• Member of Technical Staff - OCI Big Data Group Jobs in United States Of America - 25302131

  • United States Of America, Usa
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  • 4 - 7 Years
  • Posted : above 1 month

Job Description:

Member of Technical Staff - OCI Big Data Group - 19000WDY

Preferred Qualifications

Oracle Cloud Infrastructure - OCI

Sr Member of Technical Staff or Principal Member of Technical Staff

The Oracle Cloud Infrastructure (OCI) team can provide you the opportunity to build and operate a suite of massive scale, integrated cloud services in a broadly distributed, multi-tenant cloud environment OCI is committed to providing the best in cloud products that meet the needs of our customers who are tackling some of the worlds biggest challenges

We offer unique opportunities for smart, hands-on engineers with the expertise and passion to solve difficult problems in distributed highly available services and virtualized infrastructure At every level, our engineers have a significant technical and business impact designing and building innovative new systems to power our customers business critical applications

Oracle Big Data Overview

SQL relational data has been fundamental to computing within the business context for the last 30 years It has been table stakes for running any modern business Transactional systems have powered enterprise data management, e-commerce, and were the initial engines for the Internet era

As compute technology has expanded, internet services have exploded and massive amounts of data have become available Multi-structured data from machine sensors, connected devices, click streams, system logs, etc, all with the potential of affording the business significant value needs to be collected, processed and analyzed However, this data does not fit well into the relational paradigm, in part because it often requires scale-out capability going from terabytes of data to petabytes making it unsuitable for traditional data management systems

These new sources of data drove new SQL - no SQL development, new no SQL databases, and also systems such as Hadoop that have become popular over the last three to five years Fundamentally, enterprises really want and need to derive value out of the data for the business; often times as a combination of traditional and new data sources Once joined, this combination can provide new insights and be mined with technologies like machine learning and artificial intelligence

In short, this is what were aiming for with the next generation of Big Data technology Oracles vision overall is simple and straightforward

Manage both the traditional and the new data sets together on a single cloud platform

Leverage cloud object storage as the primary data means to store data

Allow any user to work with any kind of data quickly, securely, and efficiently

Provide an Oracle managed platform where customers can focus on value vs infrastructure provisioning and maintenance

At a high level, the key requirements for this platform include

Ability to integrate various datasets across disparate data sources

Enable discovery, lineage, governance of all enterprise data

Offer high performance compute infrastructure with the appropriate compute capabilities to easily process, analyze and visualize all data under management

Use of ML and AI as an integrated part of the cloud services to serve thousands of customers while maintaining a reasonable spend

The Oracle Big data platform already has key offerings supporting both the vision and the requirements

Big Data Cloud a Hadoop centric platform offering traditional Hadoop technologies such as MapReduce and Hive in addition to Spark, Alluxio

Event Hub a Kafka based messaging platform serving as a pillar for data ingest, eventing and inter process communication

Data Integration Platform a complete platform offering a broad range of capabilities for data integration ranging from ingest, replication, ETL and data quality

Some of these services are being re-envisioned to be more closely aligned with the overall OCI platform as well as better align with the cloud data lake use cases The services currently under development include

Data Flow an autonomous serverless cloud service offering Apache Spark on the cloud This will form the foundational execution engine for SQL on data lake, batch and big data workloads

Data Catalog a service integrated with all Oracle data services to provide a metadata based services required for data governance, lineage and discovery; a key ingredient of any data lake offering

On top of this, there are several initiatives underway to offer cutting edge data processing capabilities that are unique to Oracle which can be shared in person

In the last year, Oracle has acquired two important companies to help round out the Big Data Platform datasciencecom and SparkLine Data

Datasciencecom offers a complete data scientist workbench for authoring, managing and deploying machine and deep learning Hundreds of data science teams use the platform to organize work, easily access data and computing resources, and execute end-to-end model development workflows We see the dataSciencecom platform as key to improving productivity, reduce operational costs and deploy machine learning solutions faster and effortlessly

Sparkline Data offers a unique to the industry technology for building terabyte scale data-warehouses designed to work with modern distributed computing frameworks such as Apache Spark

Our strategy is built around using the best of open source software optimized for the cloud Our team already consists of PMC members, committers and contributors across a broad range of open source projects These team members that are key to delivering on our strategy

The initial rollout of the product strategy will be in place calendar year 2019 with production availability of Data Flow, Data Catalog, Data Integration and Data Science cloud services IN the foreseeable future, service teams will be working on advancing the capabilities of individual services in while ensuring that customer use cases are in focus

The intersection of [a real] cloud, big data and machine learning make the new Oracle a very exciting place to work and an affords newcomers an opportunity to have a material impact on products and services being developed as well as an awesome opportunity to work on one of the few full scale Cloud operations still in progress

Detailed Description and Job Requirements

Design, develop, troubleshoot and debug software programs for databases, applications, tools, networks etc

As a member of the software engineering division, you will assist in defining and developing software for tasks associated with the developing, debugging or designing of software applications or operating systems Provide technical leadership to other software developers Specify, design and implement modest changes to existing software architecture to meet changing needs

Duties and tasks are varied and complex needing independent judgment Fully competent in own area of expertise May have project lead role and or supervise lower level personnel BS or MS degree or equivalent experience relevant to functional area 4 years of software engineering or related experience

Oracle is an Equal Employment Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law

Job Product Development

Location US-CA,California-Redwood City

Other Locations United States

Job Type Regular Employee Hire

Organization Oracle

Profile Summary:

Employment Type : Full Time
Eligibility : Any Graduate
Industry : Software Services, IT-Software
Functional Area : IT Software : Software Products & Services
Role : Software Engineer
Salary : As per Industry Standards
Deadline : 02nd Jun 2020

Key Skills:

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