Data Engineer - ABS Data Analytics & Finance Reporting, New Grad
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GM Financial is a global provider of auto finance solutions and is seeking a Data Engineer to join their North America Securitization and Conduit Reporting team. The role involves building and maintaining data pipelines, leveraging technologies such as Python, SQL, and Azure to ensure efficient data access and analysis for accounting business users.
Responsibilities:
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
Qualifications:
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
Understanding of cloud computing technologies, business drivers and emerging computing trends
Thorough understanding of Hybrid Cloud Computing: virtualization technologies, Infrastructure as a Service, Platform as a Service and Software as a Service Cloud delivery models and the current competitive landscape
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
Working knowledge of Agile development / SAFe, Scrum and Application Lifecycle Management
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
Knowledgeable of best practices in information technology governance and privacy compliance
Experience with Adobe solutions (ideally Adobe Experience Platform, DTM/Launch) and REST APIs
Troubleshoot complex problems and works across teams to meet commitments
Excellent computer skills and proficiency in digital data collection
Ability to work in an Agile/Scrum team environment
Strong interpersonal, verbal, and writing skills
Digital technology solutions (DMPs, CDPs, Tag Management Platforms, Cross-Device Tracking, SDKs, etc)
Knowledge of Real Time-CDP and Journey Analytics solutions
Understanding of big data platforms and architectures, data stream processing pipeline/platform, data lake and data lake houses
SQL experience: querying data and sharing what insights can be derived
Understanding of cloud solutions such as Google Cloud Platform, Microsoft Azure & Amazon AWS cloud architecture & services
Understanding of GDPR, privacy & security topics
Bachelors Degree in related field or equivalent experience required
Preferred:
Experience with data engineering preferred
Company:
GM Financial is the captive finance company and a wholly-owned subsidiary of General Motors Company. Founded in 1992, the company is headquartered in Fort Worth, Texas, USA, with a team of 5001-10000 employees. The company is currently Late Stage.
Seniority level Seniority level Entry level
Employment type Employment type Full-time
Job function Industries Software Development
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Inferred from the description for this job Medical insurance
Vision insurance
401(k)
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- Location:
- Fort Worth, TX, United States
- Job Type:
- FullTime
- Category:
- Computer And Mathematical Occupations