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 Analytics team.
Play a key role on projects from a data engineering perspective, working with our Architects and clients to model the data landscape, obtain data extracts and define secure data exchange approaches.
This is a fantastic opportunity to be involved in end-to-end data management for cutting edge Advanced Analytics and Data Science
Job responsibilites :
Plan and execute secure, best 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 business analysts and data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models
Managing and monitoring the data integration process
Have a strong understanding of Information Security principles to ensure compliant handling and management of client data
Qualifications and Required Skills :
Experience and desire to work with open source and branded open source frameworks
Experience working on projects within the cloud ideally AWS, Azure, GCP or Snowflake
Experience working on agile delivery projects and a consulting setting, often working on different and multiple projects at the same time
Experience working with a variety of ETL / ELT tools like Matillion, Talend, Streamsets preferred
Strong development background with experience in at least one scripting, object oriented or functional programming language, etc.
Python, Java, Scala, C#, R, BASH
Experience working with version control tools such as GitHub, Bitbucket
Data Warehousing experience, building operational ETL data pipelines across a number of sources, and constructing relational and dimensional data models
Excellent interpersonal skills when interacting with clients in a clear, timely, and professional manner.
Desirable Skills :
Experience on client-facing projects, including working in close-knit teams
Experience working in a cloud architecture with data lake
Experience and interest in Big Data technologies (Spark / NoSQL DBs)
Experience or familiarity with real-time ingestion and streaming frameworks is a plus
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 background
Experience leading a team and driving them go deliver results