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Job Description

Job Description : Senior Database Developer (MySQL & AWS Expert)

Location : Hyderabad, India

Experience : 5+ Years (Preferably 7+ Years)

Employment Type : Full-time

Role Overview :

We are looking for an exceptionally strong Database Developer with 5+ years of hands-on experience specializing in MySQL database development on Amazon AWS Cloud. The ideal candidate should have deep expertise in high-performance query tuning, handling massive datasets, designing complex summary tables, and implementing scalable database architectures. This role demands a highly analytical and problem-solving mindset, capable of delivering optimized and mission-critical database solutions.


Key Responsibilities :


- Design, develop, and optimize highly scalable MySQL databases on AWS cloud infrastructure.

- Expert-level performance tuning of queries, indexes, and stored procedures for mission-critical applications.

- Handle large-scale datasets, ensuring efficient query execution and minimal latency.

- Architect and implement summary tables for optimized reporting and analytical performance.

- Work closely with software engineers to design efficient data models, indexing strategies, and partitioning techniques.

- Ensure high availability, disaster recovery, and fault tolerance of database systems.

- Perform root-cause analysis of database bottlenecks and implement robust solutions.

- Implement advanced replication strategies, read/write separation, and data sharding for optimal performance.

- Work with DevOps teams to automate database monitoring, backups, and performance metrics using AWS tools.

- Optimize stored procedures, triggers, and complex database functions to enhance system efficiency.

- Ensure best-in-class data security, encryption, and access control policies.

Must-Have Skills :

- Proven expertise in MySQL query optimization, indexing, and execution plan analysis.

- Strong knowledge of AWS RDS, Aurora, and cloud-native database services.

- Hands-on experience in tuning high-performance, high-volume transactional databases.

- Deep understanding of database partitioning, sharding, caching, and replication strategies.

- Experience working with large-scale datasets (millions to billions of records) and ensuring low-latency queries.

- Advanced experience in database schema design, normalization, and optimization for high availability.

- Proficiency in query profiling, memory management, and database load balancing.

- Strong understanding of data warehousing, ETL processes, and analytics-driven data models.

- Expertise in troubleshooting slow queries and deadlocks in a production environment.

- Proficiency in scripting languages like Python, Shell, or SQL scripting for automation.

Preferred Skills :

- Experience with big data technologies like Redshift, Snowflake, Hadoop, or Spark.

- Exposure to NoSQL databases (MongoDB, Redis) for hybrid data architectures.

- Hands-on experience with CI/CD pipelines and DevOps database management.

- Experience in predictive analytics and AI-driven data optimizations.


Educational Qualification :

- Bachelor's or Masters degree in Computer Science, Information Technology, or a related field.

Salary & Benefits :

- Top-tier compensation package for highly skilled candidates.

- Fast-track career growth with opportunities for leadership roles.

- Comprehensive health benefits and performance-based bonuses.

- Exposure to cutting-edge technologies and large-scale data challenges.


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