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Associate Technical Director, Data Engineering
3 years ago
Development Technology and Services (DTS) powers EA studios to create even greater player experiences. We help shape the future from the way games are created, to how they are played and viewed.
We are a global team and also the largest studio within EA! DTS proudly consists of the following teams: Engineering Services (ES), Studios Data Insights, and Quality, Verification, and Standards.
Reporting to the Technical Director, this role will lead a small team of engineers to promote and implement the analytical solutions.
Responsibilities:
- You are accountable for all data pipelines and the overall quality of the data solutions that Analytics Solutions supports.
- You will manage and mentor team of data engineers, including help to hire and grow the team
- You will be involved in the entire development life cycle from brainstorming ideas to implementing elegant solutions to derive data insights
- You will work with analysts, understand requirements, model and design solutions, build, and launch efficient, scalable and reliable data pipelines
- You will be responsible to support production code to produce comprehensive and accurate data artifacts.
- You will oversee the process of adoption of new technologies and applications we use to collect, integrate, analyze, and deliver relevant analytical solutions.
- You will guide communications between business partners and studio engineers to provide scalable end-to-end solutions.
- You will promote strategies to improve our data quality and efficiency
Qualifications:
- Bachelor’s degree in Computer Science or related technical field
- 7+ years relevant industry experience in data engineering, data science or related field
- 2+ years of technical leadership experience leading successful engineering teams
- Experience with big data technologies and solutions(Snowflake, Redshift, BigQuery) and scripting languages(Python, YAML)
- Experience in data modeling, knowledge of data warehousing and ETL concepts.
- High proficiency in writing SQL queries
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