GM Financial

Manager – Data Engineering

GM Financial

full-time

Posted on:

Location Type: Hybrid

Location: Arlington • Texas • United States

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Tech Stack

CassandraCognosETLHadoopHBaseInformaticaJavaKafkaMongoDBNoSQLOraclePerlPostgresPythonRabbitMQRedisRubyScalaSparkSQL

About the role

  • We are expanding our efforts into complementary data technologies for analytics and decision support in areas of ingesting and processing large data sets.
  • Our interests are in enabling data science and search based applications on large and low latent data sets in both a batch and streaming context for processing.
  • To that end, this role will engage with team counterparts in exploring, developing and deploying technologies for creating data sets using a combination of batch and streaming transformation processes.
  • These data sets support both off-line and in-line machine learning training and model execution.
  • Other data sets support search engine based analytics.
  • Exploration and deployment of technologies activities include identifying opportunities that impact business strategy, selecting data solutions software, and defining hardware requirements based on business requirements.
  • Responsibility also includes coding, testing, and documentation of new or modified scalable analytic data systems including automation for deployment and monitoring.
  • This role participates along with team counterparts to architect an end-to-end framework developed on a group of core data technologies.
  • Other aspects of the role include developing standards and processes for data engineering projects and initiatives.

Requirements

  • 5-7 years experience with software engineering to include Java, Scala, and Python required
  • 5-7 years proficiency with processing large data sets with Kafka, RabbitMQ, Flume, Hadoop, HBase, Cassandra and/or Spark or similar distributed system required
  • 3-5 years hands-on experience with scripting with Bash, Perl, Ruby required
  • 3-5 years hands-on development / processing experience on Kafka, HBase, Solr, and Hue required
  • 2-4 years hands-on experience with ETL and Business Intelligence technologies such as Informatica, DataStage, Ab Initio, Cognos, BusinessObjects, or Oracle Business Intelligence required
  • 2-3 years hands-on experience with SQL, data modeling, and relational databases such as Oracle, DB2, and Postgres required
  • Proven track record with NoSQL data stores such as MongoDB, Cassandra, HBase, Redis, Riak or other technologies that embed NoSQL with search such as MarkLogic or Lily Enterprise required
  • 0-2 years management experience with data engineering team preferred
  • High School Diploma or equivalent required
  • Bachelor’s Degree in related field or equivalent work or military experience required.
Benefits
  • Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.
Applicant Tracking System Keywords

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Hard Skills & Tools
JavaScalaPythonKafkaRabbitMQFlumeHadoopHBaseCassandraSpark
Soft Skills
collaborationproblem-solvingcommunicationdocumentationautomation
Certifications
Bachelor’s DegreeHigh School Diploma