
Data Systems Architect
1 week ago
As a Data Engineer at Burq, you will be working on building efficient and scalable data pipelines using tools like Airbyte, Airflow, and dbt. Your focus will be on integrating with Snowflake to create a seamless data flow across systems.
About the Role- You will design, build, and maintain efficient data warehousing solutions using Snowflake, ensuring that data is organized, secure, and accessible for analysis.
- Develop and implement automations and workflows to streamline data processing and integration.
- Collaborate with cross-functional teams to set up and maintain data infrastructure that supports both engineering and analytical needs.
This role requires proficiency in SQL and experience with data visualization tools such as Tableau. You should also have hands-on experience with data engineering tools and platforms including Snowflake, Airbyte, Airflow, and Terraform.
Key Responsibilities- Design and implement big data processing frameworks using Databricks and Apache Spark.
- Work closely with data analysts and other stakeholders to create, maintain, and optimize visualizations and reports using Tableau.
- Ensure the security and compliance of data systems, implementing best practices and leveraging tools like Terraform for infrastructure management.
We are looking for someone with a strong understanding of data warehousing, data pipelines, and database management. Experience with data streaming platforms like Kafka and data observability tools like Monte Cristo is also required.
If you have a solid understanding of data transformation tools like dbt and a proven track record of designing and implementing automation, workflows, and data infrastructure, we want to hear from you.
Benefits- Competitive salary
- Medical benefits
- Educational courses
We value diversity and are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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