Data Engineer Spark

5 days ago


Singapore NodeFlair Full time

**Job Summary**:
**Salary**
S$7,500 - S$9,500 / Monthly

**Job Type**

**Seniority**

Mid

**Years of Experience**
At least 5 years

**Tech Stacks**
ETL Informatica Analytics SAP pySpark Cloudera Hive Impala Linux SQL Python

**Job Summary**:

- a minimum of 4 years of experience managing data engineering jobs in big data environment e.g., Cloudera Data
- Platform. Overall experience can be 5 to 10 years. Consultant/ Senior Consultant preferably. The successful

**Key Responsibilities**:

- Analyze the Authority’s data needs and document the requirements.
- Refine data collection/consumption by migrating data collection to more efficient channels.
- Plan, design and implement data engineering jobs and reporting solutions to meet the analytical needs.
- Develop test plan and scripts for system testing, support user acceptance testing.
- Work with the Authority’s technical teams to ensure smooth deployment and adoption of new solution.
- Ensure the smooth operations and service level of IT solutions.
- Support production issues - Track record in implementing systems with high availability, high performance,

high security.

**What we are looking for**:

- Good understanding and completion of projects using waterfall/Agile methodology.
- Good understanding of analytics and data warehouse implementations.
- Strong SQL, data modelling and data analysis skills are a must.
- Hands-on experience in big data engineering jobs using Python, PySpark, Linux, and ETL tools like Informatica.
- Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.
- Hands-on experience in DevOps deployment and data virtualization tools like Denodo will be preferred.
- Understanding/ Hands on experience of reporting or visualization tool like SAP BO and Tableau will be beneficial but not required.
- Passion for automation, standardization, and best practices
- Good written and verbal communication and interpersonal skills, ability to understand the business

requirement, communicate confidently with stakeholders.


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