Job Description

8.00 to 14.00 Years
Azure data engineersDevelop, construct, test, maintain optimal data pipeline architecture to align it with business requirements Should have good experience in Azure Data services that include Azure Data Factory, Azure Data Catalog, Azure Data Lake, Azure SQL, Azure Data Bricks, Azure Stream Analytics Should have good experience in optimal data extraction, transformation, and loading of data from a wide variety of on-premise and cloud data sources, and deal with variety of File formats – Tabular, Avro, Parquet, CSV, JSON etc. Should have handled both Batched as well as streaming data sets Build Azure Data Lakes to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics Should be able to support the data modelers, analysts and scientists to build Data Architecture with modern data- driven principles like Flexibility at scale, parallel and distributed processing, democratized data access that enables them to be more productive Work with stakeholders including the Executive, Product, Data and Design teams to assist with data- related technical issues and support their data needs Identify ways to improve data reliability, efficiency and quality Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re- designing infrastructure for greater scalability, etc.