Vacancy description
Akamai Technologies
India, Bengaluru
Senior Data Engineer (Marketing Data Engineering) in Bengaluru, India is listed on Jobeax. Browse 30,000+ vacancies available.
Senior Data Engineer II
Join our Data Engineering, Analytics & Intelligence team
The Data Engineering, Analytics & Intelligence team is the engine behind our data-driven culture. We partner across the enterprise—from Finance (Accounting, Customer Revenue Operations, Business Finance) to Sales and Marketing—to build the robust analytical foundations that power our global operations.
As a Senior Data Engineer II you will be responsible for:
Partner with Finance leadership across Accounting, Customer Revenue Operations, and Business Finance to architect the migration and integration of systems into Oracle Cloud.
Configure and manage Oracle Fusion Extracts(BICC/RODS), Fusion Data Intelligence (FDI) data loads, semantic models, and dashboards to turn enterprise Finance data into operational intelligence.
Understand Finance business processes to lead the building and maintaining of an enterprise data catalog and empower self-service analytics.
Have 8+ years of overall experience in data engineering, data warehousing, ETL, BI, or enterprise analytics, including 3–5 years of hands-on Oracle FDI experience.
Have strong hands-on skills in Oracle SQL, PL/SQL, Oracle Database, and Oracle Data Integrator (ODI 12c/14c).
Have proven experience with Oracle Fusion data extraction using BICC and/or other supported Fusion extraction mechanisms, including large-volume file processing, full loads, incremental loads, and deletion handling.
Have hands-on expertise in FDI pipelines, Data Augmentation, semantic-model extensions, subject-area customization, and dashboard/reporting enablement.
Understand Oracle Fusion functional and data concepts across Finance (AP, AR, GL, SLA), SCM, and HCM; prior BI Applications (BIAPPS) experience is preferred.
Have experience implementing logging, monitoring, observability, data-quality validation, reconciliation, and operational support for production ETL pipelines.
Good to have: Experience with Oracle AI Data Platform (AIDP), Python, and PySpark for scalable data transformation, analytics engineering, and modern data-pipeline development.
Be familiar with automated testing, CI/CD, Git-based version control, deployment promotion, release validation, and production-support processes.
We are happy to discuss flexible working options in this role, please discuss your requirements with the recruiter when you apply.
We celebrate diversity of thought and we hold an unwavering belief that we can make a meaningful difference. At Akamai, we will provide you with opportunities to grow, flourish, and achieve great things. Working against a backdrop of digital collaboration, our highly skilled teams drive progressive solutions that have the scope to transform entertainment, business, and life in ways that we have yet to imagine.
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