Senior Data Engineer- Azure
2 weeks ago
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)
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