Big Data Engineer
Job Description
When you join Team Amex, you become part of a diverse community of over 60,000 colleagues, all with a common goal to deliver an exceptional customer experience every day. Here, you'll learn and grow as we champion your meaningful career journey with programs, benefits, and flexibility to back you personally and professionally. Every colleague shares in the company's success.
Together, we'll win as a team, striving to uphold our company values and powerful backing promise to our customers, communities, and each other every day. And, we'll do it with integrity and in an environment where everyone is seen, heard and feels like they truly belong.
Join #TeamAmex and let's lead the way together.
From building next-generation apps and microservices in Kotlin to using AI to help protect our customers from fraud, you could be doing transformational work that brings our iconic, global brand into the future. As a part of our tech team, we could work together to bring ground-breaking and diverse ideas to life that power the digital systems, services, products and platforms that millions of customers around the world depend on. If you love to work with APIs, contribute to open source, or use the latest technologies, we'll support you with an open environment and learning culture to grow your career.
Focus:
Contributes to design, development, troubleshooting, debugging, evaluating, modifying, deploying, and documenting software and systems that meet the needs of customer-facing applications, business applications, and/or internal end user applications.
Organizational Context:
Entry-level hire, member of a product engineering or delivery and integration team reporting to a Senior Engineer, Engineering Director or Director Product Delivery & Integration.
How will you make an impact in this role?
- Beginner level ability in software development, such coding assignments.
- Function as member of an agile team by contributing to software builds through consistent development practices (tools, common components, and documentation).
- Demonstrate increased self-reliance to achieve team goals.
- Participate in code reviews and automated testing.
- Debug basic software components and identify code defects for remediation.
- Enable the deployment, support, and monitoring of software across test, integration, and production environments.
- Automate deployments in test or production environments.
- Automatically scale applications based on demand projections.
Range of Impact/Influence:
- Accountable for team completing work you're leading and work you are doing as agreed upon
- Accountable to team for delivery of quality work
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. Find your place in technology on #TeamAmex.
2-4 Years of relevant work experience in Python, APIs and Big data technologies ( Hive, Spark, pySpark, Scala) and BI Advanced Visualization using Tableau/Splunk/D3 and experience with SQL/NoSQL DB.
- BS Degree or higher in Computer Science or related discipline.
Functional Skills/Capabilities:
- Exposure to Big Data platforms and data architecture.
- Hands on experience in developing data movement pipelines and data transformation.
- Code Review and Technical discussion with the team on best solutions possible.
- Experience with design and coding across one or more platforms and as appropriate.
- Hands-on experience with application design, software development, and testing.
- Experience in distributed (multi-tiered) systems and relational databases.
Technical Skills/Capabilities:
- Strong knowledge of query languages like SQL/HIVE QL.
- Good understanding of Big Data Technologies ( Hadoop, Mapreduce, HDFS. ).
- Well acclimated to data structures and data transformation principles.
- Programming knowledge of Python & shell scripts is a plus.
- Good understanding of CI/CD processes leveraging Jenkins, XLR and Maven.
- Understanding of Distributed NoSQL databases(Couchbase, Cassandra, Redis, HBASE).
- Knowledge of American Express Process frameworks for data ingestion and transformation is a plus.
- Knowledge of REST APIs, Event Driven Architecture - Kafka is a plus.
- Good knowledge about code/configuration/testing and version management tools like Github.
- Understanding of various SDLC methodologies particularly Agile and tools such as Confluence, Rally / Jira.
We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.
US Job Seekers/Employees - Click here to view the "EEO is the Law" poster and supplement and the Pay Transparency Policy Statement. If the links do not work, please copy and paste the following URLs in a new browser window: https://www.dol.gov/agencies/ofccp/posters to access the three posters.
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, age, or any other status protected by law.
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Date Posted
10/14/2022
Views
6
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