Job Description :

i. BE/ B.Tech/ M.Tech/ MCA qualification or equivalent.

ii. Post-graduation in technology is preferred.

iii. Should have strong oral and written communication skills and should be well-versed with program management tools.

Total Experience : 10 - 15 years

Requirements :

- 10+ 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 MySQL, Postgres, MS SQL Server, Vertica, Snowflake, Dynamodb, 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 :

1. Creating and maintaining high stable data architectures for the Onto Innovation product suite.

2. Research new database methods and technologies to fully utilize platform features working with customer, development squads, and product management to identify and document use case scenarios.

3. Lead on all data solution aspects including setting data standards and providing your deep technical expertise to development teams for best practices, systems, and architectures.

4. Design data architectures and solutions that are highly available and meet disaster recovery requirements.

5. Design effective data store solutions that account for effective capacity planning, data tiering, and data life-cycle management.

6. 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.