Data Engineer: Scalable Data Solutions
2 days ago
RAPSYS TECHNOLOGIES PTE. LTD. is seeking a skilled Senior Data Engineer to join our team. This role offers an estimated salary of SGD 120,000 - 180,000 per annum.
Job DescriptionWe are looking for a highly experienced Senior Data Engineer with 5-10 years of hands-on experience in designing, implementing, and optimizing complex data workflows using Apache Airflow, Apache NiFi, Kafka, PySpark, Spark Scala, and other key technologies.
- Data Pipeline Design & Management: The successful candidate will design, build, and maintain scalable and reliable data pipelines to support both real-time and batch processing requirements.
- Workflow Optimization & Monitoring: He/She will manage, monitor, and optimize workflows in Apache Airflow to ensure data quality, integrity, and system performance.
- Data Integration: The ideal candidate will develop and integrate data flows using Apache NiFi to ensure seamless data ingestion and transformation processes.
- Real-Time Data Streaming: Extensive experience with Apache Kafka for data streaming and messaging across various data sources is required.
- Data Processing Solutions: The chosen candidate will implement data processing solutions using PySpark and Spark Scala to handle large-scale datasets and complex transformations.
- Automation & Scripting: Efficient coding skills in Python and Java are necessary to automate data workflows and support data engineering needs, utilizing shell scripting for operational tasks.
- Cross-functional Collaboration: Strong analytical, problem-solving, and communication skills are essential to collaborate with cross-functional teams to understand data requirements and provide optimized engineering solutions.
- Data Security & Compliance: Ensuring data security, compliance, and performance by following best practices in big data and distributed systems is crucial.
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