Python Developer, Data Engineer

March 12

Sauce

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Sauce is a direct online ordering platform & delivery network that significantly boosts margins for local restaurants

51 - 200

Description

• Work with the BI team to help with Sauce's digital transformation, to become a fully data-driven company • Improve and optimize Sauce's DWH to be more structured and fully documented • Transform Sauce's stage/raw layer processing code, define input schemas, and add data quality tests • Resolve data dependencies with Airflow v2, define dag structure and dag templates • Develop tech reports in Databricks about data consistency and pipeline performance • Help business stakeholders build dashboards and analyze our data

Requirements

• 3+ years experience building data pipelines, data infrastructures, data quality pipelines, and alerting pipelines • Experience with ETL tools and data pipelines (e.g. Azure Databricks, Azure Data Factory, Airflow) • Hands-on experience with data profiling and data quality methods, based on Python libs (pandas, statsmodels, scikit-learn) • Proficient in SQL, Python - this is a must • Ideal but not required: Experience with data quality and data prediction (like prophet lib) • Experience with Databricks, Airflow2 • Experience with cloud infrastructure (Azure, AWS, GCP), DevOps practices

Benefits

• Experience at a fast growing startup with a very modern BI architecture and the latest technologies • Ability to work with and learn about BI tools and build new processes from scratch • Ability to apply the best techniques and implement them throughout our global R&D teams • Work directly with business stakeholders, directors, product managers and the CEO • Endless potential for growth as the company moves forward • Strong & Competitive Compensation Package • Flexible Work Environment • Up to 10 Paid Sick Days • Up to 15 Paid Personal/Vacation Days