AdWorks Hadoop Engineer Job Listing at AT&T in San Francisco, CA
IndustriesTelecommunications
DescriptionAT&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, Phython 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 -
Desired Qualifications -
Apply on Company Website |
Get alerts for jobs like this:View similar jobs:
Agile Project Manager - San Francisco, CA
Lexmark - San Francisco, CA
Sr Member of Technical Staff
AT&T - San Ramon, CA
Third Assistant Engineer
Chevron Corporation - San Ramon, CA Locate this job: |


