Interface with internal data platform design engineering team to build data pipelines, integrations, modeling and ensure data operations in the IT Cloud framework.
Interface with internal data platform design engineering team to build data pipelines, integrations, modeling and ensure data operations in the IT Cloud framework.
Directly support operational ETL issues by trained our experts, executing complex operating procedure reviews, including critical case handling, and documentations.
Work on concurrent projects, sometimes in multiple geographical regions.
Takes responsibility to understand high level business processes, system design/function and its related integration.
Builds productive working relationships by having close follow-up and collaboration with IT team and partners.
Applies sound judgement and escalates where necessary. Provides clear and regular communication to end users and co-workers via oral and written communications.
To assist team members on daily routine task for support and reporting
To assist team on research/tasks relating to knowledge management and process improvements (if any)
Qualifications
Pursuing a bachelor's degree in IT, Computer Science or equivalent
Available for the duration of the internship period (4-6 months)
Knowledge in AWS Data Lake, Data mesh, Data fabric & Data Bricks will be an added advantage
Knowledge in Python, Glue, Airflow, ML, AI/Gen AI will be an added advantage
