Goldman Sachs
Lead Data Engineer (VP) - CWMD, Consumer Engineering
Goldman Sachs, Richardson, Texas, United States, 75080
MORE ABOUT THIS JOB:
CONSUMER
( MARCUS BY GOLDMAN SACHS )Marcus by Goldman Sachs is the firms consumer business, combining the entrepreneurial spirit of a startup with 150 years of experience. Today, Marcus has $90 billion in deposits, $7 billion in loan balances and 4 million customers across our lending and deposits businesses, as well as the personal financial management app, Clarity Money. Through the use of insights and intuitive design, we provide customers with powerful tools and products that are grounded in value, transparency and simplicity. We are backed by our unique team, comprised of individual contributors from leading agile technology companies, fintechs and consumer financial services companies, allowing us to disrupt the industry, while helping consumers take control of their financial lives.RESPONSIBILITIES AND QUALIFICATIONS:HOW YOU WILL FULFILL YOUR POTENTIALWe are looking for a Data Engineer to join our fast growing team. This person will be responsible for expanding and optimizing our current cloud based data pipeline architecture for the various cross functional teams. The ideal candidate has experience building robust data pipelines and reporting tools. However, someone with a strong application development background with keen interest in data engineering would be considered. The candidate will be collaborating extensively with Engineering, Analytics and Product teams to support functional use-cases and take data driven decisionsStrong background in data processing & software engineering and can build high-quality, scalable data oriented products.Industry experience working with distributed data technologies (e.g. Hadoop, MapReduce, Spark, EMR, etc..) for building efficient, large-scale data pipelines.Strong Software Engineering experience with in depth understanding of Python, Scala, Java or equivalentStrong understanding of data architecture, modeling and infrastructureExperience with building workflows (ETL pipelines)Experience with SQL and optimizing queriesProblem solver with attention to detail who can see complex problems in the data space through end to endWillingness to work in a fast paced environmentMS/BS in Computer Science or relevant industry experience5+ years of experience in the industryQUALIFICATIONSStrong background in data processing & software engineering and can build high-quality, scalable data oriented products.Industry experience working with distributed data technologies (e.g. Hadoop, MapReduce, Spark, EMR, etc..) for building efficient, large-scale data pipelines.Strong Software Engineering experience with in depth understanding of Python, Scala, Java or equivalentStrong understanding of data architecture, modeling and infrastructureExperience with building workflows (ETL pipelines)Experience with SQL and optimizing queriesProblem solver with attention to detail who can see complex problems in the data space through end to endWillingness to work in a fast paced environmentMS/BS in Computer Science or relevant industry experience5+ years of experience in the industryPreferred SkillsExperience building scalable applications on the Cloud (Amazon AWS, Google Cloud, etc..)Experience building stream-processing applications (Spark streaming, Apache-Flink, Kafka, etc..)Experience leading a small team of engineers
ABOUT GOLDMAN SACHS:CONSUMER AND INVESTMENT MANAGEMENT DIVISION (CIMD)The Consumer and Investment Management Division includes Goldman Sachs Asset Management (GSAM), Private Wealth Management (PWM) and our Consumer business (Marcus by Goldman Sachs). We provide asset management, wealth management and banking expertise to consumers and institutions around the world. CIMD partners with various teams across the firm to help individuals and institutions navigate changing markets and take control of their financial lives.ABOUT GOLDMAN SACHS
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.
Were committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html
The Goldman Sachs Group, Inc., 2020. All rights reserved.Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
CONSUMER
( MARCUS BY GOLDMAN SACHS )Marcus by Goldman Sachs is the firms consumer business, combining the entrepreneurial spirit of a startup with 150 years of experience. Today, Marcus has $90 billion in deposits, $7 billion in loan balances and 4 million customers across our lending and deposits businesses, as well as the personal financial management app, Clarity Money. Through the use of insights and intuitive design, we provide customers with powerful tools and products that are grounded in value, transparency and simplicity. We are backed by our unique team, comprised of individual contributors from leading agile technology companies, fintechs and consumer financial services companies, allowing us to disrupt the industry, while helping consumers take control of their financial lives.RESPONSIBILITIES AND QUALIFICATIONS:HOW YOU WILL FULFILL YOUR POTENTIALWe are looking for a Data Engineer to join our fast growing team. This person will be responsible for expanding and optimizing our current cloud based data pipeline architecture for the various cross functional teams. The ideal candidate has experience building robust data pipelines and reporting tools. However, someone with a strong application development background with keen interest in data engineering would be considered. The candidate will be collaborating extensively with Engineering, Analytics and Product teams to support functional use-cases and take data driven decisionsStrong background in data processing & software engineering and can build high-quality, scalable data oriented products.Industry experience working with distributed data technologies (e.g. Hadoop, MapReduce, Spark, EMR, etc..) for building efficient, large-scale data pipelines.Strong Software Engineering experience with in depth understanding of Python, Scala, Java or equivalentStrong understanding of data architecture, modeling and infrastructureExperience with building workflows (ETL pipelines)Experience with SQL and optimizing queriesProblem solver with attention to detail who can see complex problems in the data space through end to endWillingness to work in a fast paced environmentMS/BS in Computer Science or relevant industry experience5+ years of experience in the industryQUALIFICATIONSStrong background in data processing & software engineering and can build high-quality, scalable data oriented products.Industry experience working with distributed data technologies (e.g. Hadoop, MapReduce, Spark, EMR, etc..) for building efficient, large-scale data pipelines.Strong Software Engineering experience with in depth understanding of Python, Scala, Java or equivalentStrong understanding of data architecture, modeling and infrastructureExperience with building workflows (ETL pipelines)Experience with SQL and optimizing queriesProblem solver with attention to detail who can see complex problems in the data space through end to endWillingness to work in a fast paced environmentMS/BS in Computer Science or relevant industry experience5+ years of experience in the industryPreferred SkillsExperience building scalable applications on the Cloud (Amazon AWS, Google Cloud, etc..)Experience building stream-processing applications (Spark streaming, Apache-Flink, Kafka, etc..)Experience leading a small team of engineers
ABOUT GOLDMAN SACHS:CONSUMER AND INVESTMENT MANAGEMENT DIVISION (CIMD)The Consumer and Investment Management Division includes Goldman Sachs Asset Management (GSAM), Private Wealth Management (PWM) and our Consumer business (Marcus by Goldman Sachs). We provide asset management, wealth management and banking expertise to consumers and institutions around the world. CIMD partners with various teams across the firm to help individuals and institutions navigate changing markets and take control of their financial lives.ABOUT GOLDMAN SACHS
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.
Were committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html
The Goldman Sachs Group, Inc., 2020. All rights reserved.Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity