Description
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.
How will you make an impact in this role?
The Data Engineer in the Data Management team is responsible for building data pipelines to pull together information from different source systems; integrating, consolidating and cleansing data; and structuring it for use in individual analytics applications.
- Should have a good understanding of extract, transform and load (ETL) tools and REST-oriented APIs for creating and managing data integration jobs, and providing data analysts and business users with simplified access to prepared data sets.
- Experience in planning, documenting scope and estimating work effort, producing quality deliverables on time and budget using agile engineering practices.
- Develop and debug complex code, conduct code reviews, and mentor other developers on coding in alignment with best practices.
- Must be capable of building solutions from a framework perspective thus ensuring reusability vs. building siloed solutions which have low utility value.
- Provide technical or analytical guidance as needed for issue management, project assessments, and reporting.
- Engineer and develop standard data analytic service offerings to drive risk reduction opportunities for the enterprise.
Minimum Qualifications
- Must have experience in identity and access management, infrastructure technology, big data requirement definition, security event monitoring.
- Bachelor's Degree in Software Engineering, Computer Science, Mathematics, Information Systems, or 10+ years of experience.
- Proficient in such programming languages as Scala, Python and SQL.
- Proficient with big data technologies such as Spark, Iceberg, Hbase, Kafka, Nifi, Hadoop, HDFS, AVRO, Trino, StarBurst.
- Experience with Spark Streaming or other stream processing technologies.
- Proficient with No SQL technologies such as Solr, Elastic and MPP stores such as Greenplum.
Preferred Qualifications
- Drives Innovation and Change: Critical thinker, ability to convince and persuade based on logical presentation of well-researched facts. Highly organized, detail-orientated with the ability to synthesize large amounts of data.
- Builds and Leverages Relationships: Utilizes collaborative working practices.
- Communicates Effectively: Strong verbal and written communications skills including, strong presentation skills, and ability to elicit and translate information from business and technology SMEs in to written requirements.
Minimum Qualifications
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 committed to providing an inclusive and accessible work environment in which all people who apply for positions or who work for or on behalf of Amex are treated with dignity and respect and are provided with equal treatment with respect to employment, regardless of that person's age, sex, sexual orientation, gender identity, gender expression, race, colour, ancestry, ethnic or national origin, citizenship, religion or creed, marital status, family status, pregnancy, disability, record of offences, social condition or origin, political beliefs, association or activity or other factors prohibited under applicable Human Rights legislation (the “Prohibited Grounds”). If you have a disability and need accommodation, please speak with the Recruiter for more information.
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.