Data Engineer III
Data Engineer III
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Job Description
Our Opportunity:
Chewy is growing! TheMerch Analytics Team is looking for a Senior Data Engineer (Data Engingeer III) to join the pack. In this role you will demonstrate your extensive expertise in data engineering will be integral in building and maintaining highquality data pipelines that enable development of insights data visualization models and other analytical products. To deliver this you will develop and implement advanced data products and technologies that scale to meet the needs of our evolving business. Our fastpaced environment presents continuous new challenges and opportunities.
What Youll Do:
- Implement the strategy design system configuration of our promotion and ordering data
- Monitor data pipelines for accuracy missing data enhancements changes and billing volumes to ensure all data is captured and processed accurately and when needed.
- Work with multifunctional collaborators in defining and documenting requirements for building highquality 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 Youll Need:
- Bachelors 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 endtoend data pipelines in an enterprise environment.
- Experience with Infrastructure Scripting and Architecture is very beneficial.
- Handson 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.
- Selfmotivated with strong problemsolving and selflearning skills.
- Ecom Retail or startup experience is a plus.
- The position may require travel
Bonus:
- PyTorch JavaScript D3.js & Restful APIs
- 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 cloudnative DWH (Snowflake Redshift) Kafka/Confluence etc.
- Experience with CI/CD processes and platforms.
Employment Type
Full Time
