Job Description

Data Engineer
Location: EA, Hyderabad

EA Mobile is one of the most iconic brands in entertainment with over 25 years of innovation, passion, and connecting millions of players across the globe. Slingshot Games takes great pride in being one of the key studios for EA Mobile\'s strategic growth plans. Slingshot partners with an expansive roster of EA Mobile studios and incubation & production teams to work on some of the biggest IPs such as Battlefield, FIFA, and Need for Speed.

We are looking for an experienced Data Engineer with broad technical skills to dive deep into large amounts of data and the influence main decisions with data-driven insights. Reporting to the Manager, Analytics, you will be an important part of Slingshot Studios, which develops amazing mobile sports experiences for millions of players around the globe.

Responsibilities:

• As a Data Engineer, you will be involved in the entire development life cycle, from brainstorming ideas to implementing elegant solutions to find data insights.
• You will gather requirements, model, and design solutions to support reporting analytics and exploratory analysis.
• You will design efficient, scalable, and reliable data pipelines to move and transform data.
• You will work with analysts, understand requirements, and develop technical specifications for ETLs, including documentation.
• You will support analytical processes, including data table/schemas creation, ETL monitoring, query testing, dashboard creation, and reports generation.
• You will oversee the use of new technologies and applications we use to integrate solutions.
• You will promote strategies to improve our data modelling, quality, and architecture.
• You will participate in every step of the development life cycle, including collecting requirements, design, testing of data products, and iteration based on user feedback.

• 4+ years of relevant industry experience in a data engineering role with a graduate degree in Computer Science, Informatics, Information Systems, or another quantitative field.
• Proficiency in writing SQL queries and knowledge of cloud-based databases like Snowflake, Redshift, Big Query, or other big data solutions.
• Your experience in data modelling, ETL processes, and data warehousing help us to achieve more.
• Experience with at least one programming language like Python or Java
• Experience with business intelligence tools like Power BI, Looker, Tableau, or similar BI tools.
• Experience in the physical and logical design of database architecture for relational databases, data warehouses, and data lakes.
• Knowledge of the latest data pipeline tools such as Airflow.
• Help us in developing APIs and integrating with 3rd party APIs

Electronic Arts