Senior II Data Engineer
- India
نُشرت قبل 5 أيام
عن الوظيفة
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.
- Act as the primary go-to expert and technical consultant for process changes and technical roadmaps within Finance systems.
- Do what you love!
To be successful in this role you will:
- 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.
- Be a proactive, curious problem solver with strong communication skills and the ability to explain technical designs and roadmaps to business stakeholders.
Work in a way that works for you
We recognize that everyone is different and that the way in which people want to work and deliver at their best is different for everyone.
We are happy to discuss flexible working options in this role, please discuss your requirements with the recruiter when you apply.
Working with us
At Akamai, we’re curious, innovative, collaborative and tenacious. We celebrate diversity of thought and we hold an unwavering belief that we can make a meaningful difference. Our teams use their global perspectives to put customers at the forefront of everything they do, so if you are people-centric, you’ll thrive here.
Working for you
At Akamai, we will provide you with opportunities to grow, flourish, and achieve great things. Our benefit options are designed to meet your individual needs for today and in the future. We provide benefits surrounding all aspects of your life:
- Your health
- Your finances
- Your family
- Your time at work
- Your time pursuing other endeavors
Our benefit plan options are designed to meet your individual needs and budget, both today and in the future.
About us
Innovating on a global scale, we deliver our customers a fast, smart and secure intelligent edge platform. 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.