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About This RoleAI processing…
The Data Engineering team’s mission is to ensure high-quality data to enable data-informed decision-making across Asana. You will build data artifacts that are leveraged by a wide range of stakeholders in the marketing domain, and create frameworks and tooling used by all data and analytics engineering teams. In this role, you will also partner both with business stakeholders and with the Data Infrastructure team.
Key Responsibilities
- 1Design, implement and scale end-to-end data products that support growing data processing and analytical needs.
- 2Influence best practices in Databricks and cloud-based data engineering, driving innovation and adoption across teams.
- 3Leverage AI to build self-serve tools and accelerate Data/GTM workflows.
- 4Establish trust and strong relationships across business and technical teams, ensuring alignment on data strategy and execution.
- 5Implement systems that guarantee data quality, governance, and availability.
Requirements
- 3+ years of hands-on experience in Data Engineering or Software Engineering.
- Degree in computer science, engineering or equivalent technical field experience.
- Proficient in cloud-based data processing and storage technologies like Databricks, Spark, Airflow.
- Fluent in SQL and proficient in at least one modern programming language (e.g., Python, Scala, Java).
- About you 3+ years of hands-on experience in Data Engineering or Software Engineering.
- The actual base salary will vary based on various factors and individual qualifications objectively assessed during the interview process.
Perks & Benefits
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