American Express Hiring Data Engineer II in Bengaluru | Hybrid

Job Overview American Express is looking for a Data Engineer II to join its Digital Workplace Data & Analytics Platform team in Bengaluru. This hybrid full-time opportunity is ideal for professionals with at least three years of experience in data engineering, cloud platforms, and Python development. The role focuses on building enterprise-scale data platforms that deliver meaningful business insights through reliable data pipelines, cloud-native services, automation, and analytics. As a Data Engineer II, you will contribute to the development of modern data engineering frameworks, reusable platform components, and scalable cloud solutions. You will work closely with architects, product owners, machine learning engineers, and business stakeholders to deliver secure, reliable, and high-performance data solutions that improve productivity and user experience. Key Responsibilities - Design and develop reusable Python frameworks for batch and streaming data ingestion. - Build scalable cloud-native data pipelines on Google Cloud Platform. - Develop RESTful APIs and microservices for enterprise data services. - Create reusable libraries for orchestration, transformation, metadata management, and automation. - Implement monitoring, logging, auditing, lineage, and observability. - Develop containerized applications using Docker and Kubernetes. - Improve CI/CD automation, testing, infrastructure, and engineering standards. - Participate in architecture reviews, technical discussions, and code reviews. - Collaborate with data engineers, ML engineers, architects, and business teams. - Support enterprise data strategy and engineering best practices. Required Skills Python, SQL, cloud data engineering, distributed systems, REST APIs, microservices, cloud-native development, CI/CD, Git, Docker, Kubernetes, data modeling, data quality, Agile development, monitoring, logging, and automation. Preferred Skills Experience with BigQuery, Pub/Sub, GCS, GKE, Cloud Run, Apache Spark, Kafka, Airflow, Elasticsearch, Kibana, Tableau, Power BI, Grafana, OAuth2, JWT, IAM, DevOps, AI/ML platforms, metadata management, and data governance. Education Bachelor's or Master's degree in Computer Science, Engineering, or a related technical discipline. Experience Minimum 3 years of software engineering or data engineering experience. Required Technologies Python, SQL, Google Cloud Platform, BigQuery, Pub/Sub, GCS, GKE, Cloud Run, Docker, Kubernetes, Git, CI/CD, REST APIs, Microservices, Apache Spark, Kafka, Airflow, Elasticsearch, Kibana, Tableau, Power BI, Grafana, OAuth2, JWT, IAM. Soft Skills Strong communication, collaboration, analytical thinking, ownership, innovation, problem-solving, adaptability, and teamwork. Benefits of Working in this Role Competitive salary, performance incentives, comprehensive healthcare, retirement support, hybrid work flexibility, wellness initiatives, parental benefits, and continuous learning opportunities as described in the job posting. Work Mode Hybrid. Location Bengaluru, Karnataka, India. Who Should Apply Software and data engineers passionate about cloud-native platforms, distributed systems, modern analytics, automation, and enterprise-scale data engineering. Career Growth This role offers opportunities to work on enterprise cloud platforms, AI-enabled analytics, reusable engineering frameworks, and advanced data engineering technologies while collaborating with experienced global engineering teams. Application Advice Highlight your experience with Python, SQL, GCP, Docker, Kubernetes, CI/CD, distributed systems, APIs, data pipelines, and cloud-native engineering projects. Apply now through SoftoJobs to explore this opportunity.