Deskripsi Pekerjaan
Are you a passionate Data Engineer looking to make a significant impact within a dynamic enterprise environment? Mindteck is seeking a skilled Data Engineer to join our team in Singapore. In this role, you will be the backbone of our data operations, tasked with architecting, constructing, and optimizing the robust data infrastructure that fuels our advanced analytics, business applications, and enterprise-wide data initiatives.
As a key member of our technical team, you will collaborate with cross-functional groups to translate complex business requirements into scalable data solutions. You will be responsible for ensuring data integrity, improving pipeline performance, and implementing best practices in data governance. If you are a problem-solver with a strong background in data engineering and a desire to work on high-impact projects, we invite you to apply.
Tanggung Jawab
- Design, develop, and maintain scalable data pipelines and ETL processes to ingest data from diverse sources.
- Architect and optimize data warehouse solutions to support enterprise analytics and reporting requirements.
- Monitor and troubleshoot data infrastructure, ensuring high availability, performance, and data quality.
- Collaborate with Data Scientists and Analysts to support model deployment and data-driven business insights.
- Implement automated testing, logging, and monitoring to maintain the reliability of data production environments.
- Collaborate on cloud infrastructure management to ensure cost-effective and secure data storage solutions.
- Define and enforce data governance standards to ensure security and compliance across the organization.
Kualifikasi
- Bachelor’s degree in Computer Science, Data Engineering, Information Technology, or a related field.
- 3+ years of professional experience in data engineering, backend development, or data warehousing.
- Proficiency in programming languages such as Python, Scala, or Java.
- Extensive experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Snowflake, Redshift).
- Strong knowledge of big data technologies (e.g., Apache Spark, Kafka, Airflow).
- Experience working within Cloud environments (AWS, Azure, or GCP).
- Strong analytical mindset with excellent communication skills to collaborate with technical and non-technical stakeholders.