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Staff Data Engineer - Activision Blizzard Media
2 years ago
Team Name:
Job Title:
Staff Data Engineer - Activision Blizzard MediaRequisition ID:
R009977Job Description:
Activision Blizzard Media is the gateway for brands to the #1 cross-platform gaming company in the western world, with hundreds of millions of players across over 190 countries.
Our legendary portfolio includes iconic mobile game franchises such as Candy Crush™, esports opportunities like the Call of Duty® and Overwatch® Leagues, and some of the top PC and console gaming franchises such as World of Warcraft®, Call of Duty®, and StarCraft®.
The idea is simple: great game experiences offer great marketing experiences.
If you want to create amazing user experiences using the latest technologies, then this is the right job for you. You're an excellent communicator, happy to work with people from several different business units. You can translate business needs into technical requirements and implementation. We are problem solvers, constantly reviewing how and why we do things and learning from each other. We are experimental, trying out new tech and ideas and willing to take risks to drive the entire industry forward. We are sociable and fun, and we like to hang out together. We are passionate, some might even say quirky, and while we love what we do, our lives are about more than work. We love games, and are obsessed with creating the best player experience.
Responsibilities
- Design and build cloud-based data lakes and data warehouses.
- Design and build Data Pipelines to collect, transform, store, analyze, explore and visualize.
- Work with the product team to understand data sources, use cases and data models.
- Choose the right technology stack to align with the use cases and scalability.
- Collaborate with the other team members across different teams.
- Develop alert & monitoring systems and procedures for faster disaster recovery.
- Provide technical directions and mentor other engineers
Qualifications
- BA/BS degree in Computer Science, similar technical field of study or equivalent practical experience.
- Working experience in building data warehouses and data lakes.
- 5+ years of experience in working with relational databases such as MySQL, Postgres etc.
- 2+ years of experience in NoSQL databases like Bigtable, Cassandra, HBase etc.
- Expert level SQL skills and database performance concepts.
- Experience in relational and dimensional data modeling.
- Experience with developing extract-transform-load (ETL).
- Understanding of distributed computing frameworks like Apache Spark and Flink.
- Experience in Software Development in Java or Python
- Should be able to communicate and articulate his/her thought process effectively with the other team members.
Preferred Qualifications
- Experience building data warehouse, data lake and data pipeline using Google Cloud Platform (GCP)
- Experience with large scale distributed systems with large datasets.
- Experience in distributed computing framework – Hadoop, Spark, Flink or Storm
- Experience with messaging systems like Kafka and RabbitMQ
- Basic understanding of machine learning concepts and lifecycle.
Knowledge of advertising platforms.
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