Senior Data Engineer
1 month ago
About the Role - We’re looking for Data Engineers with proven senior-level experience to join the Equal Experts network. Our Data Engineers are highly skilled in creating data pipelines for ingest, transformation and storage of data, usually at scale, and are familiar with standing-up analytics clusters. This role involves using modern agile technical practices - including Continuous Integration and Deployment, TDD, and XP - to deliver timely and pragmatic solutions, as well as helping others to do their jobs in a more effective way. This role involves working in teams that use modern agile technical practices - including continuous integration and deployment and fast feedback loops - to deliver timely and pragmatic solutions, as well as helping others to do their jobs in a more effective way.
Responsibilities -
● Working with the client and the team to determine data processing and access needs and how best to deliver them.
● Creation and support of highly available data pipelines and storage solutions (e.g. data
warehouses).
● Delivery of software using agile (pair programming, TDD, CI/CD, etc) practices.
● Automation of data infrastructure and deployments.
● Advocating agile practices to the client organisation.
● Mentoring client team members.
● Helping improve the team and clients’ data capabilities.
Required Skills
● Significant experience working on data pipelines, platforms and projects.
● Experience in developing solutions in one or more of the main Cloud providers (AWS, GCP,
Azure).
● Strong background in at least one programming language, Python or Scala preferable.
● Working with a variety of databases, data warehouses and distributed file systems in production
environments.
● Strong experience in SQL and data modelling.
● Exposure with data processing at scale.
● Knowledge about GDPR and data security.
● Working with source control and infrastructure as code (Git/Github, Terraform, ansible etc.) and CI/CD tools.
● Understanding and being able to support data scientists or business intelligence teams - in data prep, mentoring and support functions.
● Strong collaboration and communication skills, including the ability to communicate effectively while working remotely with globally distributed teams.
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