Senior Data Engineer, Unity

• Unity Ads Data Engineering team is looking for an experienced Senior Data Engineer with a strong background in Data Engineering and a passion for working on cutting edge technology
• We are looking for a team player that can work independently but also be a mentor for engineers on the team
• We expect that you have had exposure and experience with big data pipeline engineering
• A Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• Proven experience in data engineering, with a strong focus on building scalable, efficient data pipelines
• Proficiency in SQL and experience with programming languages such as Python, Scala, or Java
• Hands-on experience with big data technologies like Flink and Spark, as well as cloud platforms (experience with GCP is preferred, but AWS is also a plus)
• Strong understanding of data warehousing concepts, including ETL/ELT processes, data modeling, and patterns like SCD, CDC, snapshots, partitioning, etc
• Solid data architecture skills, with experience working across multiple repositories, services, and environments
• Ability to navigate ambiguity and take full ownership of problem definitions and solutions
• Exceptional problem-solving abilities with a proven ability to thrive in a fast-paced, dynamic environment
• This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English

Desirable

• As a Senior Data Engineer, you will be responsible for the design and development of data pipelines and services to enable data-driven insights and power BI, ML, experimentation and user-facing features
• You will be exposed to multiple cloud platforms and data pipelines that process >7 billion events per day
• Come and join the team, and help us create meaningful data products and drive for technical solutions, with our global and cross-functional teams
• Collaborate closely with our BI team and key stakeholders to design and develop analytics products and data solutions for both internal and external customers
• Design and build scalable data pipelines using a variety of technologies such as Spark, Python, Airflow, Snowflake, BigQuery, DBT, Druid, and others
• Work cross-functionally with ML engineers, data scientists, and analysts to understand business objectives and data needs, translating them into solutions that drive data insights and reporting
• Apply industry best practices for data infrastructure, storage, and processing in a petabyte-scale environment
• Leverage cloud platforms (GCP, AWS, Snowflake) to architect and develop cloud-based data solutions that are reliable and efficient
• Proactively monitor and maintain data pipelines to ensure they meet internal service level agreements (SLAs)
• Implement and uphold data governance strategies to ensure data quality, consistency, and security across the organization