Senior Data Engineer

 Responsiblties:

• Builds and maintains Azure data platform for Sun including enterprise data lake and data warehouse in alignment with Suns strategic objectives and organizational goals.
• Incorporates Azure data platform best practices into Suns Azure data platform.
• Develops policies and implements mechanisms for data ingestion into Azure data platform from various sources.
• Supports & mentors the data team on best practices & methodologies.
• Leads navigating challenging or technical situations to find best business outcomes.
• Works with Microsoft support to ensure an ongoing stable data system.
• Configures, validates, and implements various Azure tools such as but not limited to Databricks, Data Factory, Data Lake, Synapse Analytics and Data Catalog as appropriate.

Requirment:

• Bachelor's Degree in Computer or Data Science, Data Analytics, Statistics, or Information Management.
• 3 years experience designing and building enterprise data lake.
• 5 years experience designing and building an enterprise data warehouse.
• 5 years of experience in modern data platforms based on Azure including but not limited to Azure Data Lake, Azure Data Factory, Azure Databricks, Synapse Analytics.
• Proficient in creating data factory pipelines; copy activity, custom Azure development, custom databricks development.
• Advanced SQL experience and organizing database for query performance.

Key Skills:

• Data Warehousing.
• Data Architecture. 
• Coding.
• Operating System. 
• Apache Hadoop-Based Analytics. 
• Machine Learning.