
Data Engineer
2 weeks ago
Job Summary
We are seeking a skilled and experienced Data Engineer to work in data engineering, analytics and data management in a well established company.
Mandatory Skill-set
- Degree in Information Technology, Computer Engineering, and/or Computer Science;
- Minimum 2 years of experience in data engineering and data management;
- Hands on technical experience in SQL Server Integration Services (SSIS);
- Has experience in data engineering and data visualization;
- Strong experience in gathering business requirements and translating into technical specification;
- Strong analytical skills with high curiosity to deep dive into root cause of problems and suggest solutions;
- Has good stakeholders management experience;
- Attention to technical details;
- Ability to deliver tasks on time with high quality outcome;
- Strong written and spoken communication skills.
Desired Skill-set
- Prior experience in Python, R or Machine Learning tools.
Responsibilities
- Designing, developing, and maintaining ETL pipelines using SSIS;
- Extracting data from various sources (databases, flat files, APIs, cloud sources);
- Transforming and cleaning data to ensure consistency and accuracy;
- Loading data into target systems such as data warehouses or reporting databases;
- Optimizing ETL performance and troubleshooting data flow issues;
- Supporting data migration and business intelligence/reporting needs (often with Power BI, SSRS, or Azure Data Services).
Should you be interested in this career opportunity, please send in your updated resume to apply@sciente.com at the earliest.
When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE's website (https://www.sciente.com/privacy-policy).
Confidentiality is assured, and only shortlisted candidates will be notified for interviews.
EA Licence No. 07C5639
Tell employers what skills you havePipelines
Data Management
ETL
Data Engineering
Data Migration
SQL Server
SSIS
Power BI
Data Visualization
Business Requirements
SSRS
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