Burq is a comprehensive delivery platform that enables businesses across various industries, including e-commerce, food, floral, health & wellness, and construction, to offer on-demand delivery services. By integrating with Burq, companies can connect seamlessly with multiple delivery providers, allowing them to scale quickly to new markets and improve customer satisfaction with same-day and efficient delivery options. Burq also provides advanced tracking technology and does not charge commissions, ensuring optimal delivery solutions for businesses. With a focus on easy integration and a broad network of delivery providers, Burq empowers businesses to offer reliable delivery services without the need to build their own infrastructure.
August 23, 2024
Apache
AWS
Azure
Cloud
ETL
Google Cloud Platform
MySQL
Postgres
Python
PyTorch
Scikit-Learn
Spark
SQL
Tableau
Tensorflow
Burq is a comprehensive delivery platform that enables businesses across various industries, including e-commerce, food, floral, health & wellness, and construction, to offer on-demand delivery services. By integrating with Burq, companies can connect seamlessly with multiple delivery providers, allowing them to scale quickly to new markets and improve customer satisfaction with same-day and efficient delivery options. Burq also provides advanced tracking technology and does not charge commissions, ensuring optimal delivery solutions for businesses. With a focus on easy integration and a broad network of delivery providers, Burq empowers businesses to offer reliable delivery services without the need to build their own infrastructure.
β’ Design, develop, and deploy machine learning models using Databricks and Apache Spark β’ Implement data preprocessing, feature engineering, and model training pipelines β’ Utilize dbt (data build tool) to transform and model data in Snowflake to prepare datasets for machine learning β’ Use SQL and Python to analyze large datasets, derive meaningful insights, and build training datasets β’ Conduct exploratory data analysis to identify trends, patterns, and anomalies β’ Develop and maintain ETL pipelines using Airbyte to ingest data from various sources into Snowflake β’ Manage and optimize data storage and retrieval using Delta Lake on Databricks to ensure efficient access for ML models β’ Create and maintain interactive dashboards and visualizations in Tableau to communicate model results and insights to stakeholders β’ Collaborate with data scientists to refine and improve machine learning models β’ Monitor and evaluate the performance of deployed models, ensuring they meet accuracy and performance standards β’ Work with relational databases such as MySQL and PostgreSQL for data storage and management as needed β’ Communicate complex technical concepts and results to non-technical stakeholders effectively
β’ Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field β’ Proficiency in SQL and Python β’ Experience with data integration tools like Airbyte β’ Strong knowledge of data warehousing concepts and hands-on experience with Snowflake β’ Experience with data transformation tools such as dbt β’ Proficiency in using Databricks and Apache Spark for big data processing and machine learning β’ Familiarity with Delta Lake for data lake management β’ Experience with data visualization tools like Tableau β’ Experience with relational databases like MySQL and PostgreSQL β’ Strong analytical and problem-solving skills β’ Excellent communication and teamwork abilities β’ Ability to work in a fast-paced and dynamic environment
β’ Competitive salary and opportunity for equity β’ Option to work fully remotely or in-person β’ Medical, dental and vision insurance β’ Reimbursement for educational courses
Apply NowJune 15, 2024
June 12, 2024
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