
Team Leader- Database Development
6 days ago
Position Summary
We are looking for a highly skilled Senior Database Engineer with a strong background in Apache Kafka and MongoDB clustering. This role blends responsibilities in infrastructure management, database development, and real-time data streaming integration. The ideal candidate has experience across distributed systems, performance tuning, and secure, highly available production environments.
Key Responsibilities
Kafka and MongoDB Cluster Administration
- Install, configure, and maintain high-availability, production-grade Kafka and MongoDB clusters (including sharding and replication).
- Design and manage Kafka topics, partitions, retention policies, and security configurations (SSL/SASL).
- Monitor and tune performance across Kafka Brokers, ZooKeeper, MongoDB replica sets, and sharded clusters.
- Implement disaster recovery, data backup, and restore strategies.
- Conduct regular infrastructure audits to ensure security, compliance, and optimal system health.
Database Development and Integration
- Design and optimize stored procedures, views, and functions in SQL Server/PostgreSQL.
- Build and maintain MongoDB data models, indexes, and aggregation pipelines.
- Develop ETL/ELT workflows integrating Kafka, MongoDB, RDBMS, and other NoSQL systems.
- Build real-time data ingestion pipelines using Kafka producers/consumers.
- Collaborate with development and DevOps teams for seamless integration and automation.
Automation, Monitoring & Compliance
- Use tools such as Prometheus, Grafana, MongoDB Ops Manager, or similar for real-time monitoring.
- Automate database management tasks using Python, Bash, or Ansible.
- Ensure data security and governance (TLS, authentication, access control).
- Align with GDPR, HIPAA, and other data regulatory standards.
Required Qualifications
- Bachelors or Masters degree in Computer Science, Information Systems, or related field.
- Minimum 8 years of total experience, with at least 4 years of hands-on expertise in:
- Kafka ecosystem (brokers, Zookeeper, Kafka Connect, producers/consumers)
- MongoDB clustering (replica sets, sharding, failover management)
- Proficiency in Linux system administration and shell scripting.
- Strong background in SQL and NoSQL databases (PostgreSQL, SQL Server, MongoDB).
- Deep understanding of performance tuning, capacity planning, and security best practices.
Preferred Qualifications
- Experience with additional NoSQL systems like CouchDB, Redis, or Cassandra.
- Exposure to cloud and on-premise environments.
- Experience with Infrastructure as Code (IaC) tools like Terraform.
- Familiarity with Docker, Kubernetes, and containerized data pipelines.
- Certifications in MongoDB, Kafka, or Linux administration are a plus.
Key Skills
- Kafka Cluster Management (Kafka Connect, Topics, Retention, SASL/SSL)
- MongoDB Administration (Replica Sets, Sharding, Aggregation Framework)
- RDBMS & NoSQL Data Modeling and Performance Tuning
- Real-time Event Streaming and ETL Pipeline Development
- Backup/Restore & Disaster Recovery Planning
- Linux, Bash, Python, and Infrastructure Automation.
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