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Data Engineer

2 weeks ago


Singapore InfoCepts Full time

GovTech Singapore has awarded InfoCepts the provision of Data Science software and services for Government Ministries/Departments, statutory boards, organs of the state and participating entities.

**About InfoCepts**

**What is a Data Engineer?**

The role of a data engineer can be defined as someone who has the knowledge and skills to design and build systems for collecting, storing and analyzing data at scale.

**Roles and Responsibilities**:

- Monitor cluster connectivity and performance
- Manage and review the Hadoop Distributed File System, YARN configuration files and log files
- Embark on backup and recovery related tasks
- Handle resource and security management matters
- Drive test execution and such reporting to all relevant stakeholders while documenting test cases and test results
- Strictly adhere to define Defect Management Processes
- Investigate and resolve all related technical issues through conducting detailed analyses
- Provide root cause analyses for all technical issues as necessary
- Render support in terms of software tool management coordination, e.g. patches and version evaluation with product vendors

**Skills Required**:

- Tertiary education in Software Engineering, Computer Science and/or related fields
- 3 to 5 years of ETL development experience
- Relevant experience with Cloudera platform - Cloudera DataFlow (Ambari)
- Knowledge of other data ingestion tools such as Azure DataBricks will be a plus
- Strong understanding of distributed querying, performance tuning, horizontal scaling and data partitioning concepts
- Knowledge of programming languages like SQL, Oracle, R, MATLAB, and Python
- Accuracy and attention to detail, with the ability to perform data analysis and report acute observations
- Adept at queries, writing reports, and making presentations
- Team-working skills
- Verbal and written communication skills

**Job Types**: Full-time, Permanent

**Salary**: $5,000.00 - $7,000.00 per month

**Benefits**:

- Health insurance
- Professional development

Schedule:

- Monday to Friday

**Experience**:

- Cloudera DataFlow: 1 year (preferred)
- Apache Ambari: 1 year (preferred)
- ETL: 1 year (preferred)