
Driving Business Transformation through Data Leadership
1 week ago
We are seeking a seasoned data engineer to join our team. The ideal candidate will have a proven track record of leading data engineering teams and managing cross-team collaboration.
- Proven experience in leading data engineering teams, including distributed teams across multiple geographies and time zones.
- Effective leadership skills for managing cross-team collaboration with architects, product managers, and operations.
- Proficiency in Scala and Python programming languages.
- Expertise in Apache Spark (batch & streaming) – must have.
- In-depth knowledge of HDFS internals and migration strategies.
- Experience with Apache Iceberg (or similar table formats like Delta Lake / Apache Hudi) for schema evolution, ACID transactions, and time travel.
- Hands-on experience with running Spark and/or Flink jobs on Kubernetes (e.g., Spark-on-K8s operator, Flink-on-K8s).
- Experience with distributed blob storages like Ceph or AWS S3.
- Building ingestion, transformation, and enrichment pipelines for large-scale datasets.
- Infrastructure-as-Code (Terraform, Helm) for provisioning data infrastructure.
A leading provider of technology consulting, platform and product engineering, and advanced analytics services. We enable positive business outcomes for enterprise companies undergoing business transformation by solving their most pressing technical challenges.
Our expertise lies in enterprise AI, supported by profound knowledge and ongoing investment in data, analytics, cloud & DevOps, application modernization, and customer experience. With over 7+ years of experience, we are headquartered in Silicon Valley with offices across the Americas, Europe, and India.
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