Database Developer

Wissen; Bengaluru; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Wissen is seeking a Database Developer / Data Engineer in Bengaluru for hybrid work. The role focuses on SingleStore database optimization, Python scripting, and data-intensive applications. Experience with MongoDB is desirable and will be considered an added advantage.

The candidate will optimize databases, develop automation solutions, and support data workflows in a fast-paced environment.

Qualifications

• 3-5 years of experience in Database Development or Data Engineering.
• Strong experience with SingleStore (MemSQL).
• Proficient in Python scripting for automation and data processing.
• Advanced SQL skills and experience in performance tuning and optimization.

Responsibilities

• Optimize and tune SingleStore databases for performance, scalability, and reliability.
• Analyze and troubleshoot slow-running queries, indexing issues, and bottlenecks.
• Develop and maintain Python scripts for automation, data processing, monitoring, and integration.
• Design and implement efficient data workflows and ingestion processes.
• Monitor database health and identify performance improvement opportunities.
• Collaborate with application development and engineering teams to support business requirements.
• Perform database maintenance, capacity planning, and performance analysis.
• Create and maintain technical docs for database solutions and operations.
• Ensure adherence to data security, governance, and best practices.

Skills

SingleStore

Python scripting

Advanced SQL

Query optimization

Data engineering

Database performance tuning

Education

Bachelor's degree in CS/IT/Engineering

Tools

MongoDB

Kafka

AWS/Azure/GCP

Job description

Bangalore South, India | Posted on 08/05/2026

Job Summary:

We are looking for a Database Developer / Data Engineer with strong expertise inSingleStore database optimization and Python scripting. The ideal candidate will be responsible for improving database performance, developing automation solutions, and supporting data-intensive applications. Experience withMongoDBis desirable and will be considered an added advantage.

Experience: 3-5 Years

Mode of Work: Hybrid

Key Responsibilities:

• Optimize and tuneSingleStoredatabases for performance, scalability, and reliability.
• Analyze and troubleshoot slow-running queries, indexing issues, and database bottlenecks.
• Develop and maintainPython scriptsfor automation, data processing, monitoring, and system integration.
• Design and implement efficient data workflows and ingestion processes.
• Monitor database health and proactively identify performance improvement opportunities.
• Collaborate with application development and engineering teams to support business requirements.
• Perform database maintenance activities, capacity planning, and performance analysis.
• Create and maintain technical documentation for database solutions and operational processes.
• Ensure adherence to data security, governance, and best practices.

Must Have Skills:

• 3-5 years of experience in Database Development, Data Engineering, or a related role.
• Strong hands-on experience withSingleStore (MemSQL).
• Proven expertise indatabase performance tuning, query optimization, indexing, and troubleshooting.
• Strong proficiency inPython scriptingfor automation and data processing.
• Advanced SQL skills with experience in writing and optimizing complex queries.
• Experience working with large-scale datasets and high-volume transactional systems.
• Strong analytical and problem-solving skills.

Good to Have

• Experience or working knowledge ofMongoDB.
• Experience withKafkaand event-driven architecture.
• Exposure cloud platforms such asAWS, Azure, or GCP.
• Knowledge of REST APIs and data integration frameworks.
• Familiarity with Git and CI/CD practices.

Qualifications

• Bachelor's degree in computer science, Information Technology, Engineering, or a related field.
• Strong communication and collaboration skills.
• Ability to work independently in a fast-paced environment.