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 🌱.