Data Backend Engineer - Product Monetization (Remote - Ireland)
AI Summary ✨
Requirements
Experience writing code in a modern object-oriented programming language (e.g., Python, Java, or C++).
Strong problem-solving and critical-thinking skills.
Comfortable in navigating and understanding complex codebases and distributed systems.
Ability to communicate effectively to technical and non-technical cohorts alike.
Self-motivated with a proactive approach to identifying opportunities and recommending scalable, creative solutions.
Nice to Haves
Exposure to some of the following technologies: Python, AWS Redshift, AWS Athena / Apache Presto, Big Data technologies (e.g S3, Hadoop, Hive, Spark, Flink, Kafka etc), NoSQL systems like Cassandra, DBT is nice to have.
What You'll Be Doing
Contribute to the experimentation and development of new ad products at Yelp.
Design, build, and maintain efficient data pipelines using large-scale processing tools like Apache Spark to transform ad-related data.
Manage high-volume, real-time data streams using Apache Kafka and process them with frameworks like Apache Flink.
Estimate timelines for projects, feature enhancements, and bug fixes.
Work with large-scale data storage solutions, including Apache Cassandra and various data lake systems.
Collaborate with cross-functional teams, including engineers, product managers and data scientists, to understand business requirements and translate them into effective system designs.
Support on-call rotations as needed to operate the team.
Perks and Benefits
Full responsibility for projects from day one, a collaborative team, and a dynamic work environment.
Competitive salary, a pension scheme, and an optional employee stock purchase plan.
25 days paid holiday (rising to 29 with service), plus one floating holiday.
€150 monthly reimbursement to help cover remote working expenses.
€95 caregiver reimbursement to support dependent care for families.
Private health insurance, including dental and vision.
Flexible working hours and meeting-free Wednesdays.
Regular 3-day Hackathons, bi-weekly learning groups, and productivity spending to support and encourage your career growth.
Opportunities to participate in digital events and conferences.
€95 per month to use toward qualifying wellness expenses.