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

WHAT YOU’LL WORK ON

You will build and deliver the technical runway for existing and new technological capabilities to support multiple mission critical systems. You will rely on your understanding of scalable, highly available, and consistent distributed systems to design world class solutions.

• 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