Data Engineer
You have experience with client projects and in handling vast amounts of data – working on database design and
development, data integration and ingestion, designing ETL architectures using a variety of ETL tools and
techniques. You are someone with a drive to implement the best possible solutions for clients and work closely
with a highly skilled Data Science team. Lead on projects from a data engineering perspective, working with our
clients to model their data landscape, obtain data extracts and define secure data exchange approaches
? Plan and execute secure, good practice data integration strategies and approaches
? Acquire, ingest, and process data from multiple sources and systems into Big Data platforms
? Create and manage data environments in the Cloud
? Collaborate with our data scientists to map data fields to hypotheses and curate, wrangle, and
prepare data for use in their advanced analytical models
? Have a strong understanding of Information Security principles to ensure compliant handling and
management of client data
? This is a fantastic opportunity to be involved in end-to-end data management for cutting edge
Advanced Analytics and Data Science
Qualifications:
? 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
? 3+ 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
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