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Kafka Data Engineer
3 months ago
Mandatory skills :
Azure, Kafka, Data Engineering or any Data Platforms background
- Experience with Azure/MS
Data Platforms:
Postgres Single and Flex, Azure SQL, MS SQL server, Kubernetes
- Terraform (Preferred not Compulsory), Bicep or other IaC.
- Helm (helm deployments as well writing charts).
- Azure DevOps pipelines.
- Engineer, Data Engineer, or similar roles with a strong focus on Kafka and data engineering within the Azure environment.
- Experience with Data pipelines for deploying database code
- Postgres, Azure SQL, and SQL Server
Role Description :
This is a full-time role for a Kafka Data Engineer.
- The Kafka Data Engineer will be responsible for building and maintaining highperformance distributed data pipelines utilizing Apache Kafka.
- They will need to work closely with data architects and software engineers to ensure data pipeline robustness, correctness, and recoverability.
- They will need to incorporate scalable techniques to manage large amounts of data and access various data sources as well as implement Kafka producers and consumers.
Qualifications :
- Strong proficiency with Apache Kafka (including Kafka Connect, Kafka Streams, and Kafka Security)
- Experience with various data storage systems and data formats (e.g. AWS S3, Hadoop, Avro, Parquet)
- Experience with big data processing frameworks (e.g. Spark)
- Experience with developing solutions utilizing Java, Python, and Scala
- Strong experience with SQL and NoSQL databases
- Experience working with message queuing, stream processing, and highly scalable systems
- Bachelor's degree or higher in Computer Science, Software Engineering, or a related field
- Excellent communication and collaboration skills with the ability to work effectively in a remote environment
- Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform is a plus