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What you’ll bring

All qualifications

Core experience

5–7 years of hands-on database development experience in enterprise or product-based environments
Ability to collaborate with cross-functional teams
Ability to collaborate with cross-functional teams
Deep expertise in relational database theory, design, and architecture
Ability to manage priorities in a fast-paced, multi-tasking environment
Experience working in Agile or DevOps-based teams

Qualification wording

5–7 years of hands-on database development experience in enterprise or product-based environments

Ability to collaborate with cross-functional teams

Deep expertise in relational database theory, design, and architecture

Ability to manage priorities in a fast-paced, multi-tasking environment

Experience working in Agile or DevOps-based teams

Tools in this posting

Java
Python
Shell
SQL
AWS
Azure
Google Cloud (GCP)
MySQL
Oracle
SSRS
JavaScript
PostgreSQL
Power BI
Metabase
SQL Server

Source

Backend and Full-Stack Integration: - Work with backend developers (Dot net core & Dot net framework, Python, Java) to integrate database logic into applications - Design and consume RESTful APIs to facilitate secure data exchange

- Database Platforms: Oracle, MySQL, SQL Server (others a plus) - Languages: SQL, PL/SQL, T-SQL, Python, Java (basic) - Frameworks/Tools: REST APIs, SSRS/SSIS, Shell Scripting, Git

- Stay updated on trends in database development, cloud, and automation Linux Environment & Shell Scripting and Cloud & BI Tool Experience will be an added advantage. - Support database operations in Linux environments

As a Database Developer, you will design, develop, and optimise database solutions for enterprise and SaaS platforms. You will be responsible for building efficient and scalable data systems, writing and tuning SQL queries, supporting backend integration, and ensuring data integrity and performance. You will collaborate with product, DevOps, and QA teams, contribute to documentation, and continuously improve your skills in cloud, automation, and modern data engineering practices. Essential Functions / Deliverables

- Design relational and distributed database schemas for scalability, performance, and normalisation - Develop and maintain SQL queries, PL/SQL packages, stored procedures, views, triggers, and functions - Define and enforce data modelling standards

Cloud Data Strategy & BI Tool Integration: - Prototype and recommend cloud-native DB solutions (e.g., AWS RDS, Azure SQL, GCP Cloud SQL) - Integrate with BI/reporting platforms (SSRS, Power BI, Metabase)

Technical/Computer Skills - Database Platforms: Oracle, MySQL, SQL Server (others a plus) - Languages: SQL, PL/SQL, T-SQL, Python, Java (basic)

Education: Bachelor’s degree in Computer science, Engineering, or a related field Certifications (Preferred): Certifications in Oracle / PostgreSQL / AWS / GCP Required Professional Experience

Database Administration and Environment Management: - Manage deployments, patches, backups, restores, and upgrades of Oracle/PostgreSQL/MySQL environments - Implement high-availability and failover solutions

- Prototype and recommend cloud-native DB solutions (e.g., AWS RDS, Azure SQL, GCP Cloud SQL) - Integrate with BI/reporting platforms (SSRS, Power BI, Metabase) - Develop ETL/ELT data pipelines for analytics initiatives

- Languages: SQL, PL/SQL, T-SQL, Python, Java (basic) - Frameworks/Tools: REST APIs, SSRS/SSIS, Shell Scripting, Git - Operating Systems: Windows, Linux (preferred)

- Design and consume RESTful APIs to facilitate secure data exchange - Participate in full-stack development with occasional involvement in frontend tasks (HTML/CSS/JS) Cross-functional Collaboration:

Job description

View original posting ↗

As a Database Developer, you will design, develop, and optimise database solutions for enterprise and SaaS platforms. You will be responsible for building efficient and scalable data systems, writing and tuning SQL queries, supporting backend integration, and ensuring data integrity and performance. You will collaborate with product, DevOps, and QA teams, contribute to documentation, and continuously improve your skills in cloud, automation, and modern data engineering practices.

