Sr. Data Analytics Engineer - Zapopan, México - Oracle

Oracle

Empresa verificada

Zapopan, México

hace 1 semana

Publicado por:

Rodrigo Fernández

Reclutador de talento para beBee

Descripción

Data Analytics Engineer
Why Oracle NetSuite Global Business Unit (NSGBU)?

One word — transformation.

At Oracle NetSuite Global Business Unit (NSGBU) we believe the cloud is here to stay and so do our 20,000+ customers.

We believe businesses should not be bogged down by the overhead of bulky data centers and expensive personnel to run it all.

Businesses need to be lean, efficient and agile.

NetSuite is literally transforming business around the globe by providing a cloud-based, unified system that delivers unprecedented capabilities to drive business forward.

Founded in 1998 as THE cloud ERP pioneer, today NetSuite has transformed the business operations of our customers without the high costs and inefficiency of on-premise systems.

Transform your career at NetSuite.

At NetSuite we work hard, and we work smart. We hire fierce competitors. We hire individuals that are fearless trail blazers.

NetSuite employees take the hill, we prefer action over inaction, we are tireless in our mission and we pause only to celebrate our success.

And we DO celebrate, because if you don't have fun along the way, then what's the point?

This position is for a Data Analytics Engineer in NetSuite's "Operations: Reporting and Analytics team".

As a key member of the team, you will design and deliver scalable Data Analytics and Platform solutions that support critical operational activities at NetSuite.

Responsibilities:

Ingesting data into Elasticsearch, Data Warehouse.
Build pipelines to pull data from multiple data streams.
Build modules to extract, transform and load into Central Data Store.
Model raw data into datasets that enable analytics across the organization.
Build Analytics and Reporting solutions, like Dashboards, Metrics, KPIs, that enable stakeholders to do their jobs effectively and answer their own questions.
Build and maintain Software Defined Infrastructure to build and maintain Analytics platform. Train and guide resources as needed.

Requirements:

5+ years' Data Engineering or Data Science experience.
Experience or familiarity with Cloud ecosystems (OCI, AWS, etc.)
Experience with Analytics tools like Oracle Analytics, Tableau, Power BI etc.
Familiarity with Big Data technologies, Data Warehousing design concepts and Database technologies.
Familiarity with DevOps tools and technologies such as GIT, Jenkins, Nexus, and CI/CD pipeline.
3+ years of working knowledge of Python, Databases and SQL language.
Experience with Terraform, Docker, Consul is a plus.
Experience working as part of a data team; preferably as either a data analyst or data engineer.
Always ready to try new tools, concepts and build POC models.