Sr. Data Engineer
1 month ago
What You'll Do
• Analyses, designs, builds, and implements sophisticated databases including access methods, device allocations,
• validation checks, organization, and security.
• Interprets internal or external issues and recommends solutions and standard methodologies.
• Crafts sophisticated data models, logical and physical databases, data dictionaries, and schemas.
• Reviews systems under development and related documentation and participates in vendor selection
and relationship management.
• Design, implement, and handle sharding and indexing strategies, security backups, restores of
MongoDB, MongoDB Cloud Manager, Data Purging and Cloud Backup.
• Should be an Expert in ElasticSearch/OpenSearch database.
• Supervising & fine-tuning cloud DB. Fixing database issues quickly & efficiently.
• Fix sophisticated technical problems, and assess and mitigate risks by conducting performance tuning,
backup/recovery
• Scalability/capacity planning using Linux, system calls, memory management, and debugging.
• Establish and maintain security and integrity controls, and formulate and supervise policies,
procedures, and standards relating to data management.
• Provide support for system upgrades and new system releases,
• Perform database monitoring using SQL, PL/SQL, and UNIX shell scripting, security monitoring,
troubleshooting, and resolution of system failures.
• Maintain detailed documentation of database Design Architecture and setup.
• Provide training to members of the infrastructure teams
• We require an experienced Data Base Administrator to join our growing team. The successful candidate will join our DBA team to expand, support, and handle the platform
• Building a scalable API module in GraphQL using Express API framework and where you will be writing very optimal and tuned MongoDB and RDS queries.
Who You Are
• Solid grasp of DB administration having 5-8 years of hands-on experience.
• Support databases for production, development & AWS Cloud DB’s.
• Participate in large, sophisticated database/application deployment, migration, patching,
consolidation, and upgrade projects.
• Set up and supervise backups; implement and test recovery techniques; diagnose and fix performance
issues.
• Experience with performance optimization (server/ query tuning).
• Ability to multi-task and context-switch optimally between different activities and teams.
• Provide 24x7 support for critical production systems.
• Excellent written and verbal communication.
• Ability to coordinate and plan work independently in a constantly evolving environment.
• Familiarity using a programming language such as Python.
• Hands-on experience using managed services from one or more of the major cloud vendors: AWS is a must.
• Experience working with distributed processing frameworks such as Spark, Hadoop, Hive, or other Apache Foundation frameworks.
• Deep working knowledge in Python language with very much hands-on frameworks like Express and building API’s with the latest technologies like GraphQL.
Our minimum requirements for this role:
• Proven Experience in MySQL, AWS OpenSearch, Linux & MONGO Cloud Desired Skills
• Python development experience with express framework is a must and GraphQL experience is added advantage.
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