Description
Job Title: Data Architect - Abinitio (with cloud experience)
Location: Work from Home/ Remote
Shift Time: India General Shift
About the Role:
Our Cloud Data Services Team is looking for a skilled Data Architect (Abinitio) for a customer-facing role. In this position, you will work with cutting-edge technologies and tools to build, optimize, and maintain large-scale data processing frameworks on the cloud. You'll collaborate with customers to design and deliver efficient, scalable data solutions.
Key Responsibilities:
Leverage AWS services (S3, EMR, Athena, Glue) or equivalent cloud platforms for data storage and processing.
Proficiency with AbInitio product suite , including experience in PDL, Meta-programming, Conduct>It, Express>It, and GDE-based development.
Implement and maintain CI/CD pipelines using tools like Jenkins and GitHub.
Work with schedulers such as Apache Airflow to automate workflows and data pipelines.
Automate tasks and processes using Python, shell scripting, and other relevant programming languages.
Develop, troubleshoot, and optimize PL/SQL queries for complex data workflows.
Work extensively on Big Data platforms like Hadoop and Hive to process large datasets.
Drive the development of large-scale, self-service enterprise data frameworks.
Exposure to open table formats like Iceberg is highly desirable.
Job Title: Data Architect - Abinitio (with cloud experience)
Location: Work from Home/ Remote
Shift Time: India General Shift
About the Role:
Our Cloud Data Services Team is looking for a skilled Data Architect (Abinitio) for a customer-facing role. In this position, you will work with cutting-edge technologies and tools to build, optimize, and maintain large-scale data processing frameworks on the cloud. You'll collaborate with customers to design and deliver efficient, scalable data solutions.
Key Responsibilities:
Leverage AWS services (S3, EMR, Athena, Glue) or equivalent cloud platforms for data storage and processing.
Proficiency with AbInitio product suite , including experience in PDL, Meta-programming, Conduct>It, Express>It, and GDE-based development.
Implement and maintain CI/CD pipelines using tools like Jenkins and GitHub.
Work with schedulers such as Apache Airflow to automate workflows and data pipelines.
Automate tasks and processes using Python, shell scripting, and other relevant programming languages.
Develop, troubleshoot, and optimize PL/SQL queries for complex data workflows.
Work extensively on Big Data platforms like Hadoop and Hive to process large datasets.
Drive the development of large-scale, self-service enterprise data frameworks.
Exposure to open table formats like Iceberg is highly desirable.
