GM Financial
Data Engineer II - ABS Data Analytics & Finance Reporting
GM Financial, Fort Worth, Texas, United States, 76102
Data Engineer II - ABS Data Analytics & Finance Reporting
Join to apply for the
Data Engineer II - ABS Data Analytics & Finance Reporting
role at
GM Financial Overview
GM Financial is the wholly owned captive finance subsidiary of General Motors and is headquartered in Fort Worth, U.S. We are a global provider of auto finance solutions with operations in North America, South America and the Asia Pacific region. Through our relationships with auto dealers, we offer attractive retail financing and lease programs and commercial lending products to dealers to help them finance and grow their businesses. At GM Financial, our team members define and shape our culture — an environment that welcomes new ideas, fosters integrity and creates a sense of community and belonging. Here we do more than work — we thrive. Responsibilities
About the role:
The ABS Data Engineer II is a critical technical role within the GMF North America Securitization and Conduit Reporting team. This position helps the ABS reporting team in building and maintaining reliable and scalable data pipelines. It leverages Python, SQL, and Azure cloud technologies to extract, transform, and load data efficiently, enabling seamless data access and analysis for accounting business users. This role involves coordination with other departments and third-party software vendors. Job Duties
Work internal business partners to identify, capture, collect, and format data from external sources, internal systems and the data warehouse to extract features of interest
Contribute to the evaluation, research, and 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 enable adoption of these technologies and 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
What makes you a dream candidate?
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 (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, IaaS, PaaS and SaaS and the current competitive landscape
Working knowledge of Object Storage technologies (Data Lake Storage Gen2, S3, Minio, Ceph, ADLS, etc.)
Experience with containerization (Docker, 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); CI/CD (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
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 work 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 insights
Understanding of cloud solutions such as Google Cloud Platform, Microsoft Azure & Amazon AWS cloud architecture & services
Understanding of GDPR, privacy & security topics
Experience And Education
What we require:
2-4 years of hands on experience with data engineering required
Bachelor’s Degree in related field or equivalent experience required
What We Offer
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. Our Culture
Our team members define and shape our culture — an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive. Compensation
Competitive pay and bonus eligibility Work Life Balance
Flexible hybrid work environment, minimum of 2-days a week in office in Fort Worth, Texas
#J-18808-Ljbffr
Join to apply for the
Data Engineer II - ABS Data Analytics & Finance Reporting
role at
GM Financial Overview
GM Financial is the wholly owned captive finance subsidiary of General Motors and is headquartered in Fort Worth, U.S. We are a global provider of auto finance solutions with operations in North America, South America and the Asia Pacific region. Through our relationships with auto dealers, we offer attractive retail financing and lease programs and commercial lending products to dealers to help them finance and grow their businesses. At GM Financial, our team members define and shape our culture — an environment that welcomes new ideas, fosters integrity and creates a sense of community and belonging. Here we do more than work — we thrive. Responsibilities
About the role:
The ABS Data Engineer II is a critical technical role within the GMF North America Securitization and Conduit Reporting team. This position helps the ABS reporting team in building and maintaining reliable and scalable data pipelines. It leverages Python, SQL, and Azure cloud technologies to extract, transform, and load data efficiently, enabling seamless data access and analysis for accounting business users. This role involves coordination with other departments and third-party software vendors. Job Duties
Work internal business partners to identify, capture, collect, and format data from external sources, internal systems and the data warehouse to extract features of interest
Contribute to the evaluation, research, and 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 enable adoption of these technologies and 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
What makes you a dream candidate?
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 (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, IaaS, PaaS and SaaS and the current competitive landscape
Working knowledge of Object Storage technologies (Data Lake Storage Gen2, S3, Minio, Ceph, ADLS, etc.)
Experience with containerization (Docker, 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); CI/CD (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
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 work 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 insights
Understanding of cloud solutions such as Google Cloud Platform, Microsoft Azure & Amazon AWS cloud architecture & services
Understanding of GDPR, privacy & security topics
Experience And Education
What we require:
2-4 years of hands on experience with data engineering required
Bachelor’s Degree in related field or equivalent experience required
What We Offer
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. Our Culture
Our team members define and shape our culture — an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive. Compensation
Competitive pay and bonus eligibility Work Life Balance
Flexible hybrid work environment, minimum of 2-days a week in office in Fort Worth, Texas
#J-18808-Ljbffr