Job Description

Role : Data Engineer – Big Data
Location: Dublin
Travel:40-80%%
You must be eligible to work in Ireland to apply for this role.
 
Introduction:
 
Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions—underpinned by the world’s largest delivery network—Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With approximately 373,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at www.accenture.com.
 
Join Accenture and help transform leading organisations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance.
 
The digital revolution is changing everything.  It’s everywhere – transforming how we work and play.  Are you reacting to the disruption each day or are you leading the way as a digital disrupter? Accenture Digital is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries.  At the forefront of digital, you’ll create it, own it and make it a reality for clients looking to better serve their connected customers and operate always-on enterprises.  Join us and become an integral part of our experienced digital team with the credibility, expertise and insight clients depend on. 
 
What responsibilities will you have?
  • Designing and implementing modern, scalable data pipelines for our clients leveraging Hadoop, NoSQL, Apache open source and emerging technologies, covering on-premise and cloud-based deployment patterns
  • Providing advisory services and thought leadership on the selection and deployment of commercial and open source tools to process streaming, micro-batch and low latency workloads
  • Designing and implementing data access patterns and data pipelines on Hadoop and NoSQL platforms leveraging agile, DevOps, continuous integration and continuous delivery approaches
  • Provide innovative design and deployment approaches that leverage the best of innovations in in-memory processing, agile delivery, automated testing, containerisation etc. to enhance the speed and flexibility of testing analytics hypotheses and apply machine learning at scale
  • Working closely with technology partners, Accenture Technology Labs and Innovation centres to incubate emerging technologies and build prototypes/demos to enhance our data engineering codebases and frameworks
  • Supporting hackathons which allow us to work with publicly available data and open source tools to create new data engineering patterns and codebases
  • Mentoring the next wave of data engineers and providing your skills and experience to enable clients to modernise their existing data pipelines

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Qualifications

What skills & experience are we looking for?
 
We are looking for people who can complement our team with a demonstrable, hands-on range of skills out of the following:
  • Processing frameworks & programming tools: Spark (Scala/Python/Java), Kafka, Flink
  • Agile and DevOps delivery practices: familiarity with agile and DevOps delivery and deployment methodologies, experience with continuous integration, automated code reviews and regression testing using tools such as Atlassian Jira, Confluence, Cloudbees Jenkins, Selenium Grid, SonarQube and Docker
  • Data modelling & data pipeline design: iterative data pipeline development from raw, curated, integrated to published data, with fit for use data modelling on Hadoop and NoSQL platforms
  • Data wrangling: Trifacta, Paxata, Datameer, Tamr, Alteryx etc.
  • Design skills: data product design thinking, features definition, prototyping, usability testing and data visualisation literacy
  • APIs & Datatypes: experience working with RESTful APIs (including Cortana, Watson, TensorFlow), JSON, XML, unstructured data
  • Machine Learning tools, interfaces & Libraries: R, R-Studio, Spark R, sparklyr, MLlib, H2O etc.
  • Hadoop platforms & distributions: Cloudera, Hortonworks, BigInsights, MapR, EMR
  • NoSQL: HBase, Cassandra, MongoDB, CouchDB, Memchached, DynamoDB, Druid, BigTable
  • Search: SOLR, ElasticSearch
  • Cloud platforms: AWS, Azure, GCP
  • Relational DBs: Teradata, Oracle, Netezza, SQL Server
  • Enterprise data integration, BI and analytics platforms: Informatica, Talend, InfoSphere, SAS, RevoR, QlikView, Qlik Sense, Tableau, Spotfire, D3.js
  • Other tools, databases and Apache projects: Google BigQuery, Presto, Drill, Kylin, OpenTSDB etc.
  • Solution architecture: end to end analytics solution architecture design and delivery estimation
  • Client facing skills: ability to build trusted relationships with client stakeholders and act as a trusted adviser
  • #AccentureAnalytics18
Please share any code repository you have created with sanitized codebase/sanitized examples of code you have developed as part of your application, if available.
 
What personal qualities do we expect?
  • Proven ability to apply analytical and creative thought
  • Proven ability to deliver high profile activities to tight timescales
  • Proven success in contributing to a team-oriented environment
  • Experience delivering projects within an agile environment
  • Excellent leadership, communication (written and oral) and interpersonal skills
  • Keenness to learn and try new things
  • Willingness to travel
  • Ideally, educated to degree level
What’s in it for you?
  • Your entrepreneurial spirit and vision will be rewarded, and your success will fuel opportunities for career advancement.
  • You’ll make a difference for some pretty impressive clients. Accenture serves many of the FTSE 100 on high-profile projects.
  • Opportunities to learn daily through training, assignments and collaboration with experts across the company.
  • Access to leading-edge technology.
 
About Accenture
 
Please note that Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, or gender identity.
 
Accenture reserves the right to close the role prior to this date should a suitable applicant be found.

All employment decisions shall be made without regard to age, race, creed, colour, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as applicable by law.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

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