Data Engineer III Electronic Arts (EA)
Electronic Arts (EA)
Office Location
Full Time
Experience: 2 - 2 years required
Pay:
Salary Information not included
Type: Full Time
Location: Hyderabad
Skills: SQL, JavaScript, Python, ETL, Data Modeling, Snowflake, Data Processing, Data Mining, Streamlit, API integration, natural language processing NLP
About Electronic Arts (EA)
Job Description
Responsibilities Design and build scalable solutions for acquiring and integrating data to meet the functional and non-functional requirements of the business. Develop and maintain processes for extracting, transforming, and loading (ETL) data from various sources. Optimize data integration systems for performance as data volume grows. Collaborate with development teams to implement data strategies, data flows, and models. Establish and maintain data quality standards across systems. Analyze complex data to develop business intelligence solutions. Follow best practices and company guidelines for data integration and system development. Translate business needs into technical designs and implement them. Convert data models and design specs into functional code. Proficient in writing complex SQL queries and developing stored procedures using SQL, JavaScript and/or Python. Monitor and troubleshoot system performance, and integrate new features when needed. Provide support by addressing system issues promptly. Having strong Python skills to develop Streamlit applications, automate data workflows, and integrate APIs for efficient data processing is a plus. Apply prompt engineering techniques to improve NLP-driven tasks for better data querying and insights. Minimum Qualifications Bachelor's or Master's degree in IT, Computer Science, or equivalent experience. 7+ years of experience in data integration or similar roles. 5+ years of hands-on experience with ETL and data integration processes. 2+ years of experience in data modeling, both physical and relational. Advanced proficiency in Snowflake, including its advanced features and utilities. In-depth understanding of data structures, database systems, and data mining techniques. Proficiency in Python, with a focus on building Streamlit applications and automating data tasks and processes, is highly desirable. Experience with prompt engineering for natural language processing (NLP) applications is a plus.,