Azure ETL Data Engineer - 4-7 Years
Job Description for Azure ETL Data Engineer:
Design and develop ETL processes based on functional and non-functional requirements in Azure platform
Design and develop migration process from SQL Server to Azure platform
Understand the full end to end development activities from design to go live for ETL development in Azure platform
Recommend and execute improvements
Document component design for developers and for broader communication.
Understand and adopt an Agile (SCRUM like) software development mindset
Follow established processes/standards, business technology architecture for development, release management and deployment process
Execute and provide support during testing cycles and post-production deployment, engage in peer code reviews.
Job Requirement for Azure ETL Data Engineer:
Must-have skills
Undergraduate Degree or Technical Certificate.
Microsoft Azure certified – Data Engineer
Working experience (> 3 years) in Azure Data Factory, Azure Databricks, ADLS, Datadog, Azure SQL DB, Azure Synapse
Hands-on experience in Python / Spark / Pyspark / JSON
SQL Server (SSIS)
Working experience with data modeling, relational modeling and dimensional modeling
General knowledge about file formats (e.g. XML, CSV, JSON), databases (e.g. MS SQL, Oracle) and different type of connectivity is also very useful.
Data files movement via mailbox
Source-code versioning/promotion tools, e.g. Git/Jenkins
Orchestration tools in Azure platform
Nice-to-have skills
Sqoop / Hadoop / Shell Script
Java / Scala
Experience in Agile setting
Tracking and collaboration tools (e.g. JIRA, Confluence, MS Teams)
Skills:
Azure Data Factory
Azure Databricks
Azure Data Lake
Data Engineering
Azure SQL Data Warehouse
SQL
PowerShell
Python
Pyspark
Your future duties and responsibilities
Required Qualifications To Be Successful In This Role
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📌 Azure Data Engineer (Bengaluru)
🏢 CGI
📍 Bengaluru