Essential Functions / Deliverables

Database Architecture, Design & Development:

Design relational and distributed database schemas for scalability, performance, and normalisation
Develop and maintain SQL queries, PL/SQL packages, stored procedures, views, triggers, and functions
Define and enforce data modelling standards
Support both OLTP and OLAP environments

Performance Tuning & Optimization:

Perform advanced query tuning, indexing strategies, and plan analysis
Identify and resolve bottlenecks and slow queries
Optimize large-volume transactions and reporting performance across databases
Automate monitoring and alerting of performance issues

Database Administration and Environment Management:

Manage deployments, patches, backups, restores, and upgrades of Oracle/PostgreSQL/MySQL environments
Implement high-availability and failover solutions
Ensure data security, access controls, and audit readiness
Assist with replication and data migration strategies

Backend and Full-Stack Integration:

Work with backend developers (Dot net core & Dot net framework, Python, Java) to integrate database logic into applications
Design and consume RESTful APIs to facilitate secure data exchange
Participate in full-stack development with occasional involvement in frontend tasks (HTML/CSS/JS)

Cross-functional Collaboration:

Collaborate with QA, DevOps, Product Managers, and UX teams
Translate business requirements into technical specifications
Participate in agile ceremonies such as sprint planning, retrospectives, and demos

Documentation, Standards & Governance:

Create and maintain technical documentation, ER diagrams, SOPs, and version history
Promote database best practices, naming conventions, and change control policies
Contribute to SKO’s internal knowledge base and technical wiki

Cloud Data Strategy & BI Tool Integration:

Prototype and recommend cloud-native DB solutions (e.g., AWS RDS, Azure SQL, GCP Cloud SQL)
Integrate with BI/reporting platforms (SSRS, Power BI, Metabase)
Develop ETL/ELT data pipelines for analytics initiatives

Continuous Improvement and Learning

Participate in code reviews and peer learning
Identify skills gaps and seek training opportunities
Contribute to proof-of-concept initiatives and tech evaluations
Stay updated on trends in database development, cloud, and automation

Linux Environment & Shell Scripting and Cloud & BI Tool Experience will be an added advantage.

Support database operations in Linux environments
Write and maintain shell scripts for automation

AI & Automation in Data Engineering (Improvement):

Explore and adopt AI-powered tools for query optimisation, anomaly detection, and documentation
Automate repetitive database tasks using scripts and modern tools
Experiment with AI-driven analytics and reporting
Share insights and promote innovation in database practices

Requirements

Education: Bachelor’s degree in Computer science, Engineering, or a related field

Certifications (Preferred): Certifications in Oracle / PostgreSQL / AWS / GCP

Required Professional Experience

5–7 years of hands-on database development experience in enterprise or product-based environments
Experience working in Agile or DevOps-based teams

Technical/Computer Skills

Database Platforms: Oracle, MySQL, SQL Server (others a plus)
Languages: SQL, PL/SQL, T-SQL, Python, Java (basic)
Frameworks/Tools: REST APIs, SSRS/SSIS, Shell Scripting, Git
Operating Systems: Windows, Linux (preferred)
Skills: Query optimisation, ER modelling, backup & recovery, source control, Agile development tools (ADO, Confluence)

Professional competencies

Strong analytical, debugging, and problem-solving skills
Excellent verbal and written communication
Ability to collaborate with cross-functional teams
Deep expertise in relational database theory, design, and architecture

Preferred work exposure:

Strong analytical, debugging, and problem-solving skills
Excellent verbal and written communication
Ability to collaborate with cross-functional teams

Behaviour and Social competencies

Deep expertise in relational database theory, design, and architecture
Strong problem-solving and troubleshooting skills
Ability to manage priorities in a fast-paced, multi-tasking environment
Clear communication and documentation skills
Capability to work independently and in collaborative environment
Strong sense of ownership, business acumen, leadership mindset and accountability
Willingness to contribute to the company’s product growth and development culture

Ethics & Compliance: This position demands the highest standard of integrity and ethical behaviour candidate must promote compliance in handling data and implementing security policies, it is expected to report / speak up about risks, compliance gaps, or ethical concerns in the team or systems.

Your next step

Have your CV and examples of relevant work ready.
Check the listed location, eligibility and core experience before starting.
Ask the employer about the salary range before committing time to the process.

Complete your application on skosystems.zohorecruit.in. The employer’s form will show what is required.

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Source & posting history

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Pay

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Location & working pattern

Pune, India

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Open source at skosystems.zohorecruit.in ↗Read the full description ↓

Status in our records: Active
First seen by us: Jun 19, 2026
Recorded sightings: 44
Last seen by us: Oct 8, 2026

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