Key Responsibilities
Lead the design and implementation of reliable, scalable, and performant SaaS service data pipelines making use of modern toolsets and managed services.
Working proactively to make sure tasks get done end-to-end. Working within and across team boundaries to push tasks to completion.
Work closely with our team of data scientists and analysts, who are responsible for developing algorithms, analytical rules, and machine learning data models.
Qualifications
5+ years of experience in building highly scalable cloud-based services.
High proficiency in cloud native services (Serverless, Blob Storage, S3, Container Apps, E/AKS).
Extensive experience in designing and implementing event-driven and/or microservice services and solutions.
BSc in Computer Science from leading University or Collage.
It would be great if you also have:
Experience in building data engineering solutions.
Experience in cybersecurity solution development.
Experience in developing over Azure cloud services.
Experience creating and optimizing big data processes, pipelines, and architectures on cloud-native environments (Databricks, Synapse, EMR, ADX, HDInsight)
Proficiency with SQL, Python, and one of Java/Scala/CPP
