Associate SQL Backend Engineer

Company Description
Saatvik Agro is the agro-ingredient unit of the Saatvik Group, specializing in high-quality maize-based ingredients used in food, nutrition, animal feed, and industrial applications. The organization focuses on purity and scientific rigor, converting responsibly sourced maize into functional and reliable ingredient solutions. Its products are designed to meet the evolving needs of modern manufacturers who demand consistency, performance, and safety. Guided by the belief that better ingredients create better outcomes, Saatvik Agro aims to support customers in delivering superior products to their markets.
Role Description
We are looking for an Associate SQL Backend Engineer for a full-time, on-site opportunity based in Morena, Madhya Pradesh, India.
The role is ideal for fresh graduates and early-career professionals interested in backend engineering, SQL development, database systems, API development, enterprise applications, data integration, cloud technologies, automation, and modern software-engineering practices.
The Associate SQL Backend Engineer will work closely with software, IT, data, analytics, operations, production, supply chain, finance, sales, and other business teams to develop, test, integrate, maintain, troubleshoot, and improve backend applications, APIs, database-driven systems, enterprise platforms, internal tools, automation solutions, and digital services.
Depending on project requirements, the role may involve SQL, MySQL, PostgreSQL, SQL Server, Oracle, Java, Python, C#, Node.js, Spring Boot, Django, Flask, FastAPI, .NET, REST APIs, ORM technologies, cloud databases, Git, Docker, testing frameworks, CI/CD, and related backend technologies.
Qualifications
B.E. / B.Tech / B.Sc. / BCA / MCA / M.Sc. / M.Tech in Computer Science, Information Technology, Software Engineering, Computer Applications, Data Science, Artificial Intelligence, Mathematics, Statistics, or a related discipline.
Fresh graduates and candidates with up to 2 years of relevant experience are strongly encouraged to apply.
Final-year students completing their degree and available for full-time employment may also apply.
Candidates with 0–2 years of experience in backend development, SQL development, database development, software engineering, application development, API development, data engineering, or related technology roles can apply.
Candidates currently working as Associate SQL Backend Engineer, Associate Backend Engineer SQL, SQL Backend Engineer, SQL Backend Developer, Backend Developer SQL, Database Developer, SQL Developer, Associate Backend Engineer, Junior SQL Developer, Junior Backend Developer, Associate Software Engineer, Graduate Software Engineer, or similar roles are encouraged to apply.
Candidates from IT services, SaaS, product companies, technology, consulting, e-commerce, fintech, telecom, analytics, manufacturing, logistics, FMCG, or other industries are welcome.
Basic to good knowledge of SQL fundamentals including SELECT statements, joins, subqueries, aggregations, grouping, filtering, views, stored procedures, functions, triggers, transactions, indexes, constraints, and database objects.
Familiarity with MySQL, PostgreSQL, Microsoft SQL Server, Oracle, SQLite, or similar relational database-management systems will be beneficial.
Understanding of relational database design, normalization, primary keys, foreign keys, referential integrity, schemas, entity relationships, and data modelling.
Basic understanding of query optimization, execution plans, indexing strategies, database performance, and efficient SQL-writing practices.
Familiarity with one or more backend programming languages such as Java, Python, C#, JavaScript, TypeScript, Node.js, PHP, Go, or similar technologies will be beneficial.
Exposure to backend frameworks such as Spring Boot, Django, Flask, FastAPI, .NET, Express.js, or similar technologies will be considered an advantage.
Basic understanding of REST APIs, JSON, HTTP/HTTPS, web services, authentication, authorization, API integration, and backend system integration.
Familiarity with CRUD operations, database connectivity, transaction management, connection pooling, data validation, error handling, and application-to-database interactions.
Exposure to ORM technologies such as Hibernate, JPA, SQLAlchemy, Entity Framework, Sequelize, Prisma, or similar tools will be beneficial.
Exposure to MongoDB, Redis, or other NoSQL databases will be advantageous but is not mandatory.
Familiarity with ETL/ELT processes, data extraction, transformation, loading, data pipelines, batch processing, or database integration will be beneficial.
Exposure to stored procedures, database functions, triggers, scheduled jobs, database automation, reporting queries, or backend data-processing workflows will be advantageous.
Familiarity with Git, GitHub, version control, branching, pull requests, debugging, code reviews, and collaborative software-development workflows.
Exposure to Postman, unit testing, API testing, integration testing, database testing, or automated testing will be beneficial but is not mandatory.
Exposure to AWS, Microsoft Azure, Google Cloud, managed database services, Docker, Kubernetes, Jenkins, GitHub Actions, CI/CD, or similar cloud and DevOps technologies will be advantageous.
Basic understanding of Linux, command-line tools, application deployment, database configuration, logging, monitoring, troubleshooting, and production-support concepts will be beneficial.
Exposure to data warehousing, business intelligence, reporting databases, analytics platforms, Power BI, Tableau, or similar technologies will be advantageous but is not mandatory.
Familiarity with database security, user permissions, role-based access control, backups, recovery, encryption, data integrity, and secure data-access concepts will be beneficial.
Exposure to microservices, distributed systems, Kafka, RabbitMQ, Redis, messaging systems, caching, asynchronous processing, or event-driven architectures will be considered an advantage.
Exposure to database performance tuning, query profiling, index optimization, locking, concurrency, transactions, scalability, reliability, and database troubleshooting will be advantageous.
Exposure to automation, data engineering, analytics, AI/ML, ERP, CRM, inventory systems, manufacturing applications, dashboards, or enterprise software will be considered an additional advantage.
Familiarity with Agile, Scrum, Jira, SDLC, requirements gathering, user stories, technical documentation, sprint planning, or issue tracking will be advantageous but is not mandatory.
Good analytical, logical, debugging, troubleshooting, and problem-solving skills.
Good communication, documentation, collaboration, and teamwork abilities.
Ability to understand business and technical requirements and contribute to practical, scalable, reliable, maintainable, and secure backend and database solutions.
Willingness to work in an on-site environment.
Internship, academic project, SQL project, database project, backend project, API project, software project, data project, GitHub project, hackathon, freelance assignment, startup project, or open-source contribution will be considered but is not mandatory.
Candidates without previous full-time backend or SQL-development experience can also apply.
Strong willingness to learn new database technologies, backend frameworks, APIs, cloud platforms, testing tools, and modern software-engineering practices.
Job Location: Morena, Madhya Pradesh
Employment Type: Full-time, On-site
Experience: Freshers & 0–2 Years

Skills
SQL, Python, JavaScript, TypeScript, Node.js, Java, Spring Boot, Spring, Django, FastAPI

Experience
0-2 yrs

Work arrangement
No