5+ Database performance tuning Jobs in India

Oracle OAS Developer

 

 

Senior OAS/OAC (Oracle analytics) designer and developer having 3+ years of experience. Worked on new Oracle Analytics platform. Used latest features, custom plug ins and design new one using Java. Has good understanding about the various graphs data points and usage for appropriate financial data display. Worked on performance tuning and build complex data security requirements.

Qualifications

Bachelor university degree in Engineering/Computer Science.

Additional information

Have knowledge of Financial and HR dashboard

 

Bachelor’s degree required.
Minimum Four years of experience.
Good for you to have –

Excellent knowledge of architectural/design patterns, data structures and algorithms
Expertise on performance tuning and optimizations.
You will definitely possess these technical skills –

Core skill set (must) : Core Java, Multi-threading, GC, J2EE technologies, REST
Core skill set (must) : RDBMS, Data Modeling, DB tuning
Working Knowledge (must): Server side implementation for highly concurrent and responsive systems.

Rajasthan Studio is looking for young and bright minds for its upcoming innovative, never-experienced-before app platform for virtual art experiences.

 

We are looking for programmers with problem-solving skills and critical thinking abilities for the position of Back End developer. Back End developers are responsible for creating a bridge between customers and business logic, optimizing applications for maximum efficiency, creating dashboards for internal teams, and maintaining brand consistency across the application, among other duties.

 

Backend Web Developers are responsible for managing the interchange of data between the server and the users. The role's primary focus will be the development of all server-side logic, definition, and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end. A basic understanding of front-end technologies is necessary as well.

 

Responsibilities -

• Creating RESTful API/GraphQL to be consumed by Flutter developers
• Building reusable code and libraries for future use
• Optimization of the application for maximum speed and scalability
• Implementation of security and data protection
• Design and implementation of data storage solutions
• Participate in the entire application lifecycle, focusing on coding and debugging
• Write clean code to develop functional web applications
• Troubleshoot and debug applications
• Provide training and support to internal teams

 

Skill & Qualifications -

• Basic understanding of front-end technologies and platforms, such as JavaScript, HTML5, and CSS3
• Understanding accessibility and security compliances
• User authentication and authorization between multiple systems, servers, and environments
• Integration of multiple data sources and databases into one system
• Management of hosting environment, including database administration and scaling an application to support load changes
• Data migration, transformation, and scripting
• Setup and administration of backups
• Outputting data in different formats
• Understanding differences between multiple delivery platforms such as mobile vs desktop, and optimizing output to match the specific platform
• Creating database schemas that represent and support business processes
• Implementing automated testing platforms and unit tests
• Proficient understanding of code versioning tools, such as Git
• Proficient understanding of OWASP security principles
• Understanding of “session management” in a distributed server environment
• Knowledge of Yii framework - version 2 (preferred)

Essential duties and responsibilities include the following.

• Design, create and maintain databases through multiple product lifecycle environments, from development to production systems
• Configure and maintain database servers and processes, monitor system health and performance, to ensure high levels of performance, availability, and security.
• Convert complex business requirements into technical specifcations to build scalable and reliable data solutions 
• Apply data modelling techniques to ensure development and implementation support efforts meet integration and performance expectations.
• Independently analyse, solve, and correct issues in real time on production, providing problem resolution end-to-end.
• Refine and automate regular processes, track issues, and document changes.
• Develop complex query, performance tuning, stored procedures and triggers, scheduled jobs, schema refinement.
• Flexibility to work after office hours for any production issue or production deployment.
• Perform scheduled maintenance and support release deployment activities after hours.
• Share domain and technical expertise, providing technical mentorship and cross-training to other peers and team members.

Qualifications include:

• 4+ years of database and backend development experience
• Good understanding of database systems and architectures
• Expertise in writing complex SQL queries and stored procedures
• Hands on experience with RDBMS and NoSQL data stores like  MySQL and MongoDB
• Experience working with Python scripting and application development
• Experience working with Cloud applications and data stores like AWS RDS is a plus
• In-depth understanding of data management and ETL processes

Our product is centered around lots of data being processed, ingested and read efficiently. The underlying systems need to provide capabilities update and ingest data on the order of billions of records on a daily basis. Complex analytics queries need to run on 10s of billions of rows where a single query that can potentially touch 100+ million rows needs to finish in interactive SLAs. All of this processing happens on data with several 100s of dimensions and tens of thousands of metrics.

This leads to a very interesting and challenging use case in the emerging field of large scale distributed HTAP, which is still not mature enough to provide a solution out of the box that works for our scale and SLAs. So, we are building a solution that can handle the complexity of our use case and scale to several trillions of rows. As a "Database Engineer", you will evolve, architect, build and scale the core data warehouse that sits at the heart of Clarisights enabling large scale distributed, interactive analytics on near realtime data.

What you'll do

- Understanding and gaining expertise in existing data warehouse.
- Use the above knowledge to identify gaps in the current system and formulate strategies around what can be done to fill them
- Avail KPIs around the data warehouse.
- Find solutions to evolve and scale the data warehouse. This will involve a lot of technical research, benchmarking and testing of existing and candidate replacement systems.
- Bulid from scratch all or parts of the data warehouse to improve the KPIs.
- Ensure the SLAs and SLOs of data warehouse, which will require assuming ownership and being oncall for the same.
- Gain deep understanding into Linux and understand concepts that drive performance characteristics like IO scheduling, paging, processing scheduling, CPU instruction pipelining etc.
- Adopt/build tooling and tune the systems to extract maximum performance out of the underlying hardware.
- Build wrappers/microservices for improving visibility, control, adoption and ease of use for the data warehouse.
- Build tooling and automation for monitoring, debugging and deployment of the warehouse.
- Contribute to open source database technologies that are used at or are potential candidates for use.

What you bring

We are looking for engineers with a strong passion for solving challenging engineering problems and a burning desire to learn and grow in a fast growing startup. This is not an easy gig, it will require strong technical chops and an insatiable curiosity to make things better. We need passionate and mature engineers who can do wonders with some mentoring and don't need to be managed.

- Distributed systems: You have a good understanding of general patterns of scaling and fault-tolerance in large scale distributed systems.
- Databases: You have a good understanding of database concepts like query optimization, indexing, transactions, sharding, replication etc.
- Data pipelines: You have a working knowledge of distributed data processing systems.
- Engineer at heart: You thrive on writing great code and have a strong appreciation for modular, testable and maintainable code, and make sure to document it. You have the ability to take new initiatives and questioning status quo.
- Passion & Drive to learn and excel: You believe in our vision. You drive the product for the better, always looking to improve things, and soon become the go-to person to talk to on something that you mastered along. You love dabbling in your own side-projects and learning new skills that are not necessarily part of your normal day job.
- Inquisitiveness: You are curious to know how different modules on our platform work. You are not afraid to venture into unknown territories of code. You ask questions.
- Ownership: You are your own manager. You have the ability to implement engineering tasks on your own without a need for micro-management and take responsibility for any task that has been assigned to you.
- Teamwork: You should be helpful and work well with teams. You’re probably someone who enjoys sharing knowledge with team-mates, asking for help when they need it.
- Open Source Contribution: Bonus.