Data Engineer advanced

2 days ago

Singapore Rapsys Technologies Full time

The Data Analyst/Engineer will define the enterprise metrics and deliver the capture of correct data in the automation and data analytics initiatives.

The Data Analyst/Engineer is responsible to identify data sources, analyse existing data and ensure capture of new data by collaborating with multiple stakeholders and deliver successful implementation of the respective initiative. Responsibilities

1. Build and maintain data queries and data pipelines using tools such as SQL

2. Build and maintain ETL/ELT job.

3. Build complex robot to read, validate and analyse data.

4. Build sophisticated dashboards and automated reports for core business metrics and performance trends using visualization tools

5. Implement data quality checks and monitoring to ensure the accuracy, completeness, and consistency of data
- 6. Conduct data mapping based on business requirements by leveraging on tools 7. Working with highly collaborative teams and to build quality solutions. 8. Develop user guides and technical documentation Requirements

1. Bachelor’s degree in Computer Science, Mathematics or Statistics, a related technical field or combination of equivalent practical experience and education.

2. Minimum 5+ years’ experience data mining/ingestion from various sources as a data engineer.

3. Strong programming experience with frameworks including Python or Java and ETL/ELT is essential

4. Proven skills on any Data visualization tool are essential.

5. Data pipeline, relational database development, SQL query, any database procedure and function development.

6. Prior experience with database and model design and segmentation techniques.

7. Proven analytic skills, including mining, evaluation, analysis, and visualization. 8. Technical writing experience in relevant areas, including queries, reports, and presentations.

9. Independent fast learner with keen sense in automation tools and programming languages.

10. Possess good problem-solving skill and can adapt to changes in business requirements.

11. Effectively prioritise and execute tasks in a high-pressure, fast paced, global environment.

12. Strong organisational skills to manage assignments effectively and working within tight deadlines.

13. Strong communications skills to collaborate with developers, QA, project managers and other stakeholders.

14. Good to have experience working in Agile teams using JIRA tool.

15. Able to work independently and as part of a team.

16. Willing to learn new skills, existing and emerging technologies

Advantage

1. Experience with advanced Python libraries and packages such as NumPy, Pandas, and SciPy

2. Experience with data visualization tools such as Tableau or Kibana.

3. Familiarity with big data technologies such as Hadoop, Sqoop, or Hive

**Experience**:

- Big data: 5 years (preferred)

Work Location: In person

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