WHO YOU’LL WORK WITH

This role typically reports to a Senior Manager Data Engineering within Global Converse Technology 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 Senior 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.

Details on qualifications:

A minimum of 6-8 years software development experience in data engineering with experience in Databricks, Snowflake & SQL. Experience in Python or Java, Hive, Spark, EMR and SQL strongly 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

Ability to drive work to completion without significant oversight

Ability to ask questions and overcome obstacles during development

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