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
