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![IBM](https://media.trabajo.org/img/noimg.jpg)
Data Engineer
vor 1 Monat
Introduction
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
Your Role and Responsibilities
Data Engineer
IBM Global Business Services (GBS) is a team of business, strategy and technology consultants enabling enterprises to make smarter decisions and providing unparalleled client and consumer experiences in cognitive, data analytics, cloud technology and mobile app development.
With global reach, outcome-focused methodologies and deep industry expertise, IBM GBS empowers clients to digitally reinvent their business and get the competitive edge in the cognitive era in over 170 countries.
Locally, we are looking for a Data Engineer to join our growing team of data and analytics experts in the data Platform Services Practice. The role requires expanding and optimising client's data and data pipeline architecture, as well as optimising data flows and collection for cross functional teams.
The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimising data systems and building them from the ground up.
The Data Engineer will support our software developers, database architects, data analysts and data scientists on client projects and will ensure optimal data delivery architecture is consistent throughout ongoing projects.
They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products.
The right candidate will be excited by the prospect of optimising or re-designing our clients' data architecture to support the next generation of products and data initiatives.
Responsibilities for Data Engineer
Create and maintain optimal data pipeline architecture,
Assemble large, complex data sets that meet functional / non-functional business requirements.
Identify, design, and implement internal process improvements: automating manual processes, optimising data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
Build analytics tools that utilise the data pipeline to provide actionable insights to meet client key business performance metrics.
Work with IBM and client stakeholders including the Project Managers, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
Qualifications for Data Engineer
Develops applications on Data and Cognitive technologies including API development
Expected to have traditional Application Development background along with knowledge of Analytics libraries, open-source Natural Language Processing, statistical and data computing libraries.
Strong technical abilities to understand, design, write and debug complex code.
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Experience building and optimising data pipelines, architectures and data sets.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Strong analytic skills related to working with unstructured datasets.
Build processes supporting data transformation, data structures, metadata, dependency and workload management.
A successful history of manipulating, processing and extracting value from large disconnected datasets.
Working knowledge of message queuing, stream processing, and highly scalable data stores.
Strong project management and organizational skills.
Experience supporting and working with cross-functional teams in a dynamic environment.
We are looking for a candidate with 4+ years of experience in a Data Engineer role.
Skills include Python, Spark, Kafka, Hadoop, NoSQL, HBase, HIVE, PIG, C++, SQL, Linux, Java, EAI, SOA, CEP, HDFS, ETL
Must Have
Ability to travel extensively, at short notices and perhaps extended time periods
Must have self-drive to lead initiatives and multitask
Permanent residency to live and work in Australia
Ready to join us?
To be part of a diverse and global team of thinkers and leaders - people who want to make an impact, share their expertise and collaborate with some of the world's top business and technology professionals. Keep reading.
Sign Me Up
If you tick these boxes and are ready to start your next challenge with a career at IBM - click 'Apply' today. To find out more, head to www.ibm.com.au/careers
GBSskills_ANZ
Required Technical and Professional Expertise
Ability to incorporate a variety of statistical and machine learning techniques
Basic understanding of Cloud (AWS,Azure, etc)
Ability to use programming languages like Java, Python, Scala, etc., to build pipelines to extract and transform data from a repository to a data consumer
Ability to use Extract, Transform, and Load (ETL) tools and/or data integration, or federation tools to prepare and transform data as needed.
Ability to use leading edge tools such as Linux, SQL, Python, Spark, Hadoop and Java
Preferred Technical and Professional Expertise
Basic understanding or experience with predictive/prescriptive modeling skills
You thrive on teamwork and have excellent verbal and written communication skills.
Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions
Ability to ask business and industry questions to identify appropriate modeling techniques
Ability to communicate results to technical and non-technical audiences
About Business UnitIBM Services is a team of business, strategy and technology consultants that design, build, and run foundational systems and services that is the backbone of the world's economy. IBM Services partners with the world's leading companies in over 170 countries to build smarter businesses by reimagining and reinventing through technology, with its outcome-focused methodologies, industry-leading portfolio and world class research and operations expertise leading to results-driven innovation and enduring excellence.
Your Life @ IBMIn a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.
Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.
Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.
Are you ready to be an IBMer?
About IBMIBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.
Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business.
At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.
Location StatementFor additional information about location requirements, please discuss with the recruiter following submission of your application.
Being You @ IBMIBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.