Senior Data Engineer I - Bigdata, GCP, GenAI

The Enterprise Technology Services organization partners with every part of the American Express business to power the company’s growth and innovation with trust and efficiency, and drive competitive differentiation with speed. We support the delivery and operations of technology, digital, and data capabilities, platforms, and services globally. Specifically, our team is responsible for the company’s technology engineering, architecture, and infrastructure, providing 24x7 support to ensure an uninterrupted, high-quality experience for customers and colleagues. We also provide product management for core enterprise platforms, and lead technology risk and information security, enterprise data governance and platforms, digital product and design, and enterprise AI platforms on behalf of the company.

Responsibilities

As Senior Engineer you will deliver technical solutions using cutting edge technologies and industry best practices to implement cloud platform. You should have experience in architecting, deploying, automating cloud-based data platforms. You are well versed in technologies such as GCP, Big data, Java, Scala, Spark, Kafka, APIs, Python, RDBMS, NoSQL etc. You are experienced in building low code/no code data transformation tools using cloud technologies such as GCP/ AWS or Azure. 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.

Responsibilities:

• As a Sr. Big Data Engineer, you'll be responsible for designing and building high performance, and scalable data platforms

• You will be leading team of multiple very enthusiastic and skilled engineers to drive the product development and adoption

• You will be required to effectively collaborate with product teams from business group and understand the product roadmap and vision and translate that into engineering artefacts

• You will work with a variety of teams and individuals, including platform engineers, usecase owners, analytical users to understand their needs and come up with innovative solutions

• You will follow the Amex-way of building engineering products that leads to engineering excellence by adopting DevOps principals

Qualifications

Qualifications:

• Bachelor's degree in computer science, Engineering, or a related field. Master's degree would be a plus

• Great to have:- GCP professional certification - Data Engineer/Cloud Architect will be preferable

• Strong hands-on experience with GCP services (Big Query, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Composer, etc.).

• Expert in Google BigQuery tool for data warehousing needs

• 6+ years of software development experience with hands-on expertise in coding in Java/Python/Scala etc

• 3+ years of experience in creating low code/no code ETL tool for setting up large scale data transformation on GCP Cloud

• Strong SQL, RDBMS skills. Expert in writing complex SQLs for different databases such as Hive , MySQL , Postgres etc. Proficiency in working with NoSQL databases as well

• Experience working with Spark , Big Data and Hive

• Experience in Git Management including PR reviews, maintaining code hygiene

• In-depth understanding of data warehousing concepts, dimensional modelling, and data integration techniques

• Experience in optimising high volume data processing jobs.

• 3+ years experience in writing APIs and spring boot services.

• Knowledge of High availability and DR setup.

• Hands-on experience on CICD pipelines, Automated test frameworks, DevOps and source code management will be a big plus (XLR, Jenkins, Git, Stash, Jira, Confluence, Splunk etc.)

• Experience working in Agile/SAFe framework for development

• Understanding of Generative AI concepts, including LLMs (Large Language Models), prompt engineering, embeddings, and vector databases.

• Experience integrating GenAI capabilities into data platforms (e.g., semantic search, AI-driven analytics, automated data insights).

• Excellent communication and analytical skills

• Excellent team-player with ability to work with global team