Job Description
Our Company
Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
The Opportunity
The Senior Database Engineer will be responsible for designing, building, deploying, and supporting sophisticated database systems and data models. You will collaborate with business units to analyze current-state business processes and help modernize and build scalable and sustainable solutions to help ensure data integrity and security. We look for self-motivated individuals who can function and adapt in an agile development model with iterative delivery, incorporating feedback rapidly into delivery components. Our team partners closely with groups inside and outside of the Finance organization and requires individuals to bring a can-do, positive attitude, with a focus on delivering exception customer support.
What you'll Do
Design, build data models to support structured and unstructured data. Design, build and deploy scalable high-volume data pipelines to move data across systems. Lead architecture and implementation of batch and real-time data pipelines with instrumentation. Design, build data transformations, metrics and KPI with data governance and data privacy policies. Build centralized data lake, data warehouse and visualizations that support multiple use cases across different products for engineering and enterprise. Work with Product team to deliver features on time. Build data subject matter expertise and own data quality. Design and develop software and data solutions that help product, engineering and business teams make data-driven decisions. Own processes running in production, problem solving and optimization. Partner with data science team to provide quality data for model development and productizing machine learning models. Partner with analytics to build datasets that support visualizations. Conduct design and code reviews to deliver production quality code. Experience in data warehouse space. Experience in custom ETL/ELT design, patterns for efficient data integration, change data capture, implementation, and maintenance. Query writing (SQL & NoSQL), schema design, normalized data model and dimensional model. Experience in Python, Spark, API, Git, CI/CD, and AWS Cloud. MPP databases (AWS Redshift, Snowflake, Snaplogic, etc.) and RDBMS (PostgreSQL, MySQL). Processing data sources: Structured, Unstructured, Semi-Structed, SQL, PubSub, API and Event based in cloud-based infrastructure and data services. Airflow, S3, DBT. Python. Building flexible data
sets that enable current and future use cases. Analyzing large volumes of data to provide data driven insights, gaps. Development environments such as Docker, Kubernetes.
What you need to succeed
• BS in Computer Science / related technical field with 7 to 10 years of strong hands-on experience in enterprise data warehousing / big data implementations & sophisticated data solutions and frameworks
• Extensive experience in implementing large scale data warehouse and data mart architecture and implementation
• Proven ability to clearly form and communicate ideas to both technical and non-technical audiences with strong problem solving skills
• Results driven with attention to detail, strong sense of ownership, and a commitment to up leveling the broader team through mentoring, innovation and thought leadership
• Must be self-motivated, responsive, professional, and dedicated to customer success
At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.
If you are looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.
Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, or veteran status.
Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
The Opportunity
The Senior Database Engineer will be responsible for designing, building, deploying, and supporting sophisticated database systems and data models. You will collaborate with business units to analyze current-state business processes and help modernize and build scalable and sustainable solutions to help ensure data integrity and security. We look for self-motivated individuals who can function and adapt in an agile development model with iterative delivery, incorporating feedback rapidly into delivery components. Our team partners closely with groups inside and outside of the Finance organization and requires individuals to bring a can-do, positive attitude, with a focus on delivering exception customer support.
What you'll Do
Design, build data models to support structured and unstructured data. Design, build and deploy scalable high-volume data pipelines to move data across systems. Lead architecture and implementation of batch and real-time data pipelines with instrumentation. Design, build data transformations, metrics and KPI with data governance and data privacy policies. Build centralized data lake, data warehouse and visualizations that support multiple use cases across different products for engineering and enterprise. Work with Product team to deliver features on time. Build data subject matter expertise and own data quality. Design and develop software and data solutions that help product, engineering and business teams make data-driven decisions. Own processes running in production, problem solving and optimization. Partner with data science team to provide quality data for model development and productizing machine learning models. Partner with analytics to build datasets that support visualizations. Conduct design and code reviews to deliver production quality code. Experience in data warehouse space. Experience in custom ETL/ELT design, patterns for efficient data integration, change data capture, implementation, and maintenance. Query writing (SQL & NoSQL), schema design, normalized data model and dimensional model. Experience in Python, Spark, API, Git, CI/CD, and AWS Cloud. MPP databases (AWS Redshift, Snowflake, Snaplogic, etc.) and RDBMS (PostgreSQL, MySQL). Processing data sources: Structured, Unstructured, Semi-Structed, SQL, PubSub, API and Event based in cloud-based infrastructure and data services. Airflow, S3, DBT. Python. Building flexible data
sets that enable current and future use cases. Analyzing large volumes of data to provide data driven insights, gaps. Development environments such as Docker, Kubernetes.
What you need to succeed
• BS in Computer Science / related technical field with 7 to 10 years of strong hands-on experience in enterprise data warehousing / big data implementations & sophisticated data solutions and frameworks
• Extensive experience in implementing large scale data warehouse and data mart architecture and implementation
• Proven ability to clearly form and communicate ideas to both technical and non-technical audiences with strong problem solving skills
• Results driven with attention to detail, strong sense of ownership, and a commitment to up leveling the broader team through mentoring, innovation and thought leadership
• Must be self-motivated, responsive, professional, and dedicated to customer success
At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.
If you are looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.
Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, or veteran status.
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Date Posted
11/08/2022
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Subjectivity Score: 0.8
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