Job Description :

Position: Data Engineer
Location: Atlanta, GA (Hybrid, 3 days onsite)

Responsibilities:
Design and develop high-performance data ingestion pipelines using Azure Databricks & Azure Data Factory
Work with event-based streaming technologies for data ingestion and processing
Design and implement Data Lakehouse solutions
Collaborate with the project team on API interfaces and Search components
Ensure the design and implementation of technologies meet security standards
Review and approve code before migration to production
Work in Agile / DevOps environments to deliver solutions in iterative sprints
Collaborate on successful pilots with bottlers and measure value

Requirements:
10+ years of relevant experience
Strong knowledge of data management principles
Hands-on experience with Azure technologies, including Azure Storage, Azure Data Factory, PySpark, Python, Azure Data Lake, Azure Cosmos DB, Azure Stream Analytics
Experience with structured and unstructured data
Familiarity with ETL pipelines
Ability to adapt to changing priorities and scopes
Strong communication, problem-solving, and collaboration skills
Demonstrated commitment to diversity and inclusion
Join a dynamic and innovative team where you'll have the opportunity to work on exciting projects and shape the future of data engineering.
Interested? Apply today or share with someone who would be a great fit!

             

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