Data Engineer II, Global Converse, ITC

WHO YOU'LL WORK WITH

This role typically reports to a Senior Manager Data Engineering within Global Converse, ITC. You will partner with teammates across Engineering, Product & Platform Teams to ensure that the ecosystem of data meets the needs of the business.

WHO WE ARE LOOKING FOR

We are seeking a Data Engineer to be part of a mission critical team within Global Converse, ITC. Utilizing consistent, curated data, you will deliver meaningful consumer and enterprise experiences partnering across Engineering, Product & Platform Teams to deliver meaningful consumer and enterprise experiences. The candidate needs to have strong communication skills, help solve complex problems, and be a collaborative teammate.

Qualifications Required:

• A minimum of 4 years software development experience in data engineering with experience in Databricks, Snowflake & SQL. Experience in Python or Java, Hive, Spark, EMR and SQL preferred
• Demonstrated strength in data modelling, ETL development, and data streaming
• Knowledge of data management fundamentals and data storage principles
• Experience leading teams with DevOps responsibilities of deploying and supporting the software in production
• Experience with highly collaborative, multi-discipline development team environments
• Experience with developing automated tests (E2E) with testing frameworks
• Solid understanding of Scrum and Agile principles
• Curiosity on how to utilize AI/ML to accelerate work
• Dedication to and hands-on experience in performing technical code reviews
• Excellent verbal and written communication and collaboration skills to effectively connect with both business and technical teams
• Bachelor's degree in Computer Science or Engineering, Information Systems, or a combination of relevant education, experience, and training

• Build, test, and maintain data pipelines
• Work closely with Product Managers and Engineers to understand requirements, technical specifications, and deliver quality software
• Design and implement large datasets and complex data pipelines using technologies like Python, Java, Databricks, Hive and Spark
• Participate in design reviews with peers to provide feedback
• Review code developed by other developers. Provide feedback to ensure best practices
• Develop databases, ensuring efficient data storage and retrieval
• Write unit tests, integration tests, and maintain high code quality standards using tools such as Jest, Mocha, or similar
• Identify and fix performance bottlenecks across the full stack, ensuring high availability and responsiveness
• Participate in Agile processes, including sprint planning, daily stand-ups, code reviews, and retrospectives
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback