Sr Data Engineer II oversees all technical aspects of data architecture and database management, ensuring optimal performance and security, while leading teams and collaborating with architects and product teams to design and implement effective data solutions, including advanced Big Data management strategies through partitioning and indexing.

Education Qualifications:

- Bachelor’s degree in Computer Science, Computer Engineering, and/or comparable experience; advanced degree preferred
- Knowledge of Big Data / NoSQL design and development with variety of data stores (document, column family, graph, etc.)
- Knowledge of database management system products and ecosystem – e.g., storage formats, access algorithms, data management processes, administration, data maintenance, replication, high availability, encryption, etc.”
- Knowledge of distributed (multi-tiered) systems, algorithms, and relational & non-relational databases
- Knowledge of XML/JSON and schema development/reuse, relational database management systems, Open Source

Work Experience:

- Data engineering and development experience or a related job
- Experience in SQL and Python (or any other programming language like Java)
- Experience in design and development across one or more database management systems (e.g., HBase, Hive, GCP tools, NoSQL, BigTable, BigQuery, Spanner, IMS, DB2 zOS, Oracle, MS SQL Server, PostgreSQL, Netezza (PDA/DB2AA) as appropriate
- Experience in NoSQL databases (e.g., MongoDB, Couchbase, Cassandra, and Redis)
- Experience in data modeling tools (e.g., ErStudio, ErWin)
- Experience in performance tuning in the Big Data space
- Experience in distributed (multi-tiered) systems, algorithms, and application development
- Experience in database development and support of online transaction processing and/or online analytical processing systems
- Experience in software delivery methodology (Agile, Scrum, Agile XP, Test-Driven Development, Waterfall,



etc.)
- Experience in infrastructure design for performance (e.g., network-attached or local-attached storage integration - such as Nutanix)
- Experience designing and implementing ETL/ELT pipelines and large-scale data-processing solutions.
- Experience with performance tuning, resiliency, high availability, data replication, and production troubleshooting.
- Experience with software-engineering practices including Git, automated testing, CI/CD, code reviews, and production support .
- Ability to collaborate effectively with architects, engineers, product teams, and business stakeholders.
- Experience mentoring engineers and providing technical leadership on complex initiatives.
AI / GenAI Experience – Preferred
- Working knowledge of Generative AI and LLM-based application architectures .
- Exposure to RAG, embeddings, vector databases, semantic/hybrid search, and knowledge retrieval .
- Experience integrating LLM APIs or frameworks such as LangChain/LangGraph is advantageous.
- Basic Understanding of AI evaluation, grounding, guardrails, observability, security, and responsible AI concepts.
- Experience building data pipelines for unstructured/semi-structured content and preparing enterprise data for AI consumption.
- Ability to rapidly prototype AI/GenAI use cases using Python and transition viable POCs toward production.

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.



From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.

As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn current 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.

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

- Competitive base salaries
- Bonus incentives
- Support for financial-well-being and retirement
- Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
- Generous paid parental leave policies (depending on your location)
- Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
- Free and confidential counseling support through our Healthy Minds program
- Career development and training opportunities

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

📌 Senior Data Engineer II (Gurugram)
🏢 American Express
📍 Gurugram