Data Engineer
6 days ago
**Key Responsibilities**:
- Develop and maintain robust data pipelines using Apache Spark to process large datasets efficiently.
- Utilize SQL for data querying, manipulation, and management across various relational database systems.
- Collaborate with data scientists and analytics teams to understand data requirements and deliver suitable solutions.
- Implement data transformation and aggregation processes to optimize data for analysis.
- Monitor and troubleshoot data pipelines, ensuring high availability and reliability.
- Perform data quality checks and maintain data integrity throughout the data lifecycle.
- Stay updated on industry trends and best practices in data engineering, particularly in Spark and SQL technologies.
**Requirements**:
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- Experience as a Data Engineer, with a focus on Spark and SQL.
- Good to have experience in Banking/Finance domain.
- Proficiency in Spark for distributed data processing and ability to write efficient Spark jobs.
- Strong SQL skills, with experience working with relational databases (e.g., MySQL, PostgreSQL, Oracle).
- Experience with data integration, ETL processes, and data warehousing concepts.
- Knowledge of big data technologies and frameworks is a plus.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork capabilities.
**Benefits**
- Salary: SGD 6000 - 8000
- Great Work Culture
- Includes Standard Annual and Sick Leave
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