29 applicants

Company

Original Job Post

American Express · 2 days ago

Senior Engineer - Java - Enterprise Data Management

New York, NY

Full-time

Hybrid

Senior Level

$110K/yr - $190K/yr

8+ years exp

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Comp. & Benefits

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Responsibilities

Be a very skilled engineer with experience across programing languages, data integration technologies and data management pipelines.

Partner with business, product, engineering, and data science teams to unlock the power of using data across Amex by translating business requirements/problems to solutions, products, or services.

Partner Enterprise Tech Data Strategy & Architecture team to develop and implement software that meets the technology and business' needs including creating highly scalable data management pipelines comprising of operational and product data to build a Data fabric foundation for the enterprise.

Engineer complex solutions and ensure that they are in alignment with the data architecture principles, standards, strategies, and target states.

Adopt industry-leading technologies to support best-in-class business capabilities for high-performance computing and data storage solutions.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

JavaPythonData PrivacyData SecurityData SharingBigIDCollibraMicroservicesWeb ServicesAPI IntegrationRESTSOAPMulesoft ESBRDBMSNoSQLPostgreSQLRedshiftBigQueryCouchbaseMongoDBCassandraHBaseNeo4JLinux CommandsScriptingCICD PipelineETL ToolsInformaticaTalendPentaho

Required

8+ years of hands-on experience with one or more major programming/scripting languages such as Java, Python, scripting.

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.

Have strong knowledge in Data Privacy, data security, data sharing aspects of the world.

Current hands-on experience with industry leading data management and privacy side tools like BigID, Collibra and other similar tools is a big plus.

4+ years of experience in working with microservices, web services & API based integration patterns using REST/SOAP, Mulesoft ESB etc.

4+ years of experience in working with high-scale or distributed RDBMS and/or NoSQL platforms (e.g. PostgreSQL, Redshift, BigQuery, Couchbase, MongoDB, Cassandra, HBase, Neo4J etc.).

Proficiency in working with Linux commands and scripting and experience in CICD pipeline setup and e2e automation for build, test, and deployment.

Previous experience in working with ETL tools such as Informatica, Talend, Pentaho and/or similar tools is a plus.

Experience supporting and working with multi-functional teams in a dynamic environment.

Implementation experience / good familiarity with DSAR, GBPR, CCPA and others.

Confidence in leading and driving the team independently.

Fostering relationships with Product and other partner groups.

Strong analytical skills and algorithmic problem-solving skills.

Knowledge of / experience with Machine Learning is a plus.

Knowledge of / experience with Docker/Kubernetes and one or more public cloud (AWS, GCP, Azure).

Preferred

Advanced degree in computer science, Computer Engineering, EE, EEE, Statistics, Math, Industrial Engineering, Operational Research, Physics, Financial Engineering, or related STEM fields.

Experience with DSAR, GBPR, CCPA and others.

Knowledge of / experience with Machine Learning.

Knowledge of / experience with Docker/Kubernetes and one or more public cloud (AWS, GCP, Azure).