Big Data Engineer Lead
Location:
Remote
Posted:
February 27, 2017
Reference:
00413403
  • 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
  • Minimum 2 years designing and implementing relational data models working with RDBMS
  • Minimum 2 years working with traditional as well as Big Data ETL
  • Minimum 2 years of experience designing and building  REST web services
  • 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 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
  
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.

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
 
 

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