Data Architect for Mfg Data Analytics at General Motors in Alpharetta, GA
Description
Job Description:
This is a Hybrid position within our IT Organization. The role will allow employees to work offsite but will also require onsite work based on business needs. The selected candidate will be expected to commute to the innovation center to which they are assigned as their primary GM facility. Relocation may be provided. In recent years, GM Information Technology has successfully executed the largest IT transformation in the history of the automotive industry, fully insourcing what once was a nearly completely outsourced IT function. Today GM IT is a dynamic and fast paced organization that designs, develops and maintains all IT infrastructure, applications and solutions enabling GM's global operations. From designing and building the next generation of electric and other vehicles to developing a world-class GM experience for our dealers and customers, GM IT is driving real change in the most iconic automaker on the planet. Our team delivers unique enterprise-wide IT solutions in cutting-edge technologies such as mobility, telematics, mission-critical business systems, supercomputing, cloud, vehicle engineering and real-time computing. We offer challenging positions for passionate professionals looking to advance their careers and be a part of an IT organization focused on innovation, speed and business value.
Responsibilities:
The role is for a Data Architect supporting projects in a large and complex datahub Ability to comprehend and apply Data Architecture Standards and design patterns Participate in data model reviews and ensure the models work efficiently and comply with the standards & policies Communicate and maintains Master Data, Metadata, Data Management Repositories, Logical Data Models, Data Standards Create and maintain optimal data pipeline architecture, create high-level data flow diagrams and low-level designs documents You will assemble large, complex data sets that meet functional / non-functional business requirement You will identify, design, and implement internal process improvements:
automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build industrialized analytic datasets and delivery mechanisms that utilize the data pipeline to deliver actionable insights into customer acquisition, operational efficiency and other key business performance metrics Work with business partners on data-related technical issues and develop requirements to support their data needs Create highly consistent and accurate analytic datasets suitable for business intelligence and data scientist team members Additional Description
Qualifications:
At least 5 years of data modeling experience You have mastery with databases - Advanced SQL and NoSQL databases, including Postgres and Oracle Experience with data profiling, cleansing, and conforming rules Strong working experience in interpreting business requirements for 'data' Experience creating SQL queries to perform data profiling and determine cleansing and conforming requirements Ability to tackle problems quickly and completely Ability to identify tasks which require automation and automate them A demonstrable understanding of networking/distributed computing environment concepts At least 3 years of experience working on a datahub environment Ability to multi-task and stay organized in a dynamic work environment Experience with ERWIN model Preferred
Qualifications:
Data Integration platforms, tools and techniques like DataStage, Spark, Informatica, Ab Initio, and other Big Data Technologies - Hadoop, Hive, & Spark etc. Experience working with reporting technologies - Cognos, Power BI , Tableau Development experience using RDBMS -Oracle, SQL Server, and PostGreSQL(optional) SQL & PL/SQL, Python/Unix Scripting Data pipeline and workflow management tools:
Azkaban, Luigi, Airflow, etc. AWS cloud services:
EC2, EMR, RDS, Redshift Stream-processing systems:
Storm, Spark-Streaming, etc. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We aspire to be the most inclusive company in the world. We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team. Benefits Overview The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others:
o Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents; o Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family; o Company and matching contributions to 401K savings plan to help you save for retirement; o Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values; o Tuition assistance and student loan refinancing; o Discount on GM vehicles for you, your family and friends. Diversity Information General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer.
Salary Range:
$100K -- $150K
Minimum Qualification
Data Science & Machine Learning, Systems Architecture & EngineeringEstimated Salary: $20 to $28 per hour based on qualifications.
Job Description:
This is a Hybrid position within our IT Organization. The role will allow employees to work offsite but will also require onsite work based on business needs. The selected candidate will be expected to commute to the innovation center to which they are assigned as their primary GM facility. Relocation may be provided. In recent years, GM Information Technology has successfully executed the largest IT transformation in the history of the automotive industry, fully insourcing what once was a nearly completely outsourced IT function. Today GM IT is a dynamic and fast paced organization that designs, develops and maintains all IT infrastructure, applications and solutions enabling GM's global operations. From designing and building the next generation of electric and other vehicles to developing a world-class GM experience for our dealers and customers, GM IT is driving real change in the most iconic automaker on the planet. Our team delivers unique enterprise-wide IT solutions in cutting-edge technologies such as mobility, telematics, mission-critical business systems, supercomputing, cloud, vehicle engineering and real-time computing. We offer challenging positions for passionate professionals looking to advance their careers and be a part of an IT organization focused on innovation, speed and business value.
Responsibilities:
The role is for a Data Architect supporting projects in a large and complex datahub Ability to comprehend and apply Data Architecture Standards and design patterns Participate in data model reviews and ensure the models work efficiently and comply with the standards & policies Communicate and maintains Master Data, Metadata, Data Management Repositories, Logical Data Models, Data Standards Create and maintain optimal data pipeline architecture, create high-level data flow diagrams and low-level designs documents You will assemble large, complex data sets that meet functional / non-functional business requirement You will identify, design, and implement internal process improvements:
automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build industrialized analytic datasets and delivery mechanisms that utilize the data pipeline to deliver actionable insights into customer acquisition, operational efficiency and other key business performance metrics Work with business partners on data-related technical issues and develop requirements to support their data needs Create highly consistent and accurate analytic datasets suitable for business intelligence and data scientist team members Additional Description
Qualifications:
At least 5 years of data modeling experience You have mastery with databases - Advanced SQL and NoSQL databases, including Postgres and Oracle Experience with data profiling, cleansing, and conforming rules Strong working experience in interpreting business requirements for 'data' Experience creating SQL queries to perform data profiling and determine cleansing and conforming requirements Ability to tackle problems quickly and completely Ability to identify tasks which require automation and automate them A demonstrable understanding of networking/distributed computing environment concepts At least 3 years of experience working on a datahub environment Ability to multi-task and stay organized in a dynamic work environment Experience with ERWIN model Preferred
Qualifications:
Data Integration platforms, tools and techniques like DataStage, Spark, Informatica, Ab Initio, and other Big Data Technologies - Hadoop, Hive, & Spark etc. Experience working with reporting technologies - Cognos, Power BI , Tableau Development experience using RDBMS -Oracle, SQL Server, and PostGreSQL(optional) SQL & PL/SQL, Python/Unix Scripting Data pipeline and workflow management tools:
Azkaban, Luigi, Airflow, etc. AWS cloud services:
EC2, EMR, RDS, Redshift Stream-processing systems:
Storm, Spark-Streaming, etc. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We aspire to be the most inclusive company in the world. We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team. Benefits Overview The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others:
o Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents; o Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family; o Company and matching contributions to 401K savings plan to help you save for retirement; o Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values; o Tuition assistance and student loan refinancing; o Discount on GM vehicles for you, your family and friends. Diversity Information General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer.
Salary Range:
$100K -- $150K
Minimum Qualification
Data Science & Machine Learning, Systems Architecture & EngineeringEstimated Salary: $20 to $28 per hour based on qualifications.
|
|
 | |
