Our Opportunity:

Chewy is seeking a highly motivated, goal-oriented, and analytical, Data Engineer to join our exciting and fast paced company in Boston, MA. Our team is growing and if you are equally passionate about data analysis, digital marketing, e-commerce, and career growth, an opportunity at Chewy may be a great match! As the Data Engineer, you will be focused on solving business problems by developing andi mplementing best-in-class fraud prevention pipelines and analytical tools.. In this role,you will be the Data engineering expert for identifying and retooling suitable machine learning algorithms that can enhance the fraud risk ranking of particular transactions and/or applications for new products. You will cooperate with cross-functional teams across the organization in finding insights and developing the right data solutions. In this role, you should be effective at organizing large amounts of data from multiple data sources and build predictive and machine learning models from these large data sets, in order to support solutions of business problems. Your expertise and insights will help us effectively utilize data assets and analytical capabilities to control fraud loss andimprove customer experience.

What you’ll do:

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across boundaries through multiple data centers and AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

What you’ll need

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
• Candidate must be organized, driven, and exhibit critical thinking skills.
• Candidate must have an entrepreneurial and self-starting mentality.
• Position may require travel

Bonus:

• Knowledge of Atlassian suite of tools (Jira, Bamboo, Confluence)
• Experience working in Agile teams (Scrum, Kanban)
• Experience in working with digital marketing channels in an eCommerce environment.
• Knowledge of / experience with multi-channel and cross-channel attribution.
• Extensive CLI and UNIX experience – we live in the terminal!
• Knowledge of VM test environments and/or cloud-based compute environments