Data Engineer

13 hours ago


Lahore, Punjab, Pakistan Burq Full time
About Burq

Burq's mission is to revolutionize the delivery industry by offering a seamless turnkey solution. Our vision is to empower businesses to provide exceptional customer experiences through our extensive network of delivery partners.

We have achieved significant milestones, partnering with leading delivery companies and creating a user-friendly platform for businesses to integrate our services. Today, we power deliveries for some of the fastest-growing companies across various industries.

As we continue to grow, we are looking for talented professionals who share our passion for innovation and excellence. If you are an individual who thrives in a dynamic environment and is eager to contribute to a cutting-edge project, we invite you to join our team.

Our values are built around teamwork, autonomy, and a commitment to delivering high-quality results. We believe in fostering a culture that encourages collaboration, creativity, and continuous learning. By joining Burq, you will have the opportunity to work on challenging projects, develop your skills, and make a meaningful impact on our business.

Key Responsibilities:

Job Summary:
The AI/ML Engineer will play a crucial role in designing, developing, and deploying machine learning models and data pipelines. The ideal candidate will take full ownership of the project, from problem definition to delivering production-grade solutions.

Key Responsibilities:
1. Design, develop, and deploy machine learning models using Databricks and Apache Spark
2. Implement data preprocessing, feature engineering, and model training pipelines
3. Utilize dbt (data build tool) to transform and model data in Snowflake to prepare datasets for machine learning
4. Use SQL and Python to analyze large datasets, derive meaningful insights, and build training datasets
5. Conduct exploratory data analysis to identify trends, patterns, and anomalies
6. Develop and maintain ETL pipelines using Airbyte to ingest data from various sources into Snowflake
7. Manage and optimize data storage and retrieval using Delta Lake on Databricks to ensure efficient access for ML models
8. Create and maintain interactive dashboards and visualizations in Tableau to communicate model results and insights to stakeholders
9. Collaborate with data scientists to refine and improve machine learning models
10. Monitor and evaluate the performance of deployed models, ensuring they meet accuracy and performance standards
11. Work with relational databases such as MySQL and PostgreSQL for data storage and management as needed
12. Communicate complex technical concepts and results to non-technical stakeholders effectively

Requirements:
  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field
  • Proficiency in SQL and Python
  • Experience with data integration tools like Airbyte
  • Strong knowledge of data warehousing concepts and hands-on experience with Snowflake
  • Experience with data transformation tools such as dbt
  • Proficiency in using Databricks and Apache Spark for big data processing and machine learning
  • Familiarity with Delta Lake for data lake management
  • Experience with data visualization tools like Tableau
  • Experience with relational databases like MySQL and PostgreSQL
  • Strong analytical and problem-solving skills
  • Excellent communication and teamwork abilities


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