Experienced Data Engineer III - Big Data Analytics, Cloud Computing, and Machine Learning Expertise for Innovative Search and Relevance Techniques Development

Introduction to LexisNexis and Our Vision LexisNexis, a division of RELX, is a leading provider of legal, regulatory, and business information and analytics. As a digital pioneer, we have been at the forefront of innovation, bringing legal and business information online with our Lexis and Nexis services. Our mission is to help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. We are now seeking a highly skilled and experienced Data Engineer III to join our team, driving innovation in search and relevance techniques. About Our Team and the Role Our team is comprised of talented data engineers and scientists who collaborate to focus on search and the creation of next-generation relevance techniques. As a Data Engineer III, you will play a crucial role in driving innovation, working closely with cross-functional teams to tackle new problems and push technology forward. Your expertise will be instrumental in designing and building scalable data ingestion and enrichment pipelines, automating and handling the life cycle of systems and platforms, and providing visibility into the health of our data platform. Key Responsibilities Design and build scalable data ingestion and enrichment pipelines (machine learning inference) infrastructure that powers batch and real-time data processing of billions of records Automate and handle the life cycle of systems and platforms that process our data Provide visibility into the health of our data platform (comprehensive view of data flow, resources usage, data lineage, etc.) Mentor teammates on algorithms, data structures, design patterns, and best practices Evolving maturity of our data quality and monitoring systems Implement development processes, coding best practices, and code reviews Work on Information Retrieval (search) using Elastic or Solr Familiarity with core text analytics tasks like classification, clustering, LDA, NER, and Relationship Extraction Knowledge of Knowledge Bases, Taxonomies, Graph Databases, and Open Data sets like Wikidata, Yago, DBPedia, etc. Graph Algorithms (shortest path, connected components, message passing, PageRank, triangle counting, etc.) Requirements and Qualifications To be successful in this role, you should have: 3+ years of experience performing ETL (extraction, transform, loading) Master's in computer science or equivalent practical experience Expertise with programming languages: SQL, Python, Scala Experience working with data technologies that power analytics – Spark, Databricks Experience with any cloud solutions (AWS, GCP, Azure) NoSQL and Document Oriented models (familiar with) Data quality testing (like Deequ) Experience in Devops (Jenkins / CloudFormation templates/ Azure pipelines) Visualization / dashboard tools like Tableau, PowerBL, and other reporting tools Essential Skills and Competencies In addition to the technical requirements, you should possess: Strong problem-solving skills and attention to detail Excellent communication and collaboration skills Ability to work in a fast-paced environment and adapt to changing priorities Strong analytical and critical thinking skills Passion for innovation and staying up-to-date with new technologies Career Growth Opportunities and Learning Benefits At LexisNexis, we are committed to providing a supportive and inclusive environment that fosters growth and development. As a Data Engineer III, you will have access to: Ongoing training and development opportunities to enhance your skills and knowledge Mentorship and coaching from experienced professionals Opportunities to work on high-impact projects and contribute to the development of innovative solutions A collaborative and dynamic work environment that encourages creativity and innovation Work Environment and Company Culture We promote a healthy work/life balance across the organization and offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Our company culture is built on values of innovation, collaboration, and respect, and we are committed to providing a fair and accessible hiring process. Compensation, Perks, and Benefits We offer a competitive salary and a comprehensive benefits package, including: Comprehensive Health Insurance: Covers you, your immediate family, and parents Enhanced Health Insurance Options: Competitive rates negotiated by the company Group Life Insurance: Ensuring financial security for your loved ones Group Accident Insurance: Extra protection for accidental death and permanent disablement Flexible Working Arrangement: Achieve a harmonious work-life balance Employee Assistance Program: Access support for personal and work-related challenges Medical Screening: Your well-being is a top priority Modern Family Benefits: Maternity, paternity, and adoption support Long-Service Awards: Recognizing dedication and commitment New Baby Gift: Celebrating the joy of parenthood Subsidized Meals in Chennai: Enjoy delicious meals at discounted rates Various Paid Time Off: Take time off with Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, and Gazetted Public Holidays Free Transport pick up and drop from home-office-home (applies in Chennai) Conclusion and Call to Action If you are a motivated and experienced Data Engineer looking to drive innovation and make a significant impact, we encourage you to apply for this exciting opportunity. As a Data Engineer III at LexisNexis, you will be part of a talented team of professionals who are passionate about using data and analytics to drive business outcomes. Don't miss this chance to take your career to the next level and contribute to the development of innovative solutions that advance the rule of law around the world. Apply now and take the first step towards a rewarding new role. Seize this opportunity to make a significant impact. Apply now and take the first step towards a rewarding new role. Apply for this job Apply tot his job