Lead Data Engineer: Kafka, Spark & Hadoop (Remote)
Summary
Leads a remote team building and optimizing distributed data pipelines using Kafka, Spark, and Hadoop, while mentoring engineers for a long-term client engagement.
A team augmentation company is seeking a highly experienced Data Engineer Team Lead to spearhead a long-term client engagement. The role requires deep technical knowledge in distributed data processing tools like Apache Kafka, Spark, and Hadoop, along with leadership capabilities to mentor engineers and drive project success. This fully remote position offers a competitive compensation package and opportunities for professional growth. Ideal candidates will have 6+ years in data engineering and strong communication skills.