Senior Engineer II

Early Applicant

Exp: 4-6 Years

Job Description

As part of our diverse tech team, you can architect, code and ship software that makes us an essential part of our customers digital lives
Here, you can work alongside talented engineers in an open, supportive, inclusive environment where your voice is valued, and you make your own decisions on what tech to use to solve challenging problems
Amex offers a range of opportunities to work with the latest technologies and encourages you to back the broader engineering community through open source
And because we understand the importance of keeping your skills fresh and relevant, we give you dedicated time to invest in your professional development

Roles Responsibilities:

If you have a strong will to learn and educate and are motivated by the opportunity to help grow our team and be a part of an industry-leading technology and innovation organization, then look no further! This is an opportunity to work in the Technology Enterprise Data Architecture while heavily influencing the Enterprise Machine Learning Platform and Enterprise Big Data Platform to support the end-to-end development and execution of Amexs data management strategy
You will be solving very interesting problems that directly and greatly impact millions of individuals worldwide
There are hundreds of opportunities to make your mark on technology and life at American Express

This role will be reporting to Staff Engineer and will be responsible for following

design and architect end to end solution which is scalable, reliable as well as cost effective.
for a given business problem, explore all possible options and recommend best solution under given constraints
perform POCs, build frameworks and reusable libraries to help developers resolve business problems
build tools and frameworks to improve developer experience
evaluate different third party tools and provide recommendations
be a SME of Data Management and Data Privacy Concepts

Minimum Qualifications:

Bachelor s Degree in Computer Science, Computer Engineering, EE, EEE, Statistics, Math, Industrial Engineering, Operational Research, Physics, Financial Engineering, or related STEM fields. Advanced degree preferred.
6+ years of experience of technology platform implementation in a technical and analytical role
4+ years of building both traditional and cloud native applications and big data platforms in support of digital transformation.
4+ years of hands on experience in Java, Python, Springboot, graphQL, Rest API, Microservices, etc.

4+ years of experience in Industry 4.0 initiatives and/or other aspects of corporate data management; e.g. Data Governance, Data Security, Data Privacy and Data Lifecycle Management
4+ years of experience in designing solutions for multiple large data warehouses with a good understanding of cluster and parallel architecture as well as high-scale or distributed RDBMS and/or knowledge on NoSQL platforms (e.g. PostgreSQL, Redshift, BigQuery, Snowflake, DynamoDB, Neo4J, MongoDB, Cassandra, HBase, etc)

Preferred Qualifications:

Experience with following message queuing, stream processing, and highly scalable big data tools and technologies is a plus:
- - Amazon Kinesis / GCP PubSub
  - Apache Flink
  - Apache Kafka
  - Apache Kylin
  - Apache NiFi
  - Apache Samza
  - Apache Spark
  - Apache Storm
  - Hadoop
  - Hive
  - Zeppelin/ Jupyter
Hands on experience working on data management tools like Collibra, Alation, Atlan, Orion, Manta, etc. is a plus
Experience supporting and working with cross-functional teams in a dynamic environment
Strong analytical skills and algorithmic problem-solving skills.
Knowledge of / experience with Gen AI technology is a plus