We are seeking a highly skilled Senior Engineer II to join our Unified Marketing Data Layer Team. If you are passionate about creating unified, well-organized, and governed data solutions that serve multiple marketing personas, this is the perfect opportunity for you. As a key member of our team, you will leverage cutting-edge technologies like Google Cloud Platform (GCP), Big Data, Spark, Java, and Scala to build scalable, high-performance data solutions that drive marketing insights and decision-making.
What You Will Do
- Develop and Optimize Data Solutions. Design, implement, and maintain high-quality, scalable, and efficient data solutions that meet business and technical requirements.
- Work with Big Data Technologies. Utilize Spark, Scala, Java, Python, and SQL to process and analyze large datasets, ensuring data accuracy, reliability, and consistency.
- Cloud-Based Engineering. Leverage GCP services (such as BigQuery, Dataflow, Pub/Sub, Cloud Storage, etc.) to build robust, cloud-native data pipelines.
- Enhance Data Governance and Reliability. Ensure data consistency and security while implementing best practices for data management, version control, and monitoring.
- Collaborate Across Teams. Work closely with business stakeholders, data engineers, and other technology teams to understand requirements, provide technical expertise, and deliver impactful solutions.
- Implement Best Practices. Define and advocate for best practices in software engineering, including code reviews, testing strategies, CI/CD pipelines, and Agile methodologies.
- Performance Optimization. Continuously monitor and improve system performance, scalability, and data processing efficiency.
- Drive Innovation. Stay updated with industry trends and emerging technologies to introduce innovative solutions and enhance existing processes.
Why Join Us?
- Inclusive and Collaborative Work Culture. Be part of a team that values diverse perspectives and fosters a culture of collaboration and respect.
- Cutting-Edge Technologies. Work with the latest in cloud computing, big data, and machine learning technologies.
- Opportunities for Career Growth. Dedicated time for learning and development, mentorship programs, and career advancement opportunities.
- Work-Life Balance. Flexible working models, including hybrid, onsite, or virtual arrangements, depending on business needs.
- Comprehensive Benefits. Competitive salary, performance-based incentives, and extensive health and wellness benefits.
Required Qualifications
- Education. Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent professional experience.
- Experience. At least 8+ years of hands-on experience in Big Data & Analytics solutions.
Technical Expertise
- Big Data Technologies. Proficiency in Hadoop, Hive, Spark, Scala, Python, and GCP Cloud.
- SQL & Database Management. Strong understanding of database systems, query optimization, and data modeling.
- Cloud Expertise. Experience with Google Cloud Platform (GCP) services like BigQuery, Dataflow, and Pub/Sub.
- Data Pipelines & Workflow Management. Experience working with Airflow, Kafka, and CI/CD pipelines.
- Version Control & DevOps. Hands-on experience with Git, Jenkins, Docker, and Kubernetes.
- Problem-Solving Skills. Ability to analyze complex technical challenges and develop effective solutions.
- Agile Methodology. Familiarity with Agile, Scrum, and iterative development processes.
- Communication & Collaboration. Excellent verbal and written communication skills, with the ability to work effectively across teams.
- Certifications (Preferred). Google Cloud Professional Data Engineer certification is a plus.
Our Commitment to You
- Competitive Compensation. Attractive base salaries with performance-based bonuses.
- Health & Wellness Benefits. Comprehensive medical, dental, vision, life insurance, and disability coverage.
- Retirement & Financial Security. 401(k) plans, stock purchase programs, and financial planning support.
- Parental Leave & Family Support. Generous paid leave policies to support work-life balance.
- Global Wellness Programs. Free access to on-site wellness centers, counseling support, and mental health resources.
- Professional Growth. Learning and development programs, certifications, and mentorship opportunities.
Join Us and Make an Impact
At American Express, you’ll be part of a dynamic team that is shaping the future of marketing data solutions. If you’re ready to take on this exciting challenge and contribute to innovative, high-impact projects, we encourage you to apply.
Apply now and become a part of a company that values integrity, collaboration, and innovation!