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, designing and building 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 engineering
Distributed systems
Spark, Kafka, Flink, Airflow, Beam
Python, SQL, Java/Scala, Go
Cloud platforms (AWS, GCP, Azure)
Batch and streaming data architectures
Data modeling and schema design
Nice-to-have
DevOps best practices
Containerization and infrastructure tools
Unstructured data experience
AI/ML data pipelines
Vector databases and semantic search
Key Requirements
8+ years in data engineering or distributed systems