About the Role

As an Azure Data Engineer, you will be responsible for building and automating ETL/ELT workflows, developing Kafka integrations, and optimizing cloud-native data solutions in Azure. You will also manage enterprise data platforms using Snowflake, ensure data accuracy and compliance, and collaborate with various teams in an Agile environment.

About You

Required:

Bachelor’s degree in Computer Science, Engineering, or related technical field.
Minimum 5+ years of experience in Data Engineering or Data Warehouse environments.
Strong experience designing, building, and maintaining batch and real-time data pipelines.
Proven experience in the payments, banking, or financial services industry.
Strong expertise in SQL, PL/SQL, and query optimization.
Hands-on experience with ETL/ELT tools.
Experience working with relational databases such as Oracle, DB2, Teradata, SQL Server.
Experience with Kafka or streaming platforms.
Strong programming skills in Java and/or Python.
Experience developing API integrations with cloud or enterprise systems.
Experience with Unix Shell scripting.
Understanding of data modeling concepts and ETL frameworks.
Experience working in Agile environments.

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Azure Data Engineer (Local GA Only)

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Summary

About the Role

About You