8+ Performance tuning Jobs in Chennai | Performance tuning Job openings in Chennai

Key Responsibilities

• Administer and optimize PostgreSQL databases on AWS RDS
• Monitor database performance, health, and alerts using CloudWatch
• Manage backups, restores, upgrades, and high availability
• Support CDC pipelines using Debezium with Kafka & Zookeeper
• Troubleshoot database and replication/streaming issues
• Ensure database security, access control, and compliance
• Work with developers and DevOps teams for production support
• Use tools like DBeaver for database management and analysis

Required Skills

• Strong experience with PostgreSQL DBA activities
• Hands-on experience with AWS RDS
• Knowledge of Debezium, Kafka, and Zookeeper
• Monitoring using AWS CloudWatch
• Proficiency in DBeaver and SQL
• Experience supporting production environments

About the Role:

We are looking for a detail-oriented and analytical Senior Data Analyst to join our Chennai team. The ideal candidate will have strong skills in T-SQL/PL-SQL, data platform management, and reporting tools, along with experience in database administration and performance tuning. You will play a key role in transforming raw data into meaningful insights that drive business decisions.

Key Responsibilities:

• Write complex queries using T-SQL / PL-SQL to extract, manipulate, and analyze data.
• Develop and maintain reports, dashboards, and visualizations using modern reporting platforms (Power BI, SSRS, etc.).
• Manage and maintain the data platform to ensure availability, accuracy, and security.
• Support database administration tasks including backups, restores, access management, and monitoring.
• Perform performance tuning of SQL queries and databases to ensure optimal response times.
• Collaborate with cross-functional teams to understand data requirements and deliver actionable insights.
• Ensure data integrity and consistency across all reporting systems.

Mandatory Skills:

• T-SQL / PL-SQL – Advanced query writing and stored procedure development.
• Reporting Platforms – Experience with tools like Power BI, SSRS, Tableau, etc.
• Data Platform Management – Knowledge of modern data ecosystems (SQL Server, Oracle, Azure Data Services, etc.).
• Database Administration – Proficient in handling database maintenance, security, and monitoring.
• Performance Tuning – Strong understanding of optimizing SQL queries and database performance.

Preferred Qualifications:

• Experience with cloud-based data services (Azure, AWS, etc.)
• Knowledge of ETL tools and data warehousing concepts
• Understanding of data governance and compliance

What We Offer:

• Great Culture – A workplace that feels like home! We believe in collaboration, trust, and creating a supportive environment.
• Growth Opportunities – We invest in your learning and development to help you grow both personally and professionally.
• Health & Wellness – Comprehensive wellness programs and benefits to support your well-being.
• Performance Recognition – We celebrate achievements and recognize efforts through regular rewards and appreciation.

Drop us a message or apply now to be part of something big.

kindly Mentions your:

-Current Location

-Your Total Experience

-CTC

-ECTC

-N.P-

Let's Grow Together

Job Type: Full-time

Benefits:

• Food provided
• Health insurance
• Paid sick time
• Paid time off
• Provident Fund

Schedule:

• Day shift

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

Company Description

At Bungee Tech, we help retailers and brands meet customers everywhere and, on every occasion, they are in. We believe that accurate, high-quality data matched with compelling market insights empowers retailers and brands to keep their customers at the center of all innovation and value they are delivering. 

We provide a clear and complete omnichannel picture of their competitive landscape to retailers and brands. We collect billions of data points every day and multiple times in a day from publicly available sources. Using high-quality extraction, we uncover detailed information on products or services, which we automatically match, and then proactively track for price, promotion, and availability. Plus, anything we do not match helps to identify a new assortment opportunity.

Empowered with this unrivalled intelligence, we unlock compelling analytics and insights that once blended with verified partner data from trusted sources such as Nielsen, paints a complete, consolidated picture of the competitive landscape.

We are looking for a Big Data Engineer who will work on the collecting, storing, processing, and analyzing of huge sets of data. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them.

You will also be responsible for integrating them with the architecture used in the company.

We're working on the future. If you are seeking an environment where you can drive innovation, If you want to apply state-of-the-art software technologies to solve real world problems, If you want the satisfaction of providing visible benefit to end-users in an iterative fast paced environment, this is your opportunity.

Responsibilities

As an experienced member of the team, in this role, you will:

• Contribute to evolving the technical direction of analytical Systems and play a critical role their design and development

• You will research, design and code, troubleshoot and support. What you create is also what you own.

• Develop the next generation of automation tools for monitoring and measuring data quality, with associated user interfaces.

• Be able to broaden your technical skills and work in an environment that thrives on creativity, efficient execution, and product innovation.

BASIC QUALIFICATIONS

• Bachelor’s degree or higher in an analytical area such as Computer Science, Physics, Mathematics, Statistics, Engineering or similar.
• 5+ years relevant professional experience in Data Engineering and Business Intelligence
• 5+ years in with Advanced SQL (analytical functions), ETL, Data Warehousing.
• Strong knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures, data modeling and performance tuning.
• Ability to effectively communicate with both business and technical teams.
• Excellent coding skills in Java, Python, C++, or equivalent object-oriented programming language
• Understanding of relational and non-relational databases and basic SQL
• Proficiency with at least one of these scripting languages: Perl / Python / Ruby / shell script

PREFERRED QUALIFICATIONS

• Experience with building data pipelines from application databases.
• Experience with AWS services - S3, Redshift, Spectrum, EMR, Glue, Athena, ELK etc.
• Experience working with Data Lakes.
• Experience providing technical leadership and mentor other engineers for the best practices on the data engineering space
• Sharp problem solving skills and ability to resolve ambiguous requirements
• Experience on working with Big Data
• Knowledge and experience on working with Hive and the Hadoop ecosystem
• Knowledge of Spark
• Experience working with Data Science teams

• MSSQL, SSIS, Performance Tuning, Data modeling.
• Experience in No SQL tools is must
• Candidate should have exposure to write scripts in Python/Node JS/MongoDB or any other tool
• Maria DB/MYSQL, Mongo DB, Github, Jira
• Understand Requirements from client and on-site team.
• Participate in preparing design and data modelling.
• Comfortable with SQL Stored procedures and queries development.
• Comfortable with SQL Stored procedures and queries development.
• Manage SQL Server through multiple product lifecycle / environments, from development to critical production systems.
• Apply best in industry standard techniques for data modeling to ensure performance, integrate and requirement.
• Ability to analyze independently problems and resolve them on time.