Rarefied talent in big data technology and analytics

AdWorks Hadoop Engineer

AT&T

Job Description

AT&T AdWorks is rapidly growing in expectation of becoming AT&T’s next billion dollar business. We are looking for industry veterans who revel in the prospect of building a better approach to advertising sales that utilizes the inherent strengths of the world’s largest telecommunications company. AT&T AdWorks is the face to the market for AT&T’s newest ad products across IPTV, Mobile, and Internet.

Within the AdWorks Engineering team, we’re looking for a Hadoop Engineer. The ideal candidate will be a seasoned Java programmer with strong Computer Science background (sorting, hashing, etc.), familiar with one or more functional languages (eg. Scala, Clojure), and experienced with Hadoop MapReduce in particular. He/she will also have a keen interest and/or actual hands-on experience with multiple distributed computing/storage frameworks (eg. Storm, Cassandra, HBase, Spark) as well as Hadoop-specific DSLs (eg. Scoobi, Scrunch, Cascalog), and be motivated to solve complex problems involving large (long and wide) data sets, efficiently and scalably.

Requirements

  • Languages: Java
  • Scripting languages: Perl, Python or similar
  • Algorithms: sorting, hashing, recursion, trees, graphs, etc
  • Hadoop core: MapReduce, HDFS
  • Hadoop utilities: Oozie, ZooKeeper
  • Relational algebra (SQL)
  • Unix shell programming (sh, bash, csh, zsh): pipes, redirection, process control, etc
  • Unix pipeline utilities: awk, sed, grep, find, etc
  • Unix system utilities: cron, at, kill, ssh, sftp, etc
  • Regular expressions

Desirable skills

  • Hadoop cluster administration: queues, quotas, replication, block size, decommission nodes, add nodes, etc
  • JVM-based functional languages: Scala, Clojure
  • Hadoop pipeline frameworks: Streaming, Crunch, Cascading
  • Hadoop productivity frameworks: Scrunch, Scoobi
  • Hadoop query languages: Pig, Hive, Scalding, Cascalog, PyCascading
  • Hadoop libraries: Mahout
  • Alternative HDFS-based computing frameworks: Spark (Pregel)
  • Serialization frameworks: Avro, Thrift, Protocol Buffers
  • Distributed databases: Cassandra, Voldemort, HBase, MongoDB, CouchDB
  • Real-time event streaming: Storm, S4, InfoSphere Streams (IBM)
  • Statistics, data mining or machine learning: expectation, regression, clustering, etc.

Required Qualifications -

  • Bachelor's degree in Computer Science, Telecommunications, Electrical Engineering or related field
  • 5-8 years experience in developing software applications including: analysis, design, coding, testing, deploying and supporting of applications.
  • Understand API design/development, Web Services design/development (REST, SOA, etc.)
  • Proficient in application/software architecture (Definition, Business Process Modeling, etc.)
  • Understand application/software development and design.
  • Proficient in application/software testing (Unit, Integration, System, Case Planning, Design and Execution).
  • Understand Change Control Methodology.
  • Proficient in Development Methodolgies (AGILE, ITUP, 3D, etc.)
  • Knowledge in protocols (network, software).
  • Understand Development Tools (Rational Tools, Agile Tools, simulation tools, etc.)
  • Proficient in internet technologies/programming (WSDLS, HTML, DHTML, XHML, XML, .NET, Active X, SSL, HTTP, Weblogic, Websphere, etc.).
  • Understand operating systems (Linux, Unix, Windows).
  • Understand programming languages (C, C++, Java, Javascript, Ruby, Jboss, Perl, VXML, XML, etc.).

Desired Qualifications -

  • Understanding of project management process
Interested in this position?
Job Location
San Francisco, CA
Company Website
Additional Job Details
Employment Type:
Full Time
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