Intermediate Data Engineer

1 week ago


Singapore AVATAR TECHNO SERVICES PTE. LTD. Full time

**Responsibbilities**:
1.Data Pipeline Development: Design, implement, and maintain scalable data pipelines for the extraction, transformation, and loading of large datasets.

2.Data Modelling: Develop and optimize data models to support analytical and reporting requirements, ensuring data accuracy and reliability.

3.Data Integration: Integrate diverse data sources and formats to enable seamless data flow across systems.

4.Data Quality Assurance: Implement and monitor data quality checks to ensure the integrity of the data throughout the entire data lifecycle.

5.Collaboration: Work closely with business analysts, colleagues and other stakeholders to understand data requirements and deliver effective solutions.

6.Performance Optimization: Identify and address performance bottlenecks in data processing and storage systems.

7.Documentation: Document data engineering processes, data models, and configurations for knowledge sharing and future reference.

8.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.



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