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Senior DataOps Engineer

Trust In Soda
Job LocationCamden (London Borough)
EducationNot Mentioned
Salary£80,000 - £95,000 per annum
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent, full-time

Job Description

A London based exciting FinTech firm is currently looking for a talented Data specialist to join their team of exceptional individuals, as they look to expand operations globally. The companys mission is to build world class products enabled by great technology, people and processes.The Senior Data Specialist will be responsible for working with the existing data platforms teams to design, build and manage automated software deployment solutions and environments in AWS.The Data Specialist will work with Data Engineers, Designers, Front-End Engineers and Data Scientists to deliver secure, performant and maintainable data environments. They will use best-practice continuous integration and continuous deployment methodologies to ensure that the build and deployment pipelines are fast, robust and secure. They will champion good code quality and DevOps practices.Desired Skills and Experience includes:ESSENTIAL

  • Good knowledge on jupyter notebook, Airflow
  • Knowledge of AWS infrastructure & services
  • AWS tools like Redshift, Glue, EC2, RDS, S3, Lambda, EMR, Batch or Athena
  • AWS Landing Zone Experience, AWS SCP, IAM and EMR
  • Exposure to Continuous Integration & Deployment methodologies
  • Good knowledge of computer networks including cloud networks, transit gateway and VPCs
  • Excellent Linux scripting skills
  • Solid experience of Terraform, Ansible, terragrunt, git flow
  • Strong Python coding skills
  • experience with SQL and NoSQL technologies
    • DESIRABLE
  • Orchestrate the build and deployment of a container environment
  • Kubernetes experience
  • Dremio Experience
    • Key Responsibilities for the Data Specialist role include:
  • Designing, building and managing secure integration and deployment pipelines for Data Engineering products.
  • Ensuring all steps in these processes are automated and observable.
  • Recommend and test new data structures, and physical data layouts, to improve throughput and performance.
  • Working with Data Engineers, Data Science, Front-End Engineers and Analyst roles, as well as existing business analysts, to deliver computational environments that meet the needs of the developers and users.
  • Data engineering skills, ensuring code quality and perform code reviews, designing/creating large datasets/data models, exposure to big data technologies (hadoop), ETL and data pipeline skills
    • Personal Attributes
  • Takes pride in ownership of work, e.g. effective automation pipelines
  • Cares about improving the productivity of the other team members
  • Likes to work iteratively, start simple and add-in complexity
  • Self-motivated, able to work in a high-pressure environment
  • Persistence and dedication to finish things out
  • Strong organisational, planning and time management skills
  • Ability to build strong and effective working relationships on an ongoing basis

    • APPLY NOW

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