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Lead Data Engineer
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Full-time
- Experience in microservices and API design and implementation, with service-oriented architectures, SOAP and RESTful APIs
- Hands-on experience in developing scalable data pipeline using technologies like Kafka, Databricks, Spark and Scala applying ETL and ELT concepts.
- Experience with Continuous integration and deployment tools like Jenkins and Azure DevOps
- Experience in implementing data lake systems using cloud native technologies such as S3, Redshift, EMR, Hive, Presto, Spark.
- Container implementations using Docker, Kubernetes is a plus.
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