Senior Data Engineer - Next Generation Big Data

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.

Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range of opportunities to work with the latest technologies, and a commitment to back the broader engineering community through open source, our mission is to power your success. Because Amex Tech is powered by our technology, our culture, and our colleagues.

LUMI is company’s largest Big Data Platform, ideally suited for computationally and/or data intensive processing applications. Whether the data needs to be processed in batch, online, or streaming manner, Lumi provides robust capabilities to handle such workloads effectively, in a cost-efficient manner.

A hub of very hardworking Big Data engineers and most exciting & upcoming technologies. Cornerstone platform offers an environment where Engineers are challenged every day to build world class products.

As we embark on the journey to move to public cloud - GCP you will be part of a fast-paced Agile team, design, develop, test, troubleshoot & optimize solutions created to simplify access to the Amex’s Big Data Platform.

Focus:

Designs, develops, solves problems, debugs, evaluates, modifies, deploys, and documents software and systems that meet the needs of customer-facing applications, business applications, and/or internal end user applications.

Organizational Context:

Member of an engineering or delivery and integration team reporting to an Engineering manager or Engineering Director.

Responsibilities:

• Implement scalable and efficient data architectures on GCP
• Collaborate with cross-functional teams to understand data requirements and develop solutions that meet business needs
• Data Pipeline Development:
• Build, test, and deploy data pipelines to move, transform, and process data from various sources to GCP
• Ensure the reliability, scalability, and performance of data pipelines
• Utilize GCP's big data technologies such as BigQuery, Dataflow, Dataprep, and Pub/Sub to implement effective data processing solutions
• Monitor system performance and proactively optimize data pipelines for efficiency
• Troubleshoot and resolve issues
• Create and maintain comprehensive documentation for tools, architecture, processes, and solutions

 Qualifications:

• Understanding of GCP services Cloud dataflow, Cloud Pub-Sub, Big Query, Cloud Storage, Cloud Dataflow, Google Composer etc
• Strong SQL knowledge
• Understanding of fundamentals of Git and Git workflows
• Experience of working in agile application development environment
• Technical support to applications on trouble shooting Environment, software and application-level issues Write, test programs using Unix Shell scripting, oracle PL/SQL programming
• Experience of supporting platform Engineering Activities, Network, firewall