions using Azure Cosmos DB is essential.
  
• Thorough understanding of Azure and AWS Cloud Infrastructure offerings.
  
• Strong experience in common data warehouse modelling principles including Kimball, Inmon.
  
• Experience in additional Modern Data Platforms related technologies such as Snowflake, Matillion, BryteFlow and Tableau are a distinct advantage.
  
• Knowledge in Azure Databricks, Azure IoT, Azure HDInsight + Spark, Azure Stream Analytics, Power BI is desirable.
  
• Knowledge of Microsoft BI Stack (SSRS/SSAS (Tabular with DAX & OLAP with MDX) SSIS) is desirable. Knowledge of C# and Hands-on with Powershell scripting is desirable.
  
• Working knowledge of Python is desirable.
  
• Experience developing security models.
  

What will excite us:

• Analyses current business practices, processes, and procedures as well as identifying future business opportunities for leveraging Microsoft Azure Data & Analytics Services.
  
• Engage and collaborate with customers to understand business requirements/use cases and translate them into detailed technical specifications.
  
• Collaborate with project managers for project/sprint planning by estimating technical tasks and deliverables.
  
• Engage with clients leadership and technology teams in strategic discussions to provide technical strategy and industry guidance to improve their long-term business goals.
  
• Staying abreast of the latest developments in the modern data platform area (especially Azure analytics services.
  
• Lead small and large teams in delivering solutions for customers.
  
• Develop best practices including reusable code, libraries, patterns, and consumable frameworks for cloud-based data warehousing and ETL.
  
• Maintain best practice standards for the development or cloud-based data warehouse solutioning including naming standards.
  

What will excite you:

• Opportunity to work on large scale enterprise solution building.
  
• Opportunity to explore new technologies & frameworks with accomplished solution architects & industry leaders.
  
• Will get exposure to latest aspects of security, AI/ML, Business Domain and data analytics.
  

Location : Ahmedabad (Work From Office)