GM Financial
Cloud Administrator
GM Financial, Arlington, Texas, United States, 76000
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.Responsibilities:The Cloud Administrator will develop data solutions to ingest data from various source system, you will play a pivotal role in architecting, implementing, and maintaining the data Infrastructure for our Bronze Layer at GM Financial to support data science, analytics, and business teams, globally. GM Financial is on a cloud data migration journey. This role will be responsible for system and API integration, data operations and engineering, pipeline development and orchestration for data ingestion. We will be automating first, delivering data as a service solution to the Data Science, Analytics, and data consumption zones.What makes you an ideal candidate?Design, develop and maintain data ingestion pipelines in major public clouds such as Microsoft Azure and Amazon Web Services.Collaborate with cross functional teams to gather and analyze data ingestion requirement and develop well performing solution for data ingestion.Implement data ingestion transformation, and processing solutions in cloud using Databricks, Synapse, Data Factory, or similar tools.Optimize performance and reliability of data pipelines to meet SLAs and business objectives.Ensure data quality and integrity by implementing data validation and monitoring mechanisms.Provide technical expertise to support ingestion and migration of internal and external data in multiple formats and types to the clouds.Collaborate with product owners and other Agile teams to establish service level objectives for applications and agreed consequences if the objectives are not being met.Collaborate with development team members to swarm, troubleshoot, and resolve problems that may exist in cloud-hosted environments.Good Understanding of data engineering, data operations, IT, analytics teams or equivalent required.Good knowledge of programming language (Python, Scala, PySpark) required.Understanding of cybersecurity encryption certificates, keys and secrets.Knowledge of ISTM and CMDB systems such as ServiceNow or similarStrong problem-solving skills and ability to work well in team environment required.Good Understanding in designing, engineering, and implementing cloud data solutions, collaborating with the business to build enterprise scale data solutions.Knowledge with Agile methodologies for cloud data engineering and transformation.
Qualifications:ExperienceHigh School degree requiredBachelors Degree In the field of Computer Science/Engineering, Analytics, Data Science, Mathematics, or related discipline required.Masters Degree In the field of Computer Science/Engineering, Analytics, Data Science, Mathematics, or related discipline preferred.Knowledge of programming language (Python, Scala, PySpark) required.Understanding of data engineering, data operations, IT, analytics teams or equivalent required.Experience with cloud technologies like Microsoft Azure, Amazon Web Services (AWS) or Google Cloud Platform (GCP) preferredWhat 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 eligibilityWork Life Balance:
Flexible hybrid work environment, 2-days a week in officeNote:Please note we are not able to consider candidates who require visa sponsorship for this position.#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.Responsibilities:The Cloud Administrator will develop data solutions to ingest data from various source system, you will play a pivotal role in architecting, implementing, and maintaining the data Infrastructure for our Bronze Layer at GM Financial to support data science, analytics, and business teams, globally. GM Financial is on a cloud data migration journey. This role will be responsible for system and API integration, data operations and engineering, pipeline development and orchestration for data ingestion. We will be automating first, delivering data as a service solution to the Data Science, Analytics, and data consumption zones.What makes you an ideal candidate?Design, develop and maintain data ingestion pipelines in major public clouds such as Microsoft Azure and Amazon Web Services.Collaborate with cross functional teams to gather and analyze data ingestion requirement and develop well performing solution for data ingestion.Implement data ingestion transformation, and processing solutions in cloud using Databricks, Synapse, Data Factory, or similar tools.Optimize performance and reliability of data pipelines to meet SLAs and business objectives.Ensure data quality and integrity by implementing data validation and monitoring mechanisms.Provide technical expertise to support ingestion and migration of internal and external data in multiple formats and types to the clouds.Collaborate with product owners and other Agile teams to establish service level objectives for applications and agreed consequences if the objectives are not being met.Collaborate with development team members to swarm, troubleshoot, and resolve problems that may exist in cloud-hosted environments.Good Understanding of data engineering, data operations, IT, analytics teams or equivalent required.Good knowledge of programming language (Python, Scala, PySpark) required.Understanding of cybersecurity encryption certificates, keys and secrets.Knowledge of ISTM and CMDB systems such as ServiceNow or similarStrong problem-solving skills and ability to work well in team environment required.Good Understanding in designing, engineering, and implementing cloud data solutions, collaborating with the business to build enterprise scale data solutions.Knowledge with Agile methodologies for cloud data engineering and transformation.
Qualifications:ExperienceHigh School degree requiredBachelors Degree In the field of Computer Science/Engineering, Analytics, Data Science, Mathematics, or related discipline required.Masters Degree In the field of Computer Science/Engineering, Analytics, Data Science, Mathematics, or related discipline preferred.Knowledge of programming language (Python, Scala, PySpark) required.Understanding of data engineering, data operations, IT, analytics teams or equivalent required.Experience with cloud technologies like Microsoft Azure, Amazon Web Services (AWS) or Google Cloud Platform (GCP) preferredWhat 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 eligibilityWork Life Balance:
Flexible hybrid work environment, 2-days a week in officeNote:Please note we are not able to consider candidates who require visa sponsorship for this position.#LI-Hybrid#LI-MH1