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Company | Chewy |
Address | Boston, MA, United States |
Employment type | FULL_TIME |
Salary | |
Category | Retail |
Expires | 2023-08-07 |
Posted at | 9 months ago |
Our Opportunity
- 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
- 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
- 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.)
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