Data Engineering Expert
7 days ago
Data Engineering Expert - Transforming Advertising Experiences
About Us:At Activision Blizzard Media, we empower brands to connect with the world's largest gaming audience. Our innovative platform combines iconic franchises like Candy Crush, Call of Duty, and World of Warcraft with cutting-edge advertising technologies.
Job Overview:We are seeking a highly skilled Data Engineering Expert to join our Ads Engineering team. This role will focus on designing and building groundbreaking data pipelines, cloud-based data lakes, and warehouses that drive business growth and customer engagement.
Responsibilities:- Develop scalable data pipelines to collect, transform, store, analyze, explore, and visualize complex data sets.
- Craft and implement cloud-based data lakes and warehouses to support real-time analytics and decision-making.
- Collaborate with cross-functional teams to understand business requirements, data sources, use cases, and data models.
- Choose the right technology stack to align with business needs and scalability requirements.
- Design and implement alert and monitoring systems for faster disaster recovery and optimal system performance.
- Contribute to the development of data products with a focus on data quality and governance.
- Proven ability to lead and mentor engineers in a collaborative environment.
- Excellent communication skills to articulate complex technical concepts to diverse stakeholders.
- Experience in driving technical strategy and making impactful decisions.
- BA/BS degree in Computer Science or similar technical field of study.
- Strong experience in software development using Java or Python.
- Working experience in building data warehouses and data lakes.
- 8+ years of demonstrated ability working with relational databases like MySQL and Postgres.
- 4+ years of experience in NoSQL databases like Bigtable, Cassandra, and HBase.
- Expert-level SQL skills and database performance concepts.
- Extensive experience in relational and dimensional data modeling.
- Experience with developing ETL processes.
- Understanding of distributed computing frameworks like Apache Spark and Flink.
- Experience building data warehouse, data lake, and pipeline using Google Cloud Platform (GCP).
- Experience with large-scale distributed systems and big datasets.
- Experience in distributed computing framework – Hadoop, Spark, Flink, or Storm.
- Experience with messaging systems like Kafka and RabbitMQ.
- Knowledge of advertising platforms.
The estimated annual salary range for this role is $155,500 - $287,876. Compensation may vary based on factors such as location, experience, and performance. Additionally, employees may be eligible for incentive compensation and benefits packages, including comprehensive medical, dental, and vision coverage, 401(k) matching, and paid time off.
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