About Team: RX Global aims to create unforgettable experiences for attendees and exhibitors through organizing events. Innovation, creativity, and collaboration drive the company to offer exceptional services to clients. About the role: This role focuses on building and maintaining scalable data pipelines and platforms using AWS, Python/SQL, and big data tools. It involves managing large datasets, optimizing ETL/ELT workflows, ensuring strong security and governance, and supporting real-time and batch data integration. The position requires hands-on experience with AWS services, DevOps practices, and Agile collaboration, along with strong problemsolving skills and the ability to translate business needs into reliable data solutions. Responsibilities: Data Pipeline Development \\+ Design and build ETL/ELT pipelines to ingest, transform, and load data. \\+ Use AWS services like Glue, Lambda and Step Functions. \\+ Schedule and monitor workflows using Step Functions or AWS Glue Workflows. \\+ Create CI/CD Pipelines based on CloudFormation, Terraform, or CDK. Data Storage and Management \\+ Manage structured and unstructured data using services like: \\+ Amazon S3 \\+ Amazon Glue Catalogue \\+ Amazon DynamoDB \\+ Amazon RDS or Aurora \\+ Amazon Redshift \\+ Ensure data partitioning, indexing, and lifecycle management. Data Integration \\+ Integrate data from multiple sources (APIs, on-prem databases, third-party tools). \\+ Use AWS Glue, Kinesis, or Kafka for real-time or batch data streaming. Performance Optimization \\+ Tune ETL jobs and query performance on Athena or Databricks. \\+ Optimize storage formats (e.g., Parquet, ORC) for cost and speed. Security & Compliance \\+ Implement data encryption, IAM roles, and access policies. \\+ Ensure compliance with data governance and privacy policies (GDPR). \\+ Use AWS Lake Formation and IAM for access control and auditing. Monitoring & Maintenance \\+ Monitor pipeline health and performance using CloudWatch, CloudTrail, and custom dashboards. \\+ Set up alerts and logging for failures and anomalies. Working with Data Scientists, Analysts, and BI teams to understand data needs. Participate in Agile processes, sprint planning, and retrospectives. Requirements: \\+ Typically, 3+ years of professional data engineering or software engineering experience with a strong data focus. \\+ Proven delivery of complex, production-grade data pipelines and platforms across multiple components and domains. \\+ Experience translating ambiguous business and analytical requirements into scalable, governed data solutions. \\+ Experience working in Agile, cross-functional teams with product, analytics, and data science partners. \\+ Bachelors Degree (Engineering/Computer Science preferred but not required); or equivalent experience required. \\+ AWS Services: S3, Glue, Redshift, Athena, EMR, Lambda, Cloud Formation, Kinesis, DynamoDB, SQS, SNS, Lake Formation \\+ Languages: Python, SQL, Scala \\+ Big Data Tools: Apache Spark, DataBricks, Hadoop, Kafka \\+ DevOps: Git, CI/CD, CloudFormation or Terraform \\+ Data Security: Strong experience \\+ ETL Pipelines: Strong experience \\+ AWS infrastructure: Familiarity with AWS VPC, EC2 Instances, Network policies, and Cloud Watch \\+ Experience operating very large data warehouses or data lakes. \\+ Strong Team Player. \\+ Security and governance-minded approach aligned to Secure SDLC and data protection practices. \\+ Ability to interface competently with other technical personnel or team members to finalize requirements. \\+ Ability to write and review portions of detailed specifications for the development of complex system components. \\+ Understanding of automation/other tools to increase efficiency. \\+ Strong problem solving and research skills. \\+ Ability to troubleshoot and resolve process inefficiencies (i.e. bugs) in the repository. \\+ Strong attention to detail. \\+ Strong oral and written communications skills. Work in a way that works for you We promote a healthy work/life balance across the organisation. We 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. Working for you We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: 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. About Business: RX is a global leader in events and exhibitions, leveraging industry expertise, data, and technology to build businesses for individuals, communities, and organisations. With a presence in 25 countries across 41 industry sectors, RX hosts approximately 350 events annually. RX is committed to creating an inclusive work environment for all our people. RX empowers businesses to thrive by leveraging data-driven insights and digital solutions. RX is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. For more information, visit www.rxglobal.com. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here () to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights. RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive. Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions. Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.

The role requires at least three years of professional experience in data engineering or software engineering with a strong data focus. Candidates must demonstrate the ability to deliver complex, production-grade data pipelines and platforms. Experience in translating ambiguous business and analytical requirements into scalable, governed data solutions is essential. The position also necessitates working within Agile, cross-functional teams alongside product, analytics, and data science partners. A Bachelor's Degree in Engineering or Computer Science is preferred but not strictly required; equivalent experience is acceptable.