Job Description

Senior Database Engineer(Elastic/Mongo/Hadoop)

Join to apply for the Senior Database Engineer(Elastic/Mongo/Hadoop) role at CatchProbe Intelligence Technologies

Senior Database Engineer(Elastic/Mongo/Hadoop)

22 hours ago Be among the first 25 applicants

Join to apply for the Senior Database Engineer(Elastic/Mongo/Hadoop) role at CatchProbe Intelligence Technologies

Workplace Type: Remote - Region: San Francisco, CA

Job Description

• Must have experience with MongoDB installations, upgrades, support on MongoDB
• Responsible for administration, maintenance, performance analysis, and capacity planning for MongoDB, Elastic, and Hadoop clusters.
• Coordinate and plan with application teams on MongoDB capacity planning for new applications.
• Knowledge of MongoDB tools like mongodump, mongoexport, mongorestore, mongoimport, mongostat, mongotop.
• Proficiency in JSON scripting, writing queries in MongoDB shell scripts.
• Support sharded clusters, perform upgrades, and configuration maintenance.
• Address, monitor, and manage capacity requirements: CPU, memory, storage.
• Assist application teams with performance bottleneck assessments and resolutions.
• Knowledge of authentication/authorization methods in MongoDB: SCRAM-SHA1, X509, LDAP, including TLS/SSL reconfigurations.
• Develop automated solutions for scripts, reports, upgrades, and installations.
• Experience with NoSQL DB technologies.
• Use Cloud manager and share metrics during issues.
• Experience with Docker, deploying MongoDB in containers.
• Knowledge of Hadoop administration is a plus.
• Deploy Hadoop clusters, manage nodes, monitor services, configure HA, backups, etc.
• Develop scripts for log review and query alerts.
• Experience with data storage technologies like Postgres, MySQL, Kafka, Kinesis.
• Strong scripting skills in Python and Shell.
• Build services and expose APIs for data infrastructure automation.

Required Skills

• Understanding of relational and non-relational databases, their use cases.
• 5+ years supporting NoSQL databases (MongoDB, Elasticsearch, Hadoop).
• 1-2 years cloud experience (AWS, Azure, GCP, Hetzner).
• Automation expertise; knowledge of Ansible, Python, Terraform.
• Willingness to learn new technologies.
• Excellent communication and collaboration skills.
• Software development experience, knowledge of modern processes.
• Knowledge of programming languages like Java, Go, Node.js, HTML, CSS, Bootstrap is a plus.
• Experience with AI/ML is a plus.
• Ability to multitask, prioritize, and lead teams.
• Work well under pressure, exercise judgment, exercise discretion.
• Proactive and involved attitude.
• Ownership of Datalake clusters, application onboarding, and issue resolution.

Core Responsibilities

• Develop solutions for complex systems engineering problems.
• Manage Operating Systems & disks, mentor on OS concepts, create automation scripts.
• Manage database platforms, ensure performance, setup, and tuning.
• Handle storage and backups, create policies and standards.
• Develop software, optimize queries, design scalable solutions.
• Architect network systems, understand protocols.
• Advise on application technologies, web services, and system design.
• Analyze systems, lead issue resolution, define new tools, and manage projects.
• Exercise independent judgment, maintain punctuality.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Industries

• Software Development

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