Experienced Big Data Engineer - American Express Stay At Home Opportunity with Competitive Salary $25/Hour

Unlock Your Career Potential with American Express and Workwarp American Express, a renowned leader in the financial services industry, is seeking a highly skilled and experienced Big Data Engineer to join their innovative team on a full-time, remote basis. As part of the Workwarp organization, you'll be instrumental in shaping the future of American Express's technology and product roadmap. If you're passionate about leveraging cutting-edge technologies to drive business growth and deliver exceptional customer experiences, this is an exciting opportunity to join a dynamic and entrepreneurial team. Job Highlights: Position: Big Data Engineer - American Express Stay At Home $25/hour Location: Remote (Work from Home) Compensation: Competitive salary of $25/hour Start Date: Immediate openings available Company: Workwarp (in partnership with American Express) About American Express and the Role American Express is a global financial services company known for its commitment to innovation and customer satisfaction. As a Big Data Engineer, you will be part of a fast-paced team that empowers cluster/real-time insightful solutions using groundbreaking technologies such as Hadoop/Big Data, Data Science/ML, Python, SQL, UNIX, and Shell Scripting. Your primary focus will be on developing innovative solutions across multiple lines of business, driving continuous improvement in code structure and quality, and collaborating with cross-functional teams to deliver exceptional results. Key Responsibilities: Design, develop, and test software applications, including refactoring code to drive continuous improvement in code structure and quality. Develop API specs, conduct code reviews, and perform testing in continuous runs or proof of concepts/automation tools. Apply visualization and other techniques to quick-track ideas and drive innovation. Collaborate as a central member of an Agile team, driving client story analysis and elaboration, design and development of software applications, testing, and build automation tools. Manage specific platforms/products or work as part of a dynamic resource pool assigned to projects based on demand and business need. Identify opportunities to adopt innovative technologies and embody a "rebel with a cause" mindset by looking beyond the obvious for continuous improvement opportunities. Essential Qualifications and Skills To be successful in this role, you should possess the following essential qualifications and skills: Bachelor's degree in Engineering, Software Engineering, Computer Science, or a related field; or Master's degree in Computer Applications or a related field. 2+ years of programming development experience and leading teams of engineers and Scrum teams. 2+ years of hands-on experience working with Hadoop, Hive, Spark (Core, SQL, and PySpark). Strong Data Warehousing concepts and knowledge of financial reporting environments. Expertise in distributed environments and programming using Core Java or Python/Scala. Hands-on experience with Hadoop and Spark Architecture and its working principles. Active experience in writing and understanding complex SQL (Hive/PySpark-dataframes), optimizing joins while handling vast amounts of data. Experience with UNIX shell scripting and ability to design and develop enhanced data pipelines for batch and real-time data processing. Proven ability to analyze, design, develop, test, and implement system applications and document technical and functional specifications. Preferred Qualifications: Knowledge of cloud platforms like GCP/AWS, building Microservices, and scalable solutions. 2+ years of experience in designing and building solutions using Kafka streams or queues. Experience with GitHub/Bitbucket and using CI/CD pipelines. Experience with NoSQL databases such as HBase, Couchbase, or MongoDB. Excellent technical and analytical skills, with strong communication and project management abilities. What We Offer As a valued member of the American Express team, you'll enjoy a competitive salary of $25/hour, along with the flexibility to work from home. You'll be part of a dynamic and entrepreneurial team that is passionate about innovation and customer satisfaction. Our company culture is built on a foundation of collaboration, creativity, and continuous learning, providing you with the opportunity to grow and develop your skills in a supportive and inclusive environment. Career Growth Opportunities and Learning Benefits At American Express, we're committed to helping our employees grow and develop their careers. As a Big Data Engineer, you'll have access to a range of training and development opportunities, including: Professional development programs to enhance your technical and business skills. Opportunities to work on high-visibility projects and collaborate with cross-functional teams. Mentorship and coaching from experienced professionals. A culture that encourages innovation, experimentation, and continuous learning. Compensation, Perks, and Benefits We offer a comprehensive compensation package that includes a competitive salary, benefits, and perks. While specific details may vary, our benefits typically include: Health, dental, and vision insurance. Retirement savings plans and other financial benefits. Paid time off and holidays. Opportunities for career growth and professional development. A dynamic and supportive work environment that fosters collaboration and innovation. Ready to Join Us? If you're a motivated and experienced Big Data Engineer looking for a challenging and rewarding opportunity, we encourage you to apply. Our simple application process is designed to get you started quickly. Click "Apply Now" to submit your application, and we'll be in touch soon to discuss your qualifications further. Don't miss this opportunity to join a leading financial services company and be part of a team that is shaping the future of technology and innovation. Apply today and take the first step towards a fulfilling and successful career with American Express and Workwarp! Apply for this job