AWS Data Engineer

Job Description

About the Company Choosing a digital partner is about more than capabilities ? it?s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most ? your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We?re your business evolution partner?tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we?re here to partner with you to help you gain?and maintain?competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management?alongside deep industry expertise ? to deliver solutions that help you outperform the competition. At EXL, it?s all about outcomes?your outcomes?and delivering success on your terms. Share your goals with us and together, we?ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com. Website: http://www.exlservice.com Headquarters: New York, NY Founded: 1999 Must Have Skills : AWS, Python / PySpark : Min 4+ yrs of experience Experience in RDD and Map functions in PySpark AWS services ? Glue, Lambda, Redshift, Step functions, Cloud formation / CFT Good to have : Lake formation / LFT Enterprise platform experience Specialties Operations Management, Decision Analytics, Technology Platforms, Healthcare, Finance & Accounting, Insurance, Risk & Financial Management, Travel, Transportation and logistics, Banking and Financial Services, Operations & Process Excellence, Utilities, Analytics, Digital Transformation, Management Consulting, Finance Transformation, IT Audit, Artificial Intelligence, Automation, Robotics, Machine Learning, and NLP