Data Engineering Manager

Roles & Responsibilities:

• Own and accountable for the data infrastructure vision, mission, and roadmap while championing innovation

• Develop data aspects of NocNoc strategy to ensure alignment with its business

• Consider potential technology acquisition from constant evaluation of emerging and competitive technologies

• Help stakeholders understand and use information profitably

• Coach and build the high-performing team

Requirements & Qualifications:

• Undergraduate degree or above in Computer Engineer, Computer Science, Statistics, or related field

• Experience ETL data pipelining for general consumption and machine learning purposes

• Experience developing data lakes, data warehouses, data marts, streamlining data usage for multiple stakeholders

• Experience developing data monitoring, data quality, and threshold measuring data qualification. (Correctness, completeness, accuracy, freshness, and availability)

• Experience in BI/AI tools (i.e. R, Python, Tableau, Power BI)

• Experience with AWS cloud services: EC2, RDS, DocumentDB, OpenSearch, Redshift, EMR, EKS

• Experience in open-source visualization tools such as Apache SuperSet

• Experience in distributed SQL query engines for Big Data such as Trino

• Experience with object-oriented/object function scripting languages: Python, Scala, etc.

• 5+ years of technical experience, with significant involvement in product management, developing, implementing, and supporting scalability of data infrastructure

• 2+ years of experience in scaling and managing teams