Sr Data Engineer I
Framingham, MA, United States
Staples
Staples offers free next-day shipping with no minimum order on office supplies & furniture, ink, printing services, computers, & promotional products for business.Staples is business to business. You’re what binds us together.
Our digital solutions team is more than a traditional IT organization. We are a team of passionate, collaborative, agile, inventive, customer-centric, results-oriented problem solvers. We are intellectually curious, love advancements in technology and seek to adapt technologies to drive Staples forward. We anticipate the needs of our customers and business partners and deliver reliable, customer-centric technology services.
What you’ll be doing:
- Design, build and test end to end data pipeline including data ingestion (streaming, events, and batch), data integration, data curation.
- Build and support data platform on the cloud.
- Define and implement automation of jobs and testing.
- Optimize the data pipeline to support workloads and use cases.
- Support mission critical applications and near real time data needs from the data platform.
- Build and support reusable framework to ingest, integration and provision data.
- Capture and publish metadata and new data to subscribed users.
- Work collaboratively with product managers, data scientists as well as business partners and actively participate in solution thinking sessions.
- Participate in design and code reviews.
- Lead data disaster recovery planning and execution with the disaster recovery team and internal team members.
- Determine risk of various configurations and options for data administration and can communicate issues to managers and team.
- Lead and develop internal standards for data administration and data system documentation.
- Develop physical data design. Define, document, and execute, referential integrity requirements, constraints, and techniques. Identify index requirements and determine storage requirements.
What you bring to the table:
- Strong knowledge of Data Management and Data Analysis
- Strong interpersonal and communication skills
- Retail/e-comm experience
What’s needed- Basic Qualifications:
- Bachelor’s Degree
- 7+ years of Python, Pyspark experience
- 6+ years of Snowflake
- 7+ years of SQL experience
- 6+ years of Databricks
- 5+ years of experience with cloud computing (Microsoft Azure)
- 7+ years of experience in Agile practices
What’s needed- Preferred Qualifications:
- Master’s Degree
- Bias for action and a natural ability to work around impediments.
- Experience building multiple concurrent projects of high technical complexity
We Offer:
- Inclusive culture with associate-led Business Resource Groups
- Flexible PTO (22 days) and Holiday Schedule
- Online and Retail Discounts, Company Match 401(k), Physical and Mental Health Wellness programs, and more!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Azure Data analysis Databricks Data management PySpark Python Snowflake SQL Streaming Testing
Perks/benefits: 401(k) matching Flex hours Flex vacation Health care Team events Wellness
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