Hybrid
Full Time
AWS Services, Cloud analytics, Data Integration, Data lake, ETL, Data Modelling, Python, Redshift
AWS Data Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you.
At the intersection of science and technology, Clovertex is a Life Sciences systems integrator specializing in architecting, building, automating, and managing scientific applications, databases, data lakes, and workflows using cloud computing technologies.
Clovertex is an AWS Advanced Tier Partner. Our team has deep scientific domain experience and specializes in providing both IT and science-related services.
To know more about us: CLOVERTEX.COM
Job Role: AWS Data Engineer
Location: Hyderabad (Hybrid)
Experience Required: 3 4 years
Job Type: Full-Time
We are seeking an enthusiastic AWS Data Engineer to support the design, development, and maintenance of cloud- based data lakes, data warehouses, and analytics platforms. The ideal candidate is eager to learn, collaborates effectively with cross-functional teams, and possesses a solid foundation in AWS data services, ETL development, and data modeling.
Competitive salary and benefits package.
Reimbursement for AWS certifications and upskilling.
Opportunity to work on cutting-edge technologies in biotech and life sciences domains.
Hybrid work model to ensure work-life balance.
Health insurance for employees and their dependents.
Clovertex is an equal opportunity employer and values diversity in the workplace. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
We are committed to creating a positive and inclusive work environment for all employees.
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Clovertex specializes in building and migrating scientific research high-performance computing (HPC) and data platforms that leverage AWS container and non-container based technologies. We have successful migration patterns for commonly used research applications such as: Single Cell Sequencing, GROMACS, NAMD, ANSYS, RELION, cryo-EM, cryoSPARC, NONMEM, and more. Our unique methodology provides the optimal price and performance from either an all-cloud or a cloud/hybrid system. In addition to HPC, we offer services for managing large scale big data platforms, data lakes, and AI/ML frameworks.
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