GM Financial
Data Engineer
GM Financial, Irving, Texas, United States, 75084
Overview:
Why GMF Technology?GM Financial is set to change the auto finance industry and is leading the path of embarking on tech modernization we have a startup mindset, and preserve our small company culture, in a public company environment with financial stability and intense growth over a decade-plus history. We are
data
junkies and trust in
data
and insights to advance our business objectives.We take our goal of zero emission, zero collision, zero congestion, and zero friction very seriously. We believe as an auto finance market leader we are in the driver's seat to lead us in the GM EV mission to change the world.We are building global platforms, in LATAM, Europe, China, U.S. and Canada and we are looking to grow our high-performing team. GMF is comprised of over 10,000 team members globally. Join our fintech culture within a Blue-Chip company where we are changing the way we use technology to support our customers, dealers and business.This is a hybrid role (2 days in Irving or Arlington, TX office, 3 days work from home) We are not able to support visa sponsorship at this time
.Responsibilities:About The Role:We are expanding our efforts into complementary
data
technologies for decision support in areas of ingesting and processing large
data
sets including
data
commonly referred to as semi-structured or unstructured
data . 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 and deploying technologies for creating
data
sets using a combination of batch and streaming transformation processes.What makes you an ideal candidate?Work with internal business partners to identify, capture, collect, and format
data
from the external sources, internal systems and the
data
warehouse to extract features of interestContribute to the evaluation, research, experimentation efforts with batch and streaming
data
engineering technologies in a lab to keep pace with industry innovationWork 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 techniquesCoordinate with Privacy Compliance to ensure proper
data
collection and handlingCreate and implement business rules and functional enhancements for
data
schemas and processesPerform
data
load monitoring and resolutionSupport internal business clients to problem solve
data
availability and activation issuesAbility to work in an Agile/Scrum team environment
Qualifications:Experience and EducationBachelors Degree in related field or equivalent work experience required2-4 years of hands-on experience with
data
engineering required2-4 years of hands-on experience with processing large
data
sets using Hadoop, HDFS, Spark, Kafka, Flume or similar distributed systems is required.2-4 years of hands-on experience with SQL,
data modeling , relational databases and/or no SQL databases requiredBachelors Degree in related field or equivalent work experience requiredExperience with ingesting various source
data
formats such as JSON, Parquet, SequenceFile, Cloud Databases, MQ, Relational Databases such as OracleExperience with Cloud technologies (such as
Azure , AWS, GCP) and native toolsets such as
Azure
ARM Templates, Hashicorp Terraform, AWS Cloud FormationProficient with programming concepts and languages including SQL and Python/PySparkExperience with REST APIsWorking knowledge of Databricks platform and associated features including workflows, unity catalog, delta live tables, time travel, SQL statement execution API, etcWorking knowledge of Object Storage technologies to include but not limited to
Data
Lake Storage Gen2, S3, Minio, Ceph, ADLS etcWhat 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, 2-days a week in office in Irving, TexasPlease note we are not able to support visa sponsorship at this time.#LI-Hybrid#LI-MH1
Why GMF Technology?GM Financial is set to change the auto finance industry and is leading the path of embarking on tech modernization we have a startup mindset, and preserve our small company culture, in a public company environment with financial stability and intense growth over a decade-plus history. We are
data
junkies and trust in
data
and insights to advance our business objectives.We take our goal of zero emission, zero collision, zero congestion, and zero friction very seriously. We believe as an auto finance market leader we are in the driver's seat to lead us in the GM EV mission to change the world.We are building global platforms, in LATAM, Europe, China, U.S. and Canada and we are looking to grow our high-performing team. GMF is comprised of over 10,000 team members globally. Join our fintech culture within a Blue-Chip company where we are changing the way we use technology to support our customers, dealers and business.This is a hybrid role (2 days in Irving or Arlington, TX office, 3 days work from home) We are not able to support visa sponsorship at this time
.Responsibilities:About The Role:We are expanding our efforts into complementary
data
technologies for decision support in areas of ingesting and processing large
data
sets including
data
commonly referred to as semi-structured or unstructured
data . 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 and deploying technologies for creating
data
sets using a combination of batch and streaming transformation processes.What makes you an ideal candidate?Work with internal business partners to identify, capture, collect, and format
data
from the external sources, internal systems and the
data
warehouse to extract features of interestContribute to the evaluation, research, experimentation efforts with batch and streaming
data
engineering technologies in a lab to keep pace with industry innovationWork 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 techniquesCoordinate with Privacy Compliance to ensure proper
data
collection and handlingCreate and implement business rules and functional enhancements for
data
schemas and processesPerform
data
load monitoring and resolutionSupport internal business clients to problem solve
data
availability and activation issuesAbility to work in an Agile/Scrum team environment
Qualifications:Experience and EducationBachelors Degree in related field or equivalent work experience required2-4 years of hands-on experience with
data
engineering required2-4 years of hands-on experience with processing large
data
sets using Hadoop, HDFS, Spark, Kafka, Flume or similar distributed systems is required.2-4 years of hands-on experience with SQL,
data modeling , relational databases and/or no SQL databases requiredBachelors Degree in related field or equivalent work experience requiredExperience with ingesting various source
data
formats such as JSON, Parquet, SequenceFile, Cloud Databases, MQ, Relational Databases such as OracleExperience with Cloud technologies (such as
Azure , AWS, GCP) and native toolsets such as
Azure
ARM Templates, Hashicorp Terraform, AWS Cloud FormationProficient with programming concepts and languages including SQL and Python/PySparkExperience with REST APIsWorking knowledge of Databricks platform and associated features including workflows, unity catalog, delta live tables, time travel, SQL statement execution API, etcWorking knowledge of Object Storage technologies to include but not limited to
Data
Lake Storage Gen2, S3, Minio, Ceph, ADLS etcWhat 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, 2-days a week in office in Irving, TexasPlease note we are not able to support visa sponsorship at this time.#LI-Hybrid#LI-MH1