Our Opportunity:

Chewy Customer Experience Analytics group is looking for a Sr. Data Engineer to play a key role in building their industry leading Customer Service Analytics Platform. Are you passionate about Big Data and highly scalable data platforms? Do you enjoy building end to end Analytics solutions to help drive business decisions? And if you have experience in building and maintaining highly scalable data warehouses and data pipelines with high transaction volumes then we need you!!!

What you'll do:

• Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for analytics and deep learning.
• Implement data ingestion routines both real time and batch using best practices in data modeling, ETL/ELT processes.
• Provide on-line reporting and analysis using business intelligence tools and a logical abstraction layer against large, multi-dimensional datasets and multiple sources.
• Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture.
• Produce comprehensive, usable data-set documentation, metadata, BI reports and insights.
• Provides input and recommendations on technical issues to the project manager.

What you'll need:

• 7+ years of experience with detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools.
• 4+ years of work experience with very large data warehousing environment
• 4+ years of experience with data modeling in large Data warehousing, data lake environment
• 2+ years of Python and/or Java development experience
• Exposure to Big Data stack environments (EMR, Hadoop, MapReduce, Hive)
• Exposure and understanding of MapReduce and/or Spark jobs
• Demonstrated strength in architecting data warehouse solutions and integrating technical components
• Good analytical skills with excellent knowledge of SQL.
• Excellent communication skills, both written and verbal

Bonus:

• Experience in gathering requirements and formulating business metrics for reporting.
• Experience with Kafka, Flume and AWS tool stack such as redshift and kinesis are preferred.
• Experience building on AWS using S3, EC2, Redshift, DynamoDB, Lambda, QuickSight, etc.
• Experience using software version control tools (Git, Jenkins, Apache Subversion)
• AWS certifications or other related professional technical certifications
• Experience with cloud or on-premise middleware and other enterprise integration technologies

If you have a disability under the Americans with Disabilities Act or similar law, or you require a religious accommodation, and you wish to discuss potential accommodations related to applying for employment at our company, please contact [email protected].

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