Big Data Engineer Consultant

Job description

Schedule: Full-time
Organization: Analytics Business
Travel: 100% (Monday - Friday)
Position: Analytics Consulting – Big Data Engineer Consultant

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.

Accenture Digital is powered by three practices –Mobility, Interactive, and Analytics. As part of our Analytics practice, you'll deliver analytically-informed, issue-based solutions that help clients make faster, smarter decisions. You'll play a critical role in helping them tackle complex business issues.

JOB DESCRIPTION
Do you have a pulse on new technologies and a desire to change the way business gets done? Do you want to implement emerging solutions for some of the most successful companies around? If you answered yes to these questions and you are passionate about helping clients effectively manage enormous amounts of data to generate knowledge and value, then we want to meet you.

Data Engineers at the Consultant level will be responsible for architecture, design and implementation of Hadoop and NoSQL based full scale solutions that includes data acquisition, storage, transformation, security, data management and data analysis using these technologies. A solid understanding of infrastructure planning, scaling, design and operational considerations that are unique to Hadoop, NoSQL and other emerging data technologies is required. We are looking for candidates who have a broad set of technology skills across these areas and who can demonstrate an ability to identify and apply Hadoop and NoSQL solutions to challenges with data and provide better data solutions to industries.

Responsibilities include the following:
· Design and implement data management for Hadoop/NoSQL in a hybrid environment
· Design and implement large scale data architectures using Hadoop/NoSQL in a hybrid environment
· Data profiling and data analysis using emerging data technologies
· Design, implement and deploy data loaders to ingest data into Hadoop/NoSQL environments.

Desired profile

Qualifications :

Basic Qualifications
·  Bachelor's degree in Computer Science, Engineering, Technical Science or 3 years of IT/Programming experience
·  Minimum 2+ years of building and deploying applications java applications in a Linux/Unix environment
·  Minimum of 1+ years designing and building large scale data loading, manipulation, processing, analysis, blending and exploration solutions using Hadoop/NoSQL technologies (e.g. HDFS, Hive, Sqoop, Flume, Spark, Kafka, HBase, Cassandra, MongoDB etc.)
·  Minimum 1+ years of architecting and organizing data at scale for a Hadoop/NoSQL data stores
·  Minimum 1+ years of coding with MapReduce Java, Spark, Pig, Hadoop Streaming, HiveQL, Perl/Python/PHP for data analysis of production Hadoop/NoSQL applications
Preferred Skills
·  Minimum 2 years working with traditional as well as Big Data ETL tools
·  Designing and building statistical analysis models, machine learning models, other analytical modeling using these technologies on large data sets (e.g. R, MLib, Mahout, Spark, GraphX)
·  Minimum 2 years designing and implementing relational data models working with RDBMS
·  Minimum 2 years of experience designing and building REST web services
·  Minimum 1 year of experience implementing large scale cloud data solutions using AWS data services e.g. EMR, Redshift
·  2+ years of hands-on experience designing, implementing and operationalizing production data solutions using emerging technologies such as Hadoop Ecosystem (MapReduce, Hive, HBase, Spark, Sqoop, Flume, Pig, Kafka etc.), NoSQL(e.g. Cassandra, MongoDB), In-Memory Data Technologies, Data Munging Technologies
·  Architecting large scale Hadoop/NoSQL operational environments for production deployments
·  Designing and building different data access patterns from Hadoop/NoSQL data stores
·  Managing and modeling data using Hadoop and NoSQL data stores
·  Metadata management with Hadoop and NoSQL data in a hybrid environment
·  Experience with data munging / data wrangling tools and technologies
·  Client facing skills: ability to build trusted relationships with client stakeholders and act as a trusted adviser

It is our intention for our people to work where they live. However, in the context of our profession and serving our clients there may be times when you will need to travel.

All of our consulting professionals receive comprehensive training covering business acumen, technical and professional skills development. You'll also have opportunities to hone your functional skills and expertise in an area of specialization. We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom, or in collaboration with teammates. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career.
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.