Data Innovator

22 hours ago

Lahore, Punjab, Pakistan beBeeData Full time
About the Role

Burq aims to simplify complex delivery processes. To achieve this, we are building a vast network of delivery services, partnering with major players in the industry.

Our vision is to make it easy for businesses to integrate our network and offer delivery services to their customers. We are currently powering deliveries for some of the fastest-growing companies across various sectors.

We're seeking talented professionals to help us scale our operations and drive growth. If you're passionate about data engineering and want to be part of a dynamic team, we'd love to hear from you.

At Burq, we value diversity and strive to create an inclusive work environment. As an equal opportunity employer, we welcome applicants from diverse backgrounds and perspectives.


Key Responsibilities
  1. Design and maintain efficient data pipelines using tools like Airbyte, Airflow, and dbt, with a focus on integrating with Snowflake.
  2. Manage and optimize data warehousing solutions using Snowflake, ensuring data is organized, secure, and accessible for analysis.
  3. Develop and implement automation and workflows to streamline data processing and integration, ensuring seamless data flow across systems.
  4. Collaborate with cross-functional teams to set up and maintain data infrastructure that supports both engineering and analytical needs.
  5. Utilize Databricks and Spark for big data processing, ensuring data is processed, stored, and analyzed efficiently.
  6. Monitor data streams and processes using Kafka and Monte Cristo, ensuring data quality and integrity.
  7. Work closely with data analysts and other stakeholders to create, maintain, and optimize visualizations and reports using Tableau, ensuring data-driven decision-making.
  8. Ensure the security and compliance of data systems, implementing best practices and leveraging tools like Terraform for infrastructure management.

Requirements
  • Proficiency in SQL and experience with data visualization tools such as Tableau.
  • Hands-on experience with data engineering tools and platforms including Snowflake, Airbyte, Airflow, and Terraform.
  • Strong programming skills in Python and experience with data transformation tools like dbt.
  • Familiarity with big data processing frameworks such as Databricks and Apache Spark.
  • Knowledge of data streaming platforms like Kafka.
  • Experience with data observability and quality tools like Monte Cristo.
  • Solid understanding of data warehousing, data pipelines, and database management, with specific experience in Snowflake.
  • Ability to design and implement automation, workflows, and data infrastructure.
  • Strong analytical skills with the ability to translate complex data into actionable insights, particularly using Tableau.
  • Excellent problem-solving abilities and attention to detail.

Benefits

Investing in your professional growth:

  • Competitive salary
  • Medical benefits
  • Educational courses

Generous time-off policy allows you to recharge and pursue your interests.

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