Candidate must have good hands-on experience in Cloud Data Engineering. Have contributed for all the Cloud development, migrations, and support works. Must be comfortable on independently maintain and supports EDW, cloud modernization, SQL development, Azure cloud development, ETL using Azure Data Factory. Have successfully implemented data Streaming using Apache Kafka, Kubernetes, Databricks, Snowflake, SQL Server, Airflow for monitoring and support. GIT and DevOps for pipeline automations. Should Lead a team of data engineers. Partner and manage stakeholder relationshipsBachelor's degree in computer science, Engineering, or related field.
7+ years of experience in software development.
Experience with cloud platforms (e.g., AWS, Azure).
Proficiency in Kafka for real-time data streaming.
Strong experience with Snowflake for data warehousing.
Expertise in Terraform for infrastructure automation.
Solid knowledge of .NET framework for application development.
Extensive experience with SQL Server for database management.
Proficiency in SSIS for ETL processes.
Familiarity with Agile development methodologies.
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