Job Description: Decision Analytics ;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 ;www.exlservice.com ;for more information about EXL Analytics. ;Role & Responsibilities Overview:Lead and/or assist in designing and developing data systems, tailoring solutions to meet client specific requirementsDesign and implement databricks based solutions with a focus on distributed data processing , data partitioning and optimization for parallelismEngage with client to evaluate their current and future needs, crafting bespoke solution architectures and providing strategic recommendationsDevelop ;scalable and modular data architectures using Delta Lake for ACID-compliant data lakes ;integrating client business processes and technologies (e.g. Implement Lakehouse architecture)Define and enforce coding standards for ETL processes, ensuring maintainability, reusability, and adherence to best practices; Build and orchestrate data pipelines using Databricks Workflows and Auto Loader for real-time ingestion.Architect and implement CI/CD pipelines for databricks notebooks and jobs, ensuring testing , versioning and deployment; ;Disaster recovery strategies for databricks environments, ensuring data resilience and minimal downtime in case of failureInnovate and expand solution offerings to address data challengesAdvise stakeholders on data cloud platform architecture optimization, focusing on performance ;Experienced with Scrum and Agile Methodologies to coordinate global delivery teams, run scrum ceremonies, manage backlog items, and handle escalationsIntegrate data across different systems and platformsStrong verbal and written communication skills to manage client discussions ;Candidate Profile:5+ years experience in architecture, design and implementation using databricks with overall 10+ years of experience in Data Engineering (Preferably with Insurance domain)Experience in designing and implementing scalable, fault tolerant systemsDeep understanding of one or more of the big data compute technologies such as databricks, snowflakeDemonstrated experience with the deployment of databricks on cloud platforms , including advanced configurationsIn depth knowledge of spark internals, catalyst optimization, and databricks runtime environment ;Must have experience in implementing solution using DatabricksExperience in Insurance (P&C) is good to have ;Programming Languages – SQL, PythonTechnologies – Databricks, Delta Lake storage, Spark (PySpark, Spark SQL), ;Git, Azure Devops, Unity catalogue, ;Terraform (Good to have)Project Management using Agile, ScrumB.S. Degree in a data-centric field (Mathematics, Economics, Computer Science, Engineering or other science field), Information Systems, Information Processing or engineering.Excellent communication & leadership skills, with the ability to lead and motivate team membersAbility to work independently with some level of ambiguity and juggle multiple demands ;What we offer: ;EXL Analytics offers an exciting, fast paced and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions. From your very first day, you get an opportunity to work closely with highly experienced, world class analytics consultants.You can expect to learn many aspects of businesses that our clients engage in. You will also learn effective teamwork and time-management skills - key aspects for personal and professional growth ;Analytics requires different skill sets at different levels within the organization. At EXL Analytics, we invest heavily in training you in all aspects of analytics as well as in leading analytical tools and techniques.We provide guidance/ coaching to every employee through our mentoring program wherein every junior level employee is assigned a senior level professional as advisors.Sky is the limit for our team members. The unique experiences gathered at EXL Analytics sets the stage for further growth and development in our company and beyond
