Azure Data Engineer

Description

· 6-8 Years of Azure Cloud Native Services experience for Data and Analytics

· Extensive experience in Azure stack - Data Lake, Azure Data Factory.

· Hands-on experience in Azure services ADLS, Azure Data Factory, Azure Functions, Azure SQL DB

· - Exp in Snowflake data warehouse implementation.

· - Hands on Snow SQL, Snow pipe

· Experience with integrating with various Cloud data storage systems.

· Should be able to write low-level technical design documents with impacted areas.

· Designing and delivering Azure Data Analytics solutions

· Requirements Analysis and Solution Architecture Design.

· Data modelling and data architecture design.

· ETL, data integration and data migration design.

· Master data management system and process design and implementation.

· Data quality system and process design.

· Analysis of requirements and production of specifications.

· Documentation of solutions (e.g. data models, configurations, and setup).

· Working within a project management/agile delivery methodology in a leading role as part of a wider team.

· Deal with other stakeholders/ end users in the software development lifecycle – PMs, BAs, testing etc