Database Architect
6 days ago
i. BE/ B.Tech/ M.Tech/ MCA quarification or equivalent;
ii. Post-graduation in technology is preferred;
iii. Should have strong oral and wriffen communication skills
and should be well-versed with program management tools;
Job Description
- l0+ years of database experience MySQL, Postgress SQL, MS-SQL, Hbase, Casandra, MongoDB etc.
- Knowledge on CEPH is mandatory
- Experience as a software developer or data architect or in a data management role
- Experience working with at least two, and expert-level knowledge of at least two database technologies like'Mysel,
- Postgres, MS sQL Server, vertica, Snowflake, Dynamoolg, MongoDB, DocumentDB, Map-R, Cassandra etc.
- Understanding of various relational and non-relational database technologies along with their benefits, downsides, and best usecase willingness and commitment to learn other database, automation, and Cloud technologies
- Proficiency in automation
- Experience working with the databases in public clouds, preferably AWS
- Strong analytical skills
- Ability to perform system monitoring and address various issues in the system
- Ability to do performance tuning and database development
Role & responsibilities
- Creating and maintaining high pa stable data architectures for the onto Innovation product suite
- Research new database methods and technologies to fully utilize platform feature s working with customer, development squads, and product management to identiff and document use case scenarios
- Lead on all data solution aspects including setting data standards and providing your deep technical "*p.riir" to
- development teams for best practices, systems, and architecfures
- Design data architectures and solutions that are highly available and meet disaster recovery requirements
- Design effective data store solutions that account for effective capacity planning, datatiering, and data life-cycle management
- Design automated deployment procedures for on-premises and cloud work with QA to create detailed test plans and needed tooling to account targeted performance for production volume data
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