Remote Data Engineer Architect (Cloud exposure with Abinitio)

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Description:

  • The role is for a Data Architect specializing in Abinitio with cloud experience, specifically in AWS or Azure.
  • This is a customer-facing position within the Cloud Data Services Team.
  • The Data Architect will work with cutting-edge technologies and tools to build, optimize, and maintain large-scale data processing frameworks on the cloud.
  • Responsibilities include collaborating with customers to design and deliver efficient, scalable data solutions.
  • The role requires leveraging AWS services such as S3, EMR, Athena, and Glue for data storage and processing.
  • Proficiency with the AbInitio product suite is essential, including experience in PDL, Meta-programming, Conduct>It, Express>It, and GDE-based development.
  • The Data Architect will implement and maintain CI/CD pipelines using tools like Jenkins and GitHub.
  • The position involves working with schedulers such as Apache Airflow to automate workflows and data pipelines.
  • Automating tasks and processes using Python, shell scripting, and other relevant programming languages is required.
  • The role includes developing, troubleshooting, and optimizing PL/SQL queries for complex data workflows.
  • Extensive work on Big Data platforms like Hadoop and Hive to process large datasets is expected.
  • The Data Architect will drive the development of large-scale, self-service enterprise data frameworks.
  • Exposure to open table formats like Iceberg is highly desirable.

Requirements:

  • Candidates must have 7 to 17 years of experience in data architecture and engineering.
  • A strong background in cloud services, particularly AWS or Azure, is required.
  • Proficiency in the AbInitio product suite is mandatory.
  • Experience with CI/CD tools such as Jenkins and GitHub is necessary.
  • Familiarity with workflow automation tools like Apache Airflow is essential.
  • Candidates should have programming skills in Python and shell scripting.
  • Experience in developing and optimizing PL/SQL queries is required.
  • Knowledge of Big Data platforms, specifically Hadoop and Hive, is necessary.
  • Exposure to open table formats like Iceberg is a plus.

Benefits:

  • The position offers the flexibility of remote work from home.
  • Employees are part of a recognized best place to work, according to Fortune, Forbes, and Glassdoor.
  • Rackspace Technology is committed to equal employment opportunities and values diversity in the workplace.
  • The company fosters a culture of innovation and encourages unique perspectives to serve customers and communities effectively.
  • Accommodations are available for individuals with disabilities or special needs.
Apply now
Please, let Rackspace know you found this job on RemoteYeah . This helps us grow 🌱.
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