Spark/Real-Time Analytics Consultant

Job description

Schedule: Full-Time
Organization: Digital Growth Platform - Digital Analytics Consulting
Travel: 80% (Monday - Friday)
Position: Spark/Real-Time Analytics Consultant

Join Accenture Digital and leave your digital mark on the world, enhancing millions of lives through digital transformation. Where you can create the best customer experiences and be a catalyst for first-to-market digital products and solutions using machine-learning, AI, big data and analytics, cloud, mobility, robotics and the industrial internet of things. Your work will redefine the way entire industries work in every corner of the globe.

You'll be part of a team with incredible end-to-end digital transformation capabilities that shares your passion for digital technology and takes pride in making a tangible difference. If you want to contribute on an incredible array of the biggest and most complex projects in the digital space, consider a career with Accenture Digital.

YOUR ROLE: Digital Analytics Consultant – Spark/Real-Time Analytics Consultant

There will never be a typical day at Accenture Analytics, but that's why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing digital landscape. Here are just a few of your day-to-day responsibilities.

· Deliver large-scale programs that integrate processes with technology to help clients achieve high performance.
· Design, implement and deploy custom applications on Hadoop.
· Implementation of complete Big Data solutions, including data acquisition, storage, transformation, and analysis.
· Design, implement and deploy ETL to load data into Hadoop.

Desired profile

Qualifications :

YOUR EXPERIENCE: Basic Qualifications

·  Minimum 1 year of building and coding applications using at least two Hadoop components – MapReduce, HDFS, Hbase, Pig, Hive, Spark, Scoop, Flume, etc
·  Minimum 1 year coding one of the following: Python, Pig programming, Hadoop Streaming, HiveQL
·  Minimum 1 year understanding of 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
·  Minimum 1 year of experience implementing large scale cloud data solutions using Cloud Service Providers: AWS data services (e.g. EMR, Redshift, GLUE) or Azure (Data Lake Store/Analytics, SQL Data Warehouse) or Google Cloud Platform Google Cloud (Big Data: Big Query, Big Insights)
·  Minimum 1 year of experience delivering an operational Big Data solution using one or more of the following technologies: Hadoop, HortonWorks, Cloudera, Cassandra

OR 

·  Minimum 1 year of experience throughout the SDLC of a Hadoop implementation technologies including HortonWorks, Cloudera, Hive, Pig, MapReduce 
OR 

·  Minimum 1 year of experience throughout the SDLC of a HortonWorks, Cloudera, Cassandra / Hbase implementation 
·  Minimum of a Bachelor's Degree or 3 years IT/Programming experience

SET YOURSELF APART: Preferred Qualifications

·  Minimum 1 year of experience developing REST web services
·  Industry experience (financial services, resources, healthcare, government, products, communications, high tech)
·  Experience leading teams
·  Machine Learning tools, interfaces & Libraries: R, R-Studio, Spark R, sparklyr, MLlib, H2O etc.
·  Experience with other tools, databases and Apache projects: Google BigQuery, Presto, Drill, Kylin, OpenTSDB, Spark Streaming
·  Enterprise data integration, BI and analytics platforms: Informatica, Talend, InfoSphere, SAS, RevoR, QlikView, Qlik Sense, Tableau, Spotfire, D3.js
·  Processing frameworks & programming tools: Spark (Scala/Python/Java), Kafka, Flink
·  Client facing skills: ability to build trusted relationships with client stakeholders and act as a trusted adviser

OUR COMMITMENT TO 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. Our Analytics practice serves many of the Fortune Global 100 on high-profile projects.
·  Opportunities to learn daily through training, assignments and collaboration with experts across the company.
·  Access to leading-edge technology.
·  Along with a competitive salary, Accenture offers a comprehensive package that includes generous paid time off, 401K match and an employee healthcare plan. Learn more about our extensive rewards and Benefits

CALL TO ACTION

Now is the time to become a digital disrupter. The opportunity is here—what's stopping you from pursuing it?

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Accenture is an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.

Equal Employment Opportunity:

All employment decisions shall be made without regard to age, race, creed, color, 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 protected by federal, state, or local law. Job Candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

Accenture is committed to providing veteran employment opportunities to our service men and women.