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🤖 Closed by robot after apply link errored w/ code 404 2 years ago
\nThe AIR MILES Rewards Program has earned the trust and support of more than two-thirds of Canadian households. For over two decades, we have helped our Partners use Canada’s most widely accepted loyalty currency, AIR MILES® reward miles, to influence customer behaviour, drive profitability, and build long-term relationships. \n\nBenefits and Perks at AIR MILES:\n\n\n* Flexible Work Arrangements\n\n* Tuition Reimbursement\n\n* COVID-19 Work-from-Home safety response\n\n* Annual Wellness Subsidy\n\n* AIR MILES Gold® Collector\n\n* Loyalty Days and Anniversary Miles\n\n* Group RRSPs & Company match\n\n* Wellness Resources including Cognitive Therapy\n\n* Recognized as Canada’s Top Employer\n\n\n\n\nThere’s a reason we’re recognized as one of the best places to work year after year: We give you more than a place to work, we give you a place to grow your career. That’s what sets us apart.\n\nWhat Will You Work On?\n\nAs part of the Data Hub team at AIR MILES, you will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flows and collection for cross-functional teams. The pipeline needs to be scalable, repeatable, and secure. You will work with some of the largest and most varied data sets (both batch and real-time) in Canada. \n\nHow Will You Create Impact?\n\nYou will expand and develop the AIR MILES Cloud analytical platform that enables business users, data analysts and data scientists to make data-driven decisions, build innovative data products and roll out advanced analytics. \n\nLet's Talk About You!\n\n\n* Ability and desire to work in our collaborative environment: open team room, pair programming and fluid interactions with all products and operations teams.\n\n* Focusing on building solutions utilizing an agile approach: close relationships with Product Managers, communicating and digesting real time feedback, and working smartly to build story cards on daily basis.\n\n* Passionate about Big Data and the latest trends and developments. We strongly believe in and encourage continuous learning.\n\n* You are self-driven, need minimal supervision and comfortable pushing your own projects and getting things done.\n\n* Experience with Python, Spark, and SQL\n\n* Experience building ‘big data’ pipelines, architectures, and datasets\n\n* Experience with Amazon AWS and other cloud platforms\n\n* Experience with Databricks\n\n* Experience with Agile methodologies as well as familiar with CI/CD tools (Jenkins, Travis, github)\n\n* Experience in ETL and Data Modeling preferred\n\n* Experience in designing and implementing streaming applications is preferred\n\n* Fully understand standard architecture methodologies, processes and best practices\n\n\n\n\nOur COVID-19 Response\n\nThe well-being of our Associates is our top priority. Since March 2020, we made the decision to ask all Associates to work from home until further notice. Everyone is set up with the tools and resources needed to keep us all connected and make work-from-home routines more comfortable. We continue to follow the guidance of the provinces, municipalities & public health agencies, as well as consider the safety, health and interests of our Associates, as we assess and make decisions on reopening our office locations.\n\nCheck us out – AIR MILES, a LoyaltyOne Company on StackOverflow | LinkedIn |Glassdoor| Facebook |\n\nTwitter | Instagram LoyaltyOne Culture | Instagram AIR MILES
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.