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Mid-senior data engineer in metro with broad skillset and known consulting brand increases candidate competition.
Core data engineering skills are transferable across industries despite nice-to-have banking knowledge.
Explicit 7+ years requirement plus mandatory Java, MongoDB, cloud, API, and Kubernetes skills tighten filtering.
Design and implement scalable data pipelines and backend services using Java and Spring Boot.
Lead MongoDB schema design, optimize queries, and manage indexing for high availability and low latency.
Develop and maintain secure RESTful APIs and deploy/manage data workloads on cloud platforms (IBM Cloud, AWS, Azure, or GCP).
6-8 years of experience in Data Engineering with expertise in MongoDB, API integration, cloud infrastructure, and Java with Spring Boot.
Bachelor's Degree in IT, Computer Science, or related field (or equivalent experience).
Proficiency with Git, Maven/Gradle, Docker, Kubernetes, and complex SQL queries.
Location: Mumbai. Work Experience Required: 6-8 years in relevant field.
Experienced in agile development environments with strong analytical and communication skills to collaborate with both IT and business teams.
Capability to independently design, build, debug, maintain, and enhance data solutions in a complex, cross-cultural agile team.
Hands-on experience with cloud-managed services and advanced MongoDB features (aggregation framework, sharding, replication, Atlas).