Data Engineer (Cloud)

TL;DR

Data Engineer (Cloud): Designing and deploying scalable data platforms and pipelines to transform raw data into actionable business insights with an accent on ETL processes, data warehousing, and cloud infrastructure. Focus on building production-grade data pipelines, integrating data silos, and developing backend APIs to support data-driven products.

Location: Singapore

Company

hirify.global is a leader in mission-critical technology systems, providing AI-powered insights and infrastructure services for global businesses.

What you will do

• Design and deploy data tables, views, and marts across data warehouses, lakes, and virtualization platforms.
• Build and maintain large-scale batch and real-time data pipelines using various processing frameworks.
• Perform data extraction (including web scraping), cleaning, and transformation to ensure data accuracy.
• Integrate fragmented data silos into scalable and compliