EXL
Location
Delhi | India
Job description
About Us: EXL (NASDAQ:EXLS) is a leading operations management and analytics company that helps businesses enhance growth and profitability in the face of relentless competition and continuous disruption. Using our proprietary, award-winning Business EXLerator Framework™, which integrates analytics, automation, benchmarking, BPO, consulting, industry best practices and technology platforms, we look deeper to help companies improve global operations, enhance data-driven insights, increase customer satisfaction, and manage risk and compliance. EXL serves the insurance, healthcare, banking and financial services, utilities, travel, transportation and logistics industries. Headquartered in New York, New York, EXL has more than 24,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), Latin America, Australia and South Africa.
EXL Analytics provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics techniques and a consultative approach. Leveraging proprietary methodology and best-of-breed technology, EXL Analytics takes an industry-specific approach to transform our clients’ decision making and embed analytics more deeply into their business processes. Our global footprint of nearly 2,000 data scientists and analysts assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost and resource optimization within the organization. EXL Analytics serves the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation and logistics industries. Please visit for more information about EXL Analytics. Location - Bangalore/ Gurgaon We are seeking a highly motivated and experienced AWS Engineer, to join our MarTech team at the NFL. This position requires an individual with AWS cloud experience and ambition to continually keep up with best practices when it comes to cloud development. The successful candidate must be able to seek out requirements and create best in class cloud-native solutions. The engineer must always create solutions that are repeatable, scalable, and well-governed. They will deploy and rigorously test solutions to ensure they are robust and secure. The engineer will be responsible for creating and maintaining diagrams associated with any solutions that are deployed into production. Create and maintain scalable, robust AWS architecture. Collaborate with technical teams on modern architectures (Microservices, REST APIs, DynamoDB, Lambda, API Gateway). Develop API-based, CDC, batch, and real-time data pipelines for structured and unstructured datasets. Enable integration with third-party systems as needed. Ensure solutions are repeatable and scalable across the organization. Work with development teams to gather requirements, develop solutions, and deploy them. Provide robust solution documentation for a wide audience. Collaborate with data professionals to bring applications to life, meeting business needs. Prioritize data protection and cloud security in all deliverables. Required Qualifications: Experience building serverless applications in AWS. 3-4 years of Python programming experience. 2-3 years' experience with AWS tech stack (Glue, Redshift, CloudTrail, CloudWatch, Lambda, API Gateway, Step functions, SQS, S3, IAM roles, Secrets Manager). Working knowledge of DevOps methodologies, including designing CI/CD pipelines. Preferred Qualifications (What will help you stand out): AWS Cloud Certifications. Knowledge and experience in designing and developing RESTful services. Experience building distributed architecture-based systems, especially handling large data volumes and real-time distribution. Initiative and problem-solving skills when working independently. Familiarity with Big Data Design Patterns, modeling, and architecture. Exposure to NoSQL databases and cloud-based data transformation technologies. Understanding of object-oriented design principles. Knowledge of enterprise integration patterns. Experience with messaging middleware, including queues, pub-sub channels, and streaming technologies. Expertise in building high-performance, highly scalable, cloud-based applications. Experience with SQL and No-SQL databaseJob tags
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