8 days ago
Chennai, IndiaSenior
Responsibilities
- Lead the design, prototyping, implementation, and operation of scalable data pipelines and report-generation services.
- Set engineering standards for clean code, architecture, testing, reliability, and best practices.
- Own AWS infrastructure used to host, monitor, and scale data services while optimizing cost and performance.
- Partner with product managers, architects, and engineering teams to translate requirements into technical solutions, implementation plans, and delivery roadmaps.
- Mentor and coach engineers through design reviews, pair programming, and code reviews.
- Drive data quality, observability, governance, lineage, monitoring, SLAs, and reliability practices across Libra data products.
- Contribute to architectural decisions and technical direction across the wider Search and AI Platform.
Requirements
- 6+ years of professional data engineering experience building scalable, high-performance, and reliable data platforms and services.
- Strong experience with SQL, Python, Airflow, data warehousing, Snowflake, AWS, Git, and AWS Glue.
- Deep experience with SQL and data warehouses, preferably Snowflake, including data modeling, performance tuning, and cost management at scale.
- Experience applying clean-code practices, architectural design patterns, testing strategies, and CI/CD practices.
- Experience leading technical delivery of non-trivial projects from design through production support.
- Ability to own the design and implementation of data systems and pipelines, deputize for a technical lead, and set engineering standards.
- Preferred experience with large-scale content management systems, big data platforms, architectural decision-making, CI/CD pipelines, infrastructure as code, GitHub Actions, Terraform, search, graph, or large-scale analytical databases.
- Strong ownership, collaboration, learning, and outcome-delivery mindset in ambiguous problem spaces.
Benefits
- Healthy work/life balance, wellbeing initiatives, family leave, and tuition reimbursement.
- Flexible working hours.
- Group health insurance covering the employee and family, plus group life and accident insurance.
- Generous long-service awards and a new baby gift.
- Subsidized food and free transport to and from the office for India-Chennai employees.
- Casual, sick, privilege, compassionate, special sick, gazetted public holiday, and maternity/paternity leave.
- Country-specific benefits and accommodations through Elsevier’s accessible hiring process.
Tech Stack
Apache AirflowApache KafkaApache SparkAWSFastAPIGitGitHub ActionsJavaPythonSnowflakeSpring BootSQLTerraform
Categories
Data Engineering
About RELX
RELX provides information-based analytics, research content, and decision tools for scientists, legal and risk professionals, insurers, and governments. Through segments including Elsevier (STM), LexisNexis (legal and risk), and RX (exhibitions), it sells subscriptions, data services, and software platforms used in 180+ countries. Headquartered in London, it is a public company listed in London and Amsterdam.