2+ SQL Jobs in Bhubaneswar | SQL Job openings in Bhubaneswar

Brandzzy is a forward-thinking technology company dedicated to building innovative and scalable Software-as-a-Service (SaaS) solutions. We are a passionate team focused on creating products that solve real-world problems and deliver exceptional user experiences. Join us as we scale our platform to new heights.

Role Summary:

We are seeking an experienced and visionary Senior Full Stack Developer to lead the technical design and development of our core SaaS platform. In this role, you will be responsible for making critical architectural decisions, mentoring other engineers, and ensuring our application is built for massive scale and high performance. You are not just a coder; you are a technical leader who will shape the future of our product and drive our engineering culture forward.

Key Responsibilities:

• Lead the architecture and design of highly scalable, secure, and resilient full-stack web applications.
• Take ownership of major features and system components, from technical strategy through to deployment and long-term maintenance.
• Mentor and guide junior and mid-level developers, conducting code reviews and fostering a culture of technical excellence.
• Drive technical strategy and make key decisions on technology stacks, frameworks, and infrastructure.
• Engineer and implement solutions specifically for SaaS scalability, including microservices, containerization (Docker, Kubernetes), and efficient cloud resource management.
• Establish and champion best practices for code quality, automated testing, and robust CI/CD pipelines.
• Collaborate with product leadership to translate business requirements into concrete technical roadmaps.
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Skills & Qualifications:

• 5+ years of professional experience in full-stack development, with a proven track record of building and launching complex SaaS products.
• Deep expertise in both front-end (React, Angular, Vue.js) and back-end (Node.js, Python, Java, Go) technologies.
• Expert-level knowledge of designing and scaling applications on a major cloud platform (AWS, Azure, or GCP).
• Proven, hands-on experience architecting for scale, including deep knowledge of microservices architecture, message queues, and database scaling strategies (e.g., sharding, replication).
• In-depth understanding of database technologies (both SQL and NoSQL) and how to choose the right one for the job.
• Expertise in implementing and managing CI/CD pipelines and advocating for DevOps principles.
• Strong leadership and communication skills, with the ability to articulate complex technical ideas to both technical and non-technical stakeholders.
• A passion for solving complex problems and a proactive, self-starter attitude.

Skills and requirements

• Experience analyzing complex and varied data in a commercial or academic setting.
• Desire to solve new and complex problems every day.
• Excellent ability to communicate scientific results to both technical and non-technical team members.

Desirable

• A degree in a numerically focused discipline such as, Maths, Physics, Chemistry, Engineering or Biological Sciences..
• Hands on experience on Python, Pyspark, SQL
• Hands on experience on building End to End Data Pipelines.
• Hands on Experience on Azure Data Factory, Azure Data Bricks, Data Lake - added advantage
• Hands on Experience in building data pipelines.
• Experience with Bigdata Tools, Hadoop, Hive, Sqoop, Spark, SparkSQL
• Experience with SQL or NoSQL databases for the purposes of data retrieval and management.
• Experience in data warehousing and business intelligence tools, techniques and technology, as well as experience in diving deep on data analysis or technical issues to come up with effective solutions.
• BS degree in math, statistics, computer science or equivalent technical field.
• Experience in data mining structured and unstructured data (SQL, ETL, data warehouse, Machine Learning etc.) in a business environment with large-scale, complex data sets.
• Proven ability to look at solutions in unconventional ways. Sees opportunities to innovate and can lead the way.
• Willing to learn and work on Data Science, ML, AI.