data engineer for marketing data

Описание: Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals faster. Задачи: Design, implement, and scale end-to-end data products supporting growing data processing and analytical needs; Influence best practices in Databricks and cloud-based data engineering, driving innovation and adoption across teams; Leverage AI to build self-serve tools and accelerate Data/GTM workflows; Establish trust and strong relationships across business and technical teams, ensuring alignment on data strategy and execution; Implement systems that guarantee data quality, governance, and availability. Требования: 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 such as Databricks, Spark, and Airflow; Fluent in SQL and proficient in at least one modern programming language, such as Python, Scala, or Java; Proactive self-starter able to identify opportunities, propose innovative solutions, and execute them effectively; Excellent communication skills, with the ability to clearly articulate complex technical concepts to non-technical stakeholders; Curious about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. Условия: Base salary and Restricted Stock Units for Asana Inc; Contract of Employment (UoP) in Poland; 50% Tax-deductible costs for author’s rights usage for Engineers; Health insurance with dental and travel coverage through Lux Med; Lunch catering on office days; Career growth budget; Home office setup budget; Gym and fitness reimbursement; Fertility healthcare and family-forming support with Carrot; Mental health support through Modern Health; Group life insurance; MacBook with necessary accessories; Office-centric hybrid schedule with standard in-office days on Monday, Tuesday, and Thursday; most employees can work from home on Wednesdays, while Fridays depend on the type of work.