Senior Data Engineer, Global Converse, ITC

WHO YOU’LL WORK WITHThis 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 FORWe 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 preferredDemonstrated strength in data modelling, ETL development, and data streamingKnowledge of data management fundamentals and data storage principlesExperience leading teams with DevOps responsibilities of deploying and supporting the software in productionExperience with highly collaborative, multi-discipline development team environmentsExperience with developing automated tests (E2E) with testing frameworksSolid understanding of Scrum and Agile principlesCuriosity on how to utilize AI/ML to accelerate workAbility to drive work to completion without significant oversightAbility to ask questions and overcome obstacles during developmentDedication to and hands-on experience in performing technical code reviewsExcellent verbal and written communication and collaboration skills to effectively connect with both business and technical teamsBachelor’s degree in Computer Science or Engineering, Information Systems, or a combination of relevant education, experience, and trainingWHAT YOU’LL WORK ONYou 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 pipelinesWork closely with Product Managers and Engineers to understand requirements, technical specifications, and deliver quality softwareDesign and implement large datasets and complex data pipelines using technologies like Python, Java, Databricks, Hive and SparkParticipate in design reviews with peers to provide feedbackReview code developed by other developers. Provide feedback to ensure best practicesDevelop databases, ensuring efficient data storage and retrievalWrite unit tests, integration tests, and maintain high code quality standards using tools such as Jest, Mocha, or similarIdentify and fix performance bottlenecks across the full stack, ensuring high availability and responsivenessParticipate in Agile processes, including sprint planning, daily stand-ups, code reviews, and retrospectivesContribute to existing documentation or educational content and adapt content based on product/program updates and user feedback