Experienced with a diverse set of data technologies (for example, but not limited to: Redshift, Elastic Search, PostgreSQL, Spark, Kafka, Hadoop, Airflow, Docker/Kubernetes)
Fluency in SQL, Java, Python, or equivalent
Experienced in setting up and managing cloud services in at least one of the major cloud solutions providers (AWS, GCP, Azure, or AliCloud)
Able to benchmark systems, analyze performance and bottlenecks and propose solutions to resolve them.

Personal Skills

Excellent written and verbal communication, able to switch between technical and plain language when discussing work
Able to plan and schedule work in cooperation with project and product managers
Able to work in teams, understand and empathize with all major stakeholders, take the lead on initiatives and direct and manage data engineers
Able to work in a fast-paced agile development environment

Requirements

1 - 2 years of experience in building highly available distributed computing systems and data pipelines at scale
Proven experience in designing large data warehouses, high performance data processing pipelines, and developing ETL tools or equivalent
Able to clearly articulate pros and cons of different technologies, solutions and platforms
Able to document use cases, solutions and recommendations
Understanding of software design principles and best practices (test driven development, source control management etc)

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Data Engineer