- Commercial experience leading on client-facing projects, including working in close-knit teams

- 3+ years of experience and interest in Big Data technologies (Hadoop / Spark / NoSQL DBs)

- 3+ years of experience working on projects within the cloud ideally AWS or Azure

- 5+ years of experience working with streaming architectures and patterns like Kafka, Kinesis, Flink, or Confluent

- Experience with open source tools like Apache Airflow and Griffin

- Experience with DevOps and DataOps patterns and tools like Jenkins, Kubernetes, Docker, and Terraform

- Data Warehousing experience with cloud products like Snowflake, Azure DW, or Redshift

- Experience building operational ETL data pipelines across a number of sources, and constructing relational and dimensional data models

- Experience with one or more ETL/ELT tools like Talend, Matillion, FiveTran, or Alooma

- Experience building automated data quality and testing into data pipelines

- Experience with AI, NLP, Machine Learning, etc. is a plus

- Strong development background with experience in at least two scripting, object oriented or functional programming language, etc. SQL, Python, Java, Scala, C#, R

- Experience working on lively projects and a consulting setting, often working on different and multiple projects at the same time

- Excellent interpersonal skills when interacting with clients in a clear, timely, and professional manner.

- A deep personal motivation to always produce outstanding work for your clients and colleagues

- Excel in team collaboration and working with others from diverse skill-sets and backgrounds