Activision
Senior Staff Software Engineer (Data) - Activision Blizzard Media
Activision, San Francisco, California, United States, 94199
Senior Staff Software Engineer (Data)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 such as World of Warcraft, Call of Duty, and StarCraft. The idea is simple: great game experiences offer great marketing experiences.We are seeking a Senior Staff Data Engineer in our Ads Engineering team, crafting groundbreaking mobile advertising technologies to build the next generation of our Ads Platform.Responsibilities
Design and build Data Pipelines to collect, transform, store, analyze, explore and visualize.Craft and build cloud-based data lakes and data warehouses.Work with the product team to understand data sources, use cases and data models.Choose the right technology stack to align with those use cases with scalability.Collaborate with the other team members across different teams.Develop alert & monitoring systems and procedures for faster disaster recovery.Build and contribute to data products with focus on data Quality and data Governance.Leadership and Communication
Proven ability to lead and mentor engineers in a collaborative environment.Excellent at articulating complex technical concepts to diverse stakeholders.Experienced in driving technical strategy and making impactful decisions.Qualifications
BA/BS degree in Computer Science, similar technical field of study or equivalent practical experience.Strong experience in Software Development in Java or Python.Working experience in building data warehouses and data lakes.8+ years of demonstrated ability working with relational databases such as MySQL, Postgres etc.4+ years of experience in NoSQL databases like Bigtable, Cassandra, HBase etc.Expert level SQL skills and database performance concepts.Extensive experience in relational and dimensional data modeling.Experience with developing extract-transform-load (ETL).Understanding of distributed computing frameworks like Apache Spark and Flink.Should be able to communicate and articulate their thought process optimally with 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.Knowledge of advertising platforms.Rewards
We provide a suite of benefits that promote physical, emotional and financial well-being for ‘Every World’ - we’ve got our employees covered! Subject to eligibility requirements, the Company offers comprehensive benefits including:Medical, dental, vision, health savings account or health reimbursement account, healthcare spending accounts, dependent care spending accounts, life and AD&D insurance, disability insurance;401(k) with Company match, tuition reimbursement, charitable donation matching;Paid holidays and vacation, paid sick time, floating holidays, compassion and bereavement leaves, parental leave;Mental health & wellbeing programs, fitness programs, free and discounted games, and a variety of other voluntary benefit programs like supplemental life & disability, legal service, ID protection, rental insurance, and others;If the Company requires that you move geographic locations for the job, then you may also be eligible for relocation assistance.Eligibility to participate in these benefits may vary for part time and temporary full-time employees and interns with the Company. You can learn more by visiting
https://www.benefitsforeveryworld.com/ .In the U.S., the standard base pay range for this role is $155,500.00 - $287,876.00 Annual. These values reflect the expected base pay range of new hires across all U.S. locations. Ultimately, your specific range and offer will be based on several factors, including relevant experience, performance, and work location. Your Talent Professional can share this role’s range details for your local geography during the hiring process. In addition to a competitive base pay, employees in this role may be eligible for incentive compensation. Incentive compensation is not guaranteed. While we strive to provide competitive offers to successful candidates, new hire compensation is negotiable.
#J-18808-Ljbffr
Design and build Data Pipelines to collect, transform, store, analyze, explore and visualize.Craft and build cloud-based data lakes and data warehouses.Work with the product team to understand data sources, use cases and data models.Choose the right technology stack to align with those use cases with scalability.Collaborate with the other team members across different teams.Develop alert & monitoring systems and procedures for faster disaster recovery.Build and contribute to data products with focus on data Quality and data Governance.Leadership and Communication
Proven ability to lead and mentor engineers in a collaborative environment.Excellent at articulating complex technical concepts to diverse stakeholders.Experienced in driving technical strategy and making impactful decisions.Qualifications
BA/BS degree in Computer Science, similar technical field of study or equivalent practical experience.Strong experience in Software Development in Java or Python.Working experience in building data warehouses and data lakes.8+ years of demonstrated ability working with relational databases such as MySQL, Postgres etc.4+ years of experience in NoSQL databases like Bigtable, Cassandra, HBase etc.Expert level SQL skills and database performance concepts.Extensive experience in relational and dimensional data modeling.Experience with developing extract-transform-load (ETL).Understanding of distributed computing frameworks like Apache Spark and Flink.Should be able to communicate and articulate their thought process optimally with 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.Knowledge of advertising platforms.Rewards
We provide a suite of benefits that promote physical, emotional and financial well-being for ‘Every World’ - we’ve got our employees covered! Subject to eligibility requirements, the Company offers comprehensive benefits including:Medical, dental, vision, health savings account or health reimbursement account, healthcare spending accounts, dependent care spending accounts, life and AD&D insurance, disability insurance;401(k) with Company match, tuition reimbursement, charitable donation matching;Paid holidays and vacation, paid sick time, floating holidays, compassion and bereavement leaves, parental leave;Mental health & wellbeing programs, fitness programs, free and discounted games, and a variety of other voluntary benefit programs like supplemental life & disability, legal service, ID protection, rental insurance, and others;If the Company requires that you move geographic locations for the job, then you may also be eligible for relocation assistance.Eligibility to participate in these benefits may vary for part time and temporary full-time employees and interns with the Company. You can learn more by visiting
https://www.benefitsforeveryworld.com/ .In the U.S., the standard base pay range for this role is $155,500.00 - $287,876.00 Annual. These values reflect the expected base pay range of new hires across all U.S. locations. Ultimately, your specific range and offer will be based on several factors, including relevant experience, performance, and work location. Your Talent Professional can share this role’s range details for your local geography during the hiring process. In addition to a competitive base pay, employees in this role may be eligible for incentive compensation. Incentive compensation is not guaranteed. While we strive to provide competitive offers to successful candidates, new hire compensation is negotiable.
#J-18808-Ljbffr