Data Engineer - USA

Job Description Template Greetings Everyone **Who are we?** For the past 20 years, we have powered many Digital Experiences for the Fortune 500. Since 1999, we have grown from a few people to more than 4000 team members across the globe that are engaged in various Digital Modernization. For a brief 1 minute video about us, you can check https://youtu.be/uJWBWQZEA6o. About the team: We seek innovative, entrepreneurial, and passionate engineers dedicated to delivering exceptional user experiences. Your passion and ownership mindset are as vital as the high engineering standards, code quality, and world-class architectural skills we uphold. We manage billions of mail messages with advanced backend systems and algorithms, including NLP, GenAI, and ML techniques. Our infrastructure extracts information, creates enhanced content, and integrates diverse data sources to amplify key insights. This work presents rewarding technical challenges for high-caliber engineers eager to tackle impactful problems. Responsibilities: - ​ Contribute to Mail Intelligence Mission: Support the development of AI/ML capabilities that enhance user personalization and insights. - ​ Innovate and Personalize: Assist in building scalable solutions that identify user interests and habits, contributing to personalized user experiences. - ​ Data Pipeline and Insights Development: Design and implement robust data pipelines using frameworks like DataProc, Dataflow, and Composer. Streamline data processing and orchestration, utilize Data Lake and Pub/Sub for storage and streaming, and create insightful visualizations with Looker Studio to support AI/ML initiatives. - ​ Collaboration: Work closely with cross-functional teams in the USA to integrate data solutions that enhance user experiences. - ​ Data Governance: Implement robust data governance practices to maintain data quality and compliance across the organization. - ​ Optimization: Continuously improve data workflows for efficiency and scalability. - ​ Technical Strategy: Collaborate with tech leads to align data strategies with business goals. - ​ Feedback and Recovery: Implement mechanisms to handle data processing failures gracefully. - ​ Tradeoff Management: Balance cost, quality, and speed in data solutions to optimize performance. A lot about YOU - ​ Educational Background: You have a strong foundation in computer science, data engineering, or a related field, with a focus on big data technologies and cloud platforms. - ​ Technical Skills: You are proficient in programming languages such as SQL, Python, or Java, and have experience with big data frameworks like Hadoop, Spark, or Kafka. You excel in using stream and batch processing frameworks and data visualization tools, and are skilled in implementing data governance practices. - ​ Data Engineering Expertise: You have advanced skills in designing and implementing data pipelines, ensuring data quality and integrity. - ​ AI Tools Usage: You have experience with AI development tools such as Cursor, Copilot, and Claude. - ​ Problem-Solving Ability: You possess strong analytical skills and a knack for solving complex data challenges using innovative approaches. - ​ Collaboration: You are a team player who can work effectively with cross-functional teams, including tech leads and architects, to deliver high-quality data solutions. - ​ Passion for Innovation: You are enthusiastic about leveraging data engineering to drive innovation and enhance user experiences. - ​ Attention to Detail: You maintain high standards for data quality and are committed to delivering robust, scalable solutions. - ​ Continuous Learning: You are eager to stay updated with the latest advancements in data engineering and apply them to improve. Qualifications - ​ Educational Requirement: Bachelor's degree in Computer Science, Data Engineering, or a related field; a Master's degree is a plus. - ​ Experience: 5+ years in data engineering, big data processing, or a related field. - ​ Tec…