Data Engineer
Data Engineer
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Job Description
Data Engineer II Global Marketing Technology
Who we are:
We are an innovative performance apparel company for yoga running training and other athletic pursuits. Setting the bar in technical fabrics and functional design we create transformational products and experiences that support people in moving growing connecting and being well. We owe our success to our innovative product emphasis on stores commitment to our people and the incredible connections we make in every community were in. As a company we focus on creating positive change to build a healthier thriving future. That includes creating an equitable inclusive and growth-focused environment for our people.
About this team:
Our Engineering is dedicated to building secure reliable and performant products for our guests and partners. We embrace the philosophies of Agile DevOps and SRE to accelerate our development process and provide the most enjoyable inclusive and supportive work environment possible. We believe our journey is more fun when it is collaborative as we focus on the future instead of the past. As an Engineer you will work as part of a global team supported by our business and architecture partners to help us collaboratively develop and deliver industry leading technology solutions that drive our business goals.
The Global Marketing Technology Team oversees the technical aspects of our global marketing technology stack. We aim to provide world class shopping experiences for our guests by enabling data to effectively personalize interactions with our guests. We are looking for a passionate high-energy individual who is excited about delivering data-driven capabilities to meet our growing marketing insights analytics and intelligence capabilities leveraging the best-in-class industry proven solutions. This individual must have a track record of working in a collaborative environment managing multiple stakeholders in a fast-paced environment and should take pride in evolving the entire organization to create the future data technology platform for growth.
Here are the details:
A day in the life:
As an Engineer II you will bring a high level of technical knowledge but also an ability to spread knowledge to your co-workers. You will help form the core of our engineering practice by contributing to all areas of development and operations (pre-production to production). You will be an example of what good engineering looks like and help others around you refine their skills. You will be part of a day-to-day production release team and may perform on-call support functions as needed. Having a DevOps mindset is the key to success in this role as Engineers are commonly part of full DevOps teams that own all parts of software development release pipelines production monitoring security and support.
Data Engineering Projects
Data pipeline creation and maintenance. Stack: Google Cloud Platform (GCP) Azure Cloud Azure Databricks Snowflake
Includes engineering documentation knowledge transfer to other engineers future enhancements and maintenance
Create secure data views and publish them to the Enterprise Data Exchange via Snowflake for other teams to consume
Data pipeline modernization and migration via Databricks Delta Live Tables (DLT) and Unity Catalog
Leverage existing CICD process for pipeline deployment
Adhere to PII encryption and masking standards
Data Engineering Tools/Techniques
Orchestration tools - ADF AirFlow FiveTran
Languages - SQL Python
Data Modeling - Star and Snowflake Schema
Streaming - Kafka EventHub Spark Snowflake Streaming
DevOps Support
Support improvements to current CICD process
Production monitoring and failure support
Provide an escalation point and participate in on-call support rotations Participate in discussions on how to improve DevOps
Be aware of product release and how that impacts our business
Take part in Agile ceremonies
Perform engineering assignments using existing procedures and best practices Conduct research to aid in product troubleshooting and optimization efforts Participate in and contribute to our Engineering Community of Practice
Qualifications:
Completed Bachelors degree or diploma (or equivalent experience) in Computer Science Software Engineering or Software Architecture preferred; candidates with substantial and relevant industry experience are also eligible
5 years of relevant engineering experience
Google Professional Data Engineer Certification is preferred
Experience in Big Table ClickStream data migration Semi-Structured and Un-Structured data management
Experience with Google GCP and BigQuery
Experience with developing complex SQL queries
Experience with CI/CD principles and best practices
Experience with Azure Data Factory Azure Data Bricks Snowflake and Storage Accounts. Experience working with a Data Engineering team and understanding of Data Engineering practices.
Ability to learn understand and work quickly with new emerging technologies methodologies and solutions in the Cloud/IT technology space
Experience with bug tracking and task management software such as JIRA etc. Experienced in managing outages customer escalations crisis management and other similar circumstances.
Must haves:
Acknowledges the presence of choice in every moment and takes personal responsibility for their life.
Possesses an entrepreneurial spirit and continuously innovates to achieve great results. Communicates with honesty and kindness and creates the space for others to do the same. Leads with courage knowing the possibility of greatness is bigger than the fear of failure. Fosters connection by putting people first and building trusting relationships. Integrates fun and joy as a way of being and working aka doesnt take themselves too seriously.
Required Skills : Oracle
Basic Qualification :
Additional Skills :
This is a high PRIORITY requisition. This is a PROACTIVE requisition
Background Check : No
Drug Screen : No
Employment Type
Full-time
