GM Financial

Data Engineer

GM Financial

full-time

Posted on:

Location Type: Hybrid

Location: Fort Worth • Texas • United States

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Job Level

Junior

Tech Stack

AWSAzureCassandraCloudDistributed SystemsETLGoogle Cloud PlatformGradleHadoopHDFSKafkaKubernetesMavenMongoDBNoSQLOracleRedisSparkSubversionTerraformWebpack

About the role

  • Work internal business partners to identify, capture, collect, and format data from the external sources, internal systems and the data warehouse to extract features of interest
  • Contribute to the evaluation, research, experimentation efforts with batch and streaming data engineering technologies in a lab to keep pace with industry innovation
  • Work with data engineering related groups to inform on and showcase capabilities of emerging technologies and to enable the adoption of these new technologies and associated techniques
  • Coordinate with Privacy Compliance to ensure proper data collection and handling
  • Create and implement business rules and functional enhancements for data schemas and processes
  • Perform data load monitoring and resolution
  • Work with internal business clients to problem solve data availability and activation issues

Requirements

  • 0-2 years of hands on experience with data engineering required
  • Bachelor’s Degree in related field or equivalent experience required
  • Experience with processing large data sets using Hadoop, HDFS, Spark, Kafka, Flume or similar distributed systems
  • Experience with ingesting various source data formats such as JSON, Parquet, SequenceFile, Cloud Databases, MQ, Relational Databases such as Oracle
  • Experience with Cloud technologies (such as Azure, AWS, GCP) and native toolsets such as Azure ARM Templates, Hashicorp Terraform, AWS Cloud Formation
  • Working knowledge of Object Storage technologies to include but not limited to Data Lake Storage Gen2, S3, Minio, Ceph, ADLS etc
  • Experience with containerization to include but not limited to Dockers, Kubernetes, Spark on Kubernetes, Spark Operator
  • Strong background with source control management systems (GIT or Subversion); Build Systems (Maven, Gradle, Webpack); Code Quality (Sonar); Artifact Repository Managers (Artifactory), Continuous Integration/ Continuous Deployment (Azure DevOps)
  • Experience with NoSQL data stores such as CosmosDB, MongoDB, Cassandra, Redis, Riak or other technologies that embed NoSQL with search such as MarkLogic or Lily Enterprise
  • Creating and maintaining ETL processes
  • Experience with Adobe solutions (ideally Adobe Experience Platform, DTM/Launch) and REST APIs
  • Understanding of cloud solutions such as Google Cloud Platform, Microsoft Azure & Amazon AWS cloud architecture & services
  • Understanding of GDPR, privacy & security topics.
Benefits
  • 401K matching
  • bonding leave for new parents (12 weeks, 100% paid)
  • tuition assistance
  • training
  • GM employee auto discount
  • community service pay
  • nine company holidays
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data engineeringHadoopHDFSSparkKafkaFlumeJSONParquetETL processesNoSQL
Soft Skills
problem solvingcollaborationcommunication
Certifications
Bachelor’s Degree