Data Engineer III

accurately and when needed.

• Work with multi-functional collaborators in defining and documenting requirements for building high-quality and impactful data products

• Reconcile data issues and alerts between various systems, finding opportunities to innovate and drive improvements

• Lead the evaluation, implementation, and deployment of emerging tools and technologies to improve our productivity as a team.

• Develop and deliver communication and education plans on data engineering capabilities, standards, and processes.

• Code, test, and document new or modified data systems to create robust and scalable applications for reporting and data analytics.

• Own and document data pipelines, monitoring, data accuracy and data lineage

What You'll Need:

• Bachelor's degree in Computer Science, Computer Engineering, or related field and 5+ years of experience developing Data Integration solutions required, or equivalent levels of relevant education and experience.

• This position requires shown experience in data warehousing practices and concepts as well as validated experience in dimensional and relational database modeling.

• 5+ years of Data Engineering experience focused on Data Modeling, Data Architecture, and Developing modern data pipelines and applications for reporting and analytics.

• Experience in working with retail data is a huge plus.

• 3+ years of professional Python experience.

• Experience in SQL, data warehouse, performance tuning, and ETL pipelines using AWS Glue, Control M, Pyspark, DBT and others.

• Experienced with setting up end-to-end data pipelines in an enterprise environment.

• Experience with Infrastructure, Scripting, and Architecture is very beneficial.

• Hands-on with Cloud computing technology like AWS, Google Cloud, etc.

• Experience with developing solutions for cloud computing services and infrastructure with AWS (S3, Athena, Glue, Lambda)

• Experience in Tableau, Looker, or similar visualization/business intelligence platform

• Ability to effectively operate both independently and as part of a team.

• Self-motivated with strong problem-solving and self-learning skills.

• E-com, Retail, or startup experience is a plus.

• The position may require travel

Bonus:

• PyTorch, JavaScript, D3.js & Restful API's

• Snowflake, Vertica, Postgres, etc.

• Exposure to Apache Airflow or other DAG or equivalent experience frameworks

• Expertise in designing and implementing data pipelines using modern data engineering approaches and tools: Spark, PySpark, Java, Docker, cloud-native DWH (Snowflake, Redshift), Kafka/Confluence, etc.

• Experience with CI/CD processes and platforms.

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].

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