Lead, mentor, and grow a team of 6–10 software and data engineers, fostering a culture of collaboration and engineering excellence
Job Summary
Lead, mentor, and grow a team of 6–10 software and data engineers, fostering a culture of collaboration and engineering excellence.
Define and execute the technical roadmap for data processing infrastructure and design and build scalable data pipelines for structured, semi-structured, and unstructured data.
Establish monitoring, alerting, and observability frameworks for data systems and ensure compliance with data governance, privacy, and security standards.
Matching Summary
Lead, mentor, and grow a team of 6–10 software and data engineers, fostering a culture of collaboration and engineering excellence.
Skills & Requirements
Must-have
Data processing frameworks (Spark, Kafka, Flink)
Cloud platforms (AWS, GCP, Azure)
Data engineering and distributed systems
Building and scaling data infrastructure
Batch and streaming data architectures
DevOps best practices and automation
Nice-to-have
Experience with unstructured data
Familiarity with AI/ML data pipelines
Exposure to vector databases
Contributions to open-source projects
Key Requirements
8+ years in data engineering or distributed systems