全职 Data Engineer with kafka 工作, 薪水, Tap Growth Ai 公司招聘中 - Ricebowl

We're Hiring: Data Engineer with Kafka!

We are looking for a skilled Data Engineer with expertise in Kafka to join our dynamic team. The ideal candidate will have at least 4 years of experience in data engineering, strong knowledge of real-time data streaming, and a passion for building robust data pipelines that empower business decisions.

Location: Singapore, Singapore
Work Mode: Work from Office
Role: Data Engineer with Kafka

KEY RESPONSIBILITES (JOB REQUIREMENTS)
1 Data Engineering & Platform Support
2 Design and maintain basic data pipelines and integration processes to support reliable data flow and ensure data availability for analytics.
3 Implement and monitor data validation and cleansing routines to improve data quality and ensure accurate reporting.
4 Support and troubleshoot operational issues in data pipelines and databases to maintain smooth and continuous platform performance.
5 Develop and update dashboards and reports to visualize key metrics and support data-driven decision-making across teams.

1 Collaboration & Business Understanding
2 Collaborate with stakeholders to gather data requirements and ensure solutions align with business needs and objectives.
3 Communicate data insights and findings in a clear and actionable manner to support informed decision-making by non-technical stakeholders.
4 Assist in analyzing structured and unstructured data to identify trends and patterns that contribute to solving business problems.

1 Learning & Continuous Improvement
2 Research and apply suitable machine learning models or statistical techniques under guidance to support business use cases.
• Stay updated on industry trends and tools in data engineering and analytics to enhance technical skills and contribute to team innovation.
• - Recommend and support process improvements to increase data pipeline efficiency and improve data reliability over time.

JOB REQUIREMENTS/JOB QUALIFICATIONS
Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field.
At least 8 years’ working experience in data platform, data analytics or relevant projects.
Proven experience as a Data Engineer, with design and managing enterprise data architecture, including batch and real time processing.
Solid programming skills in languages such as Python, SQL, SAS, or R for data analysis and data engineering tasks.
Prior experience as a Data Engineer, with a demonstrated ability to design and implement data models, ETL processes, and data integration solutions.
Proven experience in at least one major data processing tool (Informatica, Kettle, Talend, Airflow, Dolphin etc.).
Prior experience with cloud-based data platforms (e.g., Azure Data Factory, Azure Purview, Databricks, Snowflake, Kafka, or equivalent) and data storage
technologies (e.g., SQL/NoSQL, Vector and Graph etc.).
Excellent problem-solving skills and the ability to work with large, complex data sets.
Strong attention to detail, ensuring data accuracy and reliability in all analyses.
Effective communication skills to convey complex technical concepts to non-
technical stakeholders.
Proven ability to work independently as well as collaboratively in a fast-paced, team-oriented environment.
Prior experience of AI technology stack is a great plus.
Prior experience in at least one BI tool (Power BI, Tableau, etc.).
Related industry experience is a plus.

CORE COMPETENCY
1. Data Analytics
2. Design thinking
3. Business Needs Analysis
4. Data Engineering
5. Data Quality Assurance
6. Data Security & Compliance