Intermediate Data Engineer

4 days ago

Singapore NodeFlair Full time

**Job Summary**:
**Salary**
S$5,000 - S$6,000 / Monthly

**Job Type**

**Seniority**

Mid

**Years of Experience**
At least 5 years

**Tech Stacks**
AWS play CI Flow Hive Spark Bitbucket SQL Python

**Responsibilities**:

- **Data Pipeline Development**: Design, implement, and maintain scalable data pipelines for the extraction, transformation, and loading of large datasets.
- **Data Modelling**:Develop and optimize data models to support analytical and reporting requirements, ensuring data accuracy and reliability.
- **Data Integration**: Integrate diverse data sources and formats to enable seamless data flow across systems.
- **Data Quality Assurance**: Implement and monitor data quality checks to ensure the integrity of the data throughout the entire data lifecycle.
- **Collaboration**: Work closely with business analysts, colleagues and other stakeholders to understand data requirements and deliver effective solutions.
- **Performance Optimization**: Identify and address performance bottlenecks in data processing and storage systems.
- **Documentation**: Document data engineering processes, data models, and configurations for knowledge sharing and future reference.
- **Adherence to Best Practices**: Stay current with industry trends and best practices in data engineering within company and ensure the adoption of these practices within the team.

**Requirements**:

- Bachelor's degree in Computer Science, Information Technology, or a related field.
- Minimum of 5 years of proven experience as a Data Engineer or similar role.
- Strong proficiency in programming languages such as Spark SQL and Python in a HIVE environment.
- Familiarity with cloud platforms such as AWS and Big Data infrastructure, Jira, Bitbucket, etc.
- Experience in CI/CD pipeline and working in an Agile environment.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills.
- Knowledge of data warehousing concepts and technologies.
- Ability to communicate effectively with multiple levels of management and summarize complex technical requests succinctly.

**_Note: Proficiency in Spark SQL is mandatory. Experience with Avaloq data is preferred_

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