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Data Engineer Ii Jobs

Company

Chewy

Address Boston, MA, United States
Employment type FULL_TIME
Salary
Category Retail
Expires 2023-08-07
Posted at 9 months ago
Job Description
Our Opportunity


Chewy is looking for a Data Engineer II to join our Data Engineering Team – HR Data division based in Boston, MA or Plantation, FL. The ideal candidate will be a well rounded technologist with a passion for building innovative business solutions with big data technologies. Experience delivering big data solutions – from system setup to development to business solution delivery – is critical. Programming experience is also paramount. Big data technologies are constantly evolving. The Data Engineer should be keeping up with the latest developments and should be able to connect technical capability with business need.


What You'll Do


  • Monitor and troubleshoot data mart issues and perform regular backups and disaster recovery procedures.
  • Review code, implementations and give meaningful feedback that helps others build better solutions
  • Write documentation on design, architecture and solutions
  • Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for analytics platform
  • Implement data ingestion routines both real time and batch using best practices in data modeling, ETL/ELT processes
  • Participate in technical decisions and collaborate with talented peers
  • Design analytical solutions for business users that provide the data needed to operate the business


What You'll Need


  • Experience performing analytics to solve complex business problems
  • Hand on experience delivering high performance distributed systems in public cloud environments
  • Position may require travel
  • SQL expertise and the ability to work with many different database types. Snowflake, Postgres, SQL Server, and others as required
  • 5+ years of experience integrating data between operational databases using data integration tools like Informatica, CloverDX, Datastage, Talend, Pentaho Data Integrator, or SSIS.
  • 5+ years of hands-on experience designing and developing scalable, high performing and fault-tolerant applications for large enterprises
  • 3+ years of hands-on experience with Snowflake and AWS cloud technologies, including AWS Redshift, AWS Glue, AWS Lambda, and AWS S3, EC2, ECS, Kenisis, DynamoDB, etc
  • 5+ years of experience with detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools
  • 5+ years of experience with data modeling in large Data warehousing, data lake environment
  • Expert level knowledge of data integration and familiarity with common data integration challenges like converting data types, handling errors, and translating between different technology stacks
  • 5+ years of experience in programming languages such as Python, Java, or Scala.
  • BS or masters in Computer Science, Mathematics, Engineering, or Information Technology
  • Experience in data warehouse design and data integration methodologies
  • Able to work in a fast-paced environment and be comfortable being accountable for work products


Bonus


  • Agile experience is a plus
  • Experience with Terraform
  • Experience with statistical methods and data science
  • Snowflake certification
  • Background in e-commerce
  • HR data and systems knowledge
  • Experience with business intelligence platforms (e.g. Tableau, etc.)


Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact [email protected].


If you have a question regarding your application, please contact [email protected].


To access Chewy's Customer Privacy Policy, please click here. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.