Experienced Full Stack Software Engineer – Big Data, Data Engineering, and Analytics with American Express - Remote Opportunity at $28/Hour

Remote Full-time
Join the Innovative Team at American Express American Express is a global leader in the financial services industry, renowned for its cutting-edge technology and innovative approach to customer experience. We are seeking a highly skilled and motivated Experienced Full Stack Software Engineer – Big Data, Data Engineering, and Analytics to join our dynamic team. As a key member of our tech group, you will have the opportunity to engineer, code, and develop software that makes us a fundamental part of our clients' digital lives. About the Role As a Experienced Full Stack Software Engineer – Big Data, Data Engineering, and Analytics , you will be part of an agile team that enables group/continuous analytical solutions using groundbreaking technologies such as Hadoop, Big Data, Data Science, Machine Learning, Python, SQL, UNIX, and Shell Scripting. You will be responsible for designing, developing, testing, and deploying software applications that meet the highest standards of quality and reliability. Key Responsibilities Design, develop, test, and deploy software applications using languages such as Python, Java, and Scala Collaborate with cross-functional teams to identify and prioritize project requirements Participate in code reviews and automated testing to ensure high-quality code Troubleshoot and resolve software issues, and identify areas for improvement Develop and maintain data pipelines for batch and real-time data processing Work with big data technologies such as Hadoop, Spark, and NoSQL databases Design and implement data warehousing solutions Develop and maintain technical documentation for software applications Leadership Opportunities Lead a small team of developers and guide them to achieve their full potential Influence colleagues with innovative changes and enhancements by testing the norm and showing risk-taking Drive continuous improvement in code structure and quality Requirements Essential Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or related field 3+ years of experience in software development and leading teams of developers and Scrum teams 3+ years of hands-on experience working with MapReduce, Hive, Spark (core, SQL, and PySpark) Strong understanding of data warehousing concepts Knowledge of financial reporting environment is a plus Expertise in distributed computing environments Hands-on experience with programming languages such as Core Java or Python/Scala Strong understanding of Hadoop and Spark architecture and its working principles Experience with UNIX shell scripting Ability to design and develop advanced data pipelines for batch and real-time data processing Experience in analysis, design, development, testing, and execution of system applications Demonstrated ability to develop and document technical and functional specifications and analyze software and system processing streams Preferred Qualifications Knowledge of cloud platforms such as GCP/AWS, building microservices, and portable solutions 3+ years of experience with planning and building solutions using Kafka streams or queues Experience with GitHub/Bitbucket and utilizing CI/CD pipelines Experience with NoSQL databases such as HBase, Couchbase, MongoDB Excellent technical and analytical skills Great communication skills Phenomenal task management skills What We Offer Compensation and Benefits Competitive salary of $28/hour Comprehensive benefits package Opportunities for career growth and professional development Work Environment and Culture Remote work opportunity Collaborative and dynamic work environment Opportunities to work with cutting-edge technologies Recognition and rewards for outstanding performance How to Apply If you are a motivated and talented software engineer looking to join a dynamic team, please submit your application through our website. We look forward to hearing from you! Join the innovative team at American Express and be part of shaping the future of technology and customer experience! Apply for this job
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