
To design, build, and optimize scalable data infrastructure and pipelines that enable efficient
data collection, transformation, and analysis across the organization. The Senior Data Engineer
will play a key role in driving data architecture decisions, ensuring data quality and availability,
and empowering analytics, product, and engineering teams with reliable, well-structured data to
support business growth and strategic decision-making.
Responsibilities:
• 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:
• 4+ 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 PostgreSQL, DynamoDB, S3, GraphQL, or
vector databases.
• 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 distributed systems, data partitioning, and consistency models.
• Familiarity with observability stacks (Prometheus, Grafana, OpenTelemetry) and
debugging production bottlenecks.
• Deep understanding of cloud infrastructure (preferably AWS), including networking, IAM,
and cost optimization.
• Prior experience building multi-tenant systems with strict performance and isolation
guarantees.
• Excellent communication and collaboration skills to influence cross-functional technical
decisions.

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
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.
Connect with the team
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● Familiarity with google workspace, including docs, sheets, gmail
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- Manage the end-to-end tender submission process, ensuring all necessary documentation is prepared and submitted accurately and on time.
- Review tender requirements and documentation to understand the scope of work, technical specifications, and evaluation criteria.
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Data Validation
Sales coordination with internal and external departments
Should have Excellent communication, sales, and customer service skills.
Hiring and training interns and ensuring staff meets their quotas and goals
Helping the sales team improve their productivity by contacting customers to arrange appointments and ensuring
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Strong knowledge and experience in
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Javascript/Typescript
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VueJs Framework.
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State Management libraries like Vuex/ Pinia
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Styling Languages like SASS/SCSS.
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HTML5 / JQuery/ Bootstrap
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WebSockets
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PWA
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Knowledge in Ajax and REST APIs.
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Full understanding of the DOM and intricacies of client-side performance and browser compatibilities.
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Experience with performance optimization approaches (caching, CDN,etc.).
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A strong grounding in Frontend UI/UX Designing.
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Strong understanding of front-end optimization and debugging techniques
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An appreciation for data quality and consistency
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Experience working with git
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Experience working in Quasar Framework.
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Knowledge of Backend Technologies like Python, Django, SQL, Nginx.
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A keen eye for detail, striving for perfection
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Demonstrated strong analytical and problem-solving skills
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Self-starter who is able to take ownership of projects
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Design and build Frontend for SaaS application using Vue JS , Quasar Framework.
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Build reusable components and web pages and Integrate it with backend using Rest APIs .
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Uphold our high engineering standards and bring consistency to our product development.
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Javascript/TypeScript
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VueJS
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State menagement Vuex/Pinia/NgRx/Redux
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Any Frontend Libraries like VueJS/ReactJs / Angular
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Git
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Ajax/Axios
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UI/UX
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CSS/SASS/SCSS
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Have you worked on any Backend Technologies ? Please describe.
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Have you worked previously on Quasar Framework ?















