Data Engineer

• Company Senestia
• No. of Openings 10+
• Salary Not Disclosed
• Work Type on-site

Job Description :

Responsibilities:

• Help to build culture and cultivate innovation in Senestia.
• Analyze and organize raw data.
• Build scalable data systems and pipelines.
• Assemble large and complex datasets that meet functional / non-functional business requirements.
• Prepare data for prescriptive and predictive modeling.
• Explore ways to enhance data quality and reliability.
• Identify opportunities for data acquisition.
• Develop analytical tools and programs.
• Provide technical support and performance tuning on the developed system, such as infrastructure health check, installation and configuration, problem diagnosis and solving, pipeline performance tuning.
• Develop a data visualization platform.
   

Qualifications:

• Bachelor's Degree or higher in Mathematics, Computer Science, Engineering, Information Technology, Statistics or relevant field.
• Proven experience as a data engineer, software developer, or similar.
• Strong knowledge of and experience with database management systems (SQL, MongoDB, or other DBMS) and programming (Python, JavaScript).
• Knowledge of statistics and experience using statistical programming packages for analyzing datasets (Pandas, Numpy, etc).
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Ability to evaluate advantages and disadvantages on the existing tools and provide software solution recommendations based on functional and non-functional requirements of each project.
• Knowledge and experience on distributed computing, cloud security, and cloud computing platforms is a plus.
   

Benefit:

• Social security
• Performance reviews 2 times/ year
• Unlimited leave
• Free snacks
• Work operation is hybrid (wfh 3 days, onsite 2 days).