Senior Engineer, Data Engineering
Job ID:
240167
Location Name:
FSC REMOTE SF/NY/DC -173(USA_0173)
Address:
FSC, Remote, CA 94105, United States (US)
Job Type:
Full Time
Position Type:
Regular
Job Function:
Information Technology
Remote Eligible: Yes
Company Overview:
At Sephora we inspire our customers, empower our teams, and help them become the best versions of themselves. We create an environment where people are valued, and differences are celebrated. Every day, our teams across the world bring to life our purpose: to expand the way the world sees beauty by empowering the Extra Ordinary in each of us. We are united by a common goal - to
reimagine the future of beauty .
The Opportunity:
Technology
Our technology team works fast and smart. With San Francisco as our home, we take bringing new tech to market seriously, developing the latest in mobile technologies, scalable architecture, and the coolest in-store client experience. We love what we do and we have fun doing it. The Technology group is comprised of motivated self-starters and true team players that are absolutely integral to the growth of Sephora and our future success.
Your role at Sephora:
As a Sr. Software Engineer you will design and implement innovative analytical solutions and work alongside the product engineering team, evaluating new features and architecture. Reporting to the Engineering Manager, Data Platform, you will work closely with other team members like data architects and business analysts to understand what the business is trying to achieve, move data from source to target, and design optimal data models. You will be also responsible for building and maintaining the data platform. This hands-on technical role demands excellent knowledge and can demonstrate best practices in the industry. Come be a part of a team that is starting this new journey.
Responsibilities:
Streamline the intake of the raw data into our Azure Data lake.
Perform production support and deployment activities.
Proactively drive the execution of our core data engineering, business intelligence, and data warehouse frameworks
Build data pipelines from systems such as CRM, Ecommerce etc. with the emphasis on scalability and reliability
Leverage central data warehouse along with other data sources to create enriched customer information into CRM system
Understand and translate business needs into data models to support long-term, scalable, and reliable solutions
Create logical and physical data models using best practices to ensure high data quality and reduced redundancy
Drive data quality across the organization; develop best practices for standard naming conventions and coding practices to ensure consistency of data models and tracking
Define and manage SLA's for data sets and processes running in production
Continuously improve our data infrastructure and stay ahead of technology
Design a system for data backup in case of system failure
Build strong cross-functional partnerships with Data Scientists, Analysts, Product Managers and Software Engineers to understand data needs and deliver on those needs
We are excited about you if you have:
5+ years of experience with large scale data warehouse projects .
Advanced Proficiency in Scala, Spark and SQL.
Excellent knowledge in data structures and design patterns
Preferred experience with data integration tools
Experience working with Retail/CRM/Finance datasets preferred
Knowledge in designing facts, dimensions, snapshots, SCDs, etc
Write SQL for processing raw data, data validation and QA
Knowledge working with APIs to collect or ingest data
Strong Database knowledge, SQL & No-SQL preferred
Communication Skills Data Engineers are part of a team, working with database administrators, data analysts and management and need to be effective communicators.
Attention to Detail Databases are complex, and a minute error can cause huge problems.
Problem-Solving Skills Data Engineers look at an issue that needs to be solved and come up with solutions quickly.
Experience designing and implementing cloud based and SaaS data warehouse (e.g. WS, Hadoop, NoSQL) and developing ETL/ELT pipelines
Experience integrating and building data platform in support of BI, Analytics, Data Science, and real-time applications
Strong communication skills, with the ability to initiate and drive projects proactively and accurately
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