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Consult Asia is seeking an experienced Data Engineer to design and migrate data pipelines using Spark and Python/Scala, and to move Hive and Control-M jobs to Airflow/DBT. The role requires integrating with Kafka, Solace, S3, and MinIO, and deploying on Kubernetes for scalable, automated, production-ready solutions.
The ideal candidate will have 6–9 years of data engineering experience, strong Spark, Python/Scala, and SQL skills, and hands-on experience with Airflow, DBT, Kafka, and Kubernetes.
Develop and migrate data pipelines using Spark, Python/Scala. Move Hive and Control-M jobs to Airflow/DBT. Integrate with Kafka, Solace, S3, MinIO, and deploy on Kubernetes ensuring scalable, automated, production-ready solutions.
Experienced Data Engineer (6–9 yrs) with strong Spark, Python/Scala, and SQL skills. Hands‑on in Airflow, DBT, Kafka, Kubernetes, and data lakehouse tools.Capable of independent delivery and migration