Manager - Data Engineering
Arlington, TX, United States
USD 110K-190K (estimate) Mid-level Full Time
Tasks
- Code test deploy monitor and document data pipelines
- Collaborate with data scientists and architects on data sourcing and feature extraction
- Conduct code reviews and support technology upgrades
- Create data engineering standards and processes
- Define data engineering architecture hardware and software
- Design end to end data engineering framework
- Develop and deploy batch and streaming data processing
- Evaluate data engineering technologies in lab
- Monitor Linux Hadoop and Spark communities and vendors
- Plan and implement hardware and software releases
- Report utilization and performance metrics
- Troubleshoot incidents for root cause analysis
Perks/Benefits
- 401k matching
- Bonding leave for new parents
- Community service pay
- GM employee auto discount
- Hybrid work environment
- Nine company holidays
- Training
- Tuition assistance
Skills/Tech-stack
AIX | Ab Initio | Ansible | Bash | Best practices | Big Data | Business Intelligence | BusinessObjects | Cassandra | Chef | Cognos | DB2 | Data Modeling | DataStage | Disaster Recovery | Docker | ETL | Flume | HADOOP security | HBase | HDFS encryption | Hadoop | Hue | Incident Management | Informatica | Java | Kafka | Kerberos | Kubernetes | Linux | Mesos | MongoDB | NoSQL | Oracle | Oracle Business Intelligence | Perl | PostgreSQL | Puppet | Python | RabbitMQ | Redis | Ruby | SQL | Scala | Search | Security best practices | Solr | Spark | TLS | Unix
Education
Bachelor of Engineering | Bachelor of Science | High School Diploma
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