
Responsibility:
Qualification:
Core Expertise: 5 to 8+ years of experience of MongoDB features, BSON data structures, and the MongoDB Aggregation Framework
Tools: Proficiency with MongoDB Atlas, Compass, and the MongoDB Shell
Cloud Environments: Familiarity deploying and managing databases on cloud-native platforms like AWS, Google Cloud Platform, or Azure
Programming Languages: Proficiency in backend languages such as Python, Java, or JavaScript
Integration:
Kafka: manage, support and integrate event-driven architecture, topics, schemas, and event payloads.
Flink & Spark: manage, support and integrate for stateful stream processing and large-scale batch ETL pipelines.
Education: Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field
Behavioral Skills:
Good Communication skills
Flexible to rotational shifts, 5 days WFO
Team Player
Ability to work in a changing environment
Strong problem solving and analytical skills
Ability to work independently or within a team
Manage day-to-day challenges and communicate developmental risks with the technical team