PythonResponsibilities:
• Develop, and maintain SQL and NoSQL databases, ensuring high performance, scalability, and
reliability.
• Collaborate with the API team and Data Science team to build robust data pipelines and
automations.
• Work closely with stakeholders to understand database requirements and provide technical
solutions.
• Optimize database queries and performance tuning to enhance overall system efficiency.
• Implement and maintain data security measures, including access controls and encryption.
• Monitor database systems and troubleshoot issues proactively to ensure uninterrupted
service.
• Develop and enforce data quality standards and processes to maintain data integrity.
• Create and maintain documentation for database architecture, processes, and procedures.
• Stay updated with the latest database technologies and best practices to drive continuous
improvement.
• Expertise in SQL queries and stored procedures, with the ability to optimize and fine-tune
complex queries for performance and efficiency.
• Experience with monitoring and visualization tools such as Grafana to monitor database
performance and health
Requirements:
• Bachelor’s degree in Computer Science, Engineering, or equivalent experience
• 2+ years of experience in data engineering, with a focus on large-scale data systems.
• Proven experience designing data models and access patterns across SQL and NoSQL
ecosystems.
• Hands-on experience with technologies like SQL, DynamoDB, S3, and Lambda services.
• Proficient in SQL stored procedures with extensive expertise in MySQL schema design, query
optimization, and resolvers, along with hands-on experience in building and maintaining data
warehouses.
• Strong programming skills in Python or JavaScript, with the ability to write efficient,
maintainable code.
• Familiarity with observability stacks (Prometheus, Grafana, Open Telemetry) and debugging
production bottlenecks.
• Understanding cloud infrastructure (preferably AWS), including networking, IAM, and cost
optimization.
• Excellent communication and collaboration skills to influence cross-functional technical
decisions.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Albert Invent
About
Albert Invent is a cutting-edge R&D software company that’s built by scientists, for scientists. Their cloud-based platform unifies lab data, digitises workflows and uses AI/ML to help materials and chemical R&D teams invent faster and smarter. With thousands of researchers in 30+ countries already using the platform, Albert Invent is helping transform how chemistry-led companies go from idea to product.
What sets them apart: built specifically for chemistry and materials science (not generic SaaS), with deep integrations (ELN, LIMS, AI/ML) and enterprise-grade security and compliance.
Tech stack
NodeJS (Node.js)
Javascript
Flutter
Amazon Web Services (AWS)Candid answers by the company
Their platform brings together electronic lab notebook (ELN) functionality, laboratory information management systems (LIMS), inventory tracking, AI/ML for molecular and formulation predictions, and process automation — all in one end-to-end solution.
Company social profiles
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon