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Systems Reliability Engineer- 100 Remote Outside IR35

Trust In Soda
Job LocationManchester
EducationNot Mentioned
Salary500.00 - 600.00 per day
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypeContract , full-time

Job Description

Systems Reliability Engineer - Data Pipelines

  • Location: 100% remote - candidates must be located in Europe or UK
  • Rate: 500 - 595 Euros per day
  • Start date: ASAP
  • End date 30th December 2022 - Very Likely to be extended
  • Full time 8 hours per day - 5 days per week
  • OUTSIDE IR35
Im currently working with a global leading e-commerce brand to find a Software Engineer with strong Python development skills and experience supporting Data Pipelines with knowledge of SQL and Data engineering. This person will join a high performing teamwho are working on a huge cloud migration Project.Responsibilities:
  • Proactively manage delivery of service level objectives for Data Pipelines and related Systems
  • Implement early warning, detection and self healing systems
  • Facilitate emergency and Incident response
  • Provision and automate deployment infrastructure for Data Pipelines and related systems.
  • Designing and implementing tools to optimize processes and simplify your work
  • Collaborate with teams to troubleshoot issues and propose solutions
  • Actively contribute to the adoption of strong software architecture, development best practices, and new technologies. We are always improving the process of building software; we need you to help contribute.
  • Be part of a follow the sun model to ensure Data Pipelines and Infrastructure reliability
Requirements:
  • 3+ years of software development experience in Python
  • Strong knowledge of SQL and data warehousing concepts
  • Deep understanding of Linux/Unix Operating systems
  • Experience with any scheduling tools such as Airflow, Control-M, Opswise & Job scheduler etc is a plus.
  • Desire to troubleshoot problems and automate solutions
  • Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations.
  • Knowledge of cloud platforms, such as AWS and GCP is a
  • Experience in ETL Development &
  • Work with big data and distributed systems using technologies such as Hadoop, Hive and Spark.
  • Experience with Terraform is a
  • Work in a fast paced environment and collaborate with multiple

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