Azure ETL Developer
Candidate would develop applications in AZURE - data and analytics technologies including but not limited to Azure Purview, Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Analytics, HDInsight, Azure Functions Serverless Compute, Azure Functions, Azure Audit Logs, Azure Monitor, Azure Service Bus Messaging, Azure Blob Storage, Azure VPN Gateway, Azure Virtual Machines, Azure Identity Management and Azure Active Directory.
Candidate would be working with one or more RDS databases in azure, Azure Database for MySQL, Azure Database for PostgreSQL, Azure SQL Database
Candidate would build ETL pipelines using Apache Spark.
Candidate would need to do development using application development by lifecycles, & continuous integration/deployment practices using Azure Data Factory and Azure DevOps
Working to integrate open-source components into data-analytic solutions
Working with vendors to enhance tool capabilities to meet enterprise needs
Willingness to continuously learn & share learnings with others
Experience in Cloud platform - Azure eco-system.
Strong development hands on background in creating pipelines, data flows and complex data
Experience with Azure Data Factory in building pipelines
Hands on experience in using the azure data copy and data flow activities
Candidate should have Hands on experience with AZURE services such as Azure Purview, Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Analytics, HDInsight, Azure Functions Serverless Compute, Azure Functions, Azure Audit Logs, Azure Monitor, Azure Service Bus Messaging, Azure Blob Storage, Azure VPN Gateway, Azure Virtual Machines, Azure Identity Management and Azure Active Directory.
Strong knowledge of apache Spark and hands-on development experience.
Proficient in at least one programming language (Python, Scala, Java etc.)
Experience in ETL / Data application development and version control systems such as Git.
Knowledge of application development lifecycles, & continuous integration/deployment practices.
3 - 6 years’ experience delivering and operating large scale, highly visible distributed systems.-
Skill Set/Years of Experience/Proficiency Level
Spark/Azure Data Lake Analytics
SQL– Simple to Complex SQL analysis
How to Apply:
Apply online at https://www.cgi.com/en/careers
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Location: Lafayette, LA
Date Posted: August 17, 2021
Application Deadline: October 18, 2021