- 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 cross-functional stakeholders 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.
- Deploy, evaluate, and refine data pipelines for ML/DS models at scale in a production environment.
- Explore structured/unstructured data sources to build a robust feature store to help scale model building process.
- Master's degree in Computer Science, Computer Engineering, or related field and 5 years of experience.
- Experience must include 3 years in the following: developing Data integration solutions;
- Data Engineering experience focused on Data Modeling, Data Architecture, and Developing modern data pipelines and applications for reporting and analytics;
- SQL, data warehouse, performance tuning, and ETL pipelines using AWS Glue, Pyspark;
- Infrastructure, Scripting, and Architecture;
- Experience in Tableau, Looker, or similar visualization/business intelligence platform;
- PyTorch, JavaScript, & Restful API's;
- Snowflake, Vertica, Postgres, etc.;
- Professional Python experience;
- Working with marketing data;
- Setting up end-to-end data pipelines in an enterprise environment;
- Cloud computing technology like AWS, Google Cloud, etc.;
- Exposure to Apache Airflow or other DAG frameworks;
- MarTech Knowledge.
- Experience must also include: Media Mix Modelling and Marketing Attribution; and
- Understanding of link tracking, pixels/tags, Google Analytics, and marketing attribution.
- The position is eligible for the Employee Referral Program.
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Marketing Data Engineer III - Plantation, United States - Chewy
Description
Our Opportunity:
We are looking for a Marketing Data Engineer III at our facility in Plantation, Florida, to implement the strategy, design, execution, system configuration, and operations of the business's marketing databases that help marketers in data-driven decision making.
What You'll Do:
What You'll Need:
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
If you have a question regarding your application, please contact
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Marketing Data Engineer III professionals in Stamford
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Andrew Snopkowski
Sr Manager - Pricing Analytics, Benjamin Moore
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Shivani Agrawal
Data Analyst