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Mid-level role, metro location, generalist data skills and known consulting brand increase competition.
Core data engineering skills are highly transferable across industries; payments knowledge is only desirable.
Explicit years plus mandatory Java, MongoDB, cloud and API skills create strict screening filters.
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Design, build, and optimize scalable data pipelines and backend services primarily using Java and Spring Boot.
Lead MongoDB schema design, query optimization, and indexing to ensure high availability and low latency.
Develop and maintain secure RESTful APIs and manage data workloads on cloud platforms (IBM Cloud, AWS, Azure, or GCP).
6-9 years experience in Data Engineering with expertise in MongoDB, API integration, and cloud infrastructure.
Expert proficiency in Java and Spring Boot, plus advanced knowledge of MongoDB features like aggregation, sharding, replication, and Atlas.
Bachelor's Degree in IT, Computer Science, or equivalent experience.
Experience with containerization tools (Docker, Kubernetes), Git, and build tools (Maven/Gradle).
Strong hands-on experience with large-scale Java backend and data pipeline development.
Proven ability to work in an Agile environment and collaborate with onshore and offshore teams, including cross-cultural teams.
Comfortable working in payment domain preferred but not mandatory; proactive in adopting new technologies and delivering high-quality code.