The opportunity

We are looking for a team player that can work independently but also be a mentor for engineers on the team. 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. We expect that you have had exposure and experience with big data pipeline engineering.

Come and join the team, and help us create meaningful data products and drive for technical solutions, with our global and cross-functional teams.

What you'll be doing

• Work closely with our BI team and stakeholders to design and develop analytics products and data solutions for internal and external customers.
• Design and develop scalable data pipelines using technologies such as Spark, Python, Airflow, Snowflake, BigQuery, DBT, Druid and others.
• Collaborate with cross-functional teams, including ML engineers, data scientists, and analysts, to understand business and data needs and translate them into data solutions that support data-driven insights and reporting.
• Implement best practices for data infrastructure, storage, and processing in a petabyte-scale environment.
• Work with multiple cloud platforms (GCP, AWS, Snowflake) to architect and develop cloud-based data solutions.
• Monitor and maintain pipelines to uphold internal service level agreements (SLAs).
• Implement data governance strategies to ensure data quality, consistency, and security across the organization.

What we're looking for

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Hands-on experience in data engineering, including designing and optimizing complex data pipelines.
• Proficient in SQL and programming languages such as Python, Scala, or Java.
• Experience with big data technologies (e.g., Flink, Spark) and cloud platforms (e.g., GCP preferred, AWS).
• Solid understanding of data warehousing concepts such as ETL/ELT, data modeling and data patterns such as SCD, CDC, snapshots, partitioning etc.
• Strong data architectural knowledge, comfort working across multiple repositories, services and environments.
• Comfortable navigating ambiguity and ownership of problem definitions.
• Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment.

You might also have

• Knowledge of Kafka or similar pub-sub technology.
• Experience in AdTech is a plus, but not required

Additional information

• International relocation support is not available for this position.

Life at Unity

As of the third quarter of 2024, more than 70% of the top 1,000 mobile games were made with Unity, and in 2024, Made with Unity applications had an average of 3.7 billion downloads per month. For more information, please visit Unity.

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

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.

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