Job Title: Junior Data EngineerLocation: SingaporeJob Overview:
We are looking for a motivated Junior Data Engineer to join our growing data team. In this role, you will work closely with senior engineers and data scientists to support the development and optimization of data pipelines, databases, and analytical tools. You will play a key role in ensuring that data is accessible, accurate, and efficiently processed for business intelligence and decision-making. The ideal candidate will be eager to learn, detail-oriented, and have a passion for working with data.
Key Responsibilities:
- Assist in the development, maintenance, and optimization of data pipelines that collect, process, and store data from various sources.
- Collaborate with data scientists, analysts, and other team members to understand data requirements and deliver solutions.
- Work with large datasets and ensure data is clean, reliable, and processed efficiently.
- Help design and implement database systems that support data storage, retrieval, and reporting.
- Write and optimize SQL queries to extract and manipulate data for analysis.
- Monitor and troubleshoot data pipeline performance, ensuring high availability and minimal downtime.
- Support the integration of new data sources and ensure smooth data flow across systems.
- Participate in the automation of data processes and workflows to improve efficiency.
- Document data processes, architectures, and workflows to ensure knowledge sharing and consistency within the team.
Requirements:
- Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
- Basic experience with SQL and relational databases (e.g., MySQL, PostgreSQL).
- Familiarity with programming languages like Python, Java, or Scala for data processing.
- Knowledge of data processing frameworks such as Apache Spark or Hadoop is a plus.
- Strong understanding of data modeling, ETL (Extract, Transform, Load) processes, and data pipelines.
- Familiarity with cloud platforms (AWS, Azure, Google Cloud) and data storage solutions (e.g., S3, BigQuery, Redshift) is an advantage.
- Ability to work with version control tools (e.g., Git).
- Strong problem-solving skills and the ability to learn new tools and technologies quickly.
- Good communication skills and the ability to collaborate with cross-functional teams.
- Attention to detail and a commitment to data accuracy and integrity.
Benefits:
- Competitive salary and performance-based incentives.
- Opportunities for career growth and professional development.
- Access to ongoing training and certifications in data engineering and related technologies.
- Health insurance and other employee benefits.
- A collaborative and dynamic work environment with a focus on innovation.
