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Consult Asia is seeking an Experienced Data Engineer to design and migrate scalable data pipelines. The candidate will leverage Spark, Python and SQL to move Hive and Control-M workflows to Airflow and DBT, while integrating Kafka, Solace and cloud storage like S3/MinIO.
Kubernetes deployment ensures production-grade reliability. The ideal candidate has 6–9 years of hands-on data engineering, with proficiency in Airflow, DBT, Kafka, Kubernetes and data lakehouse tools, and can deliver
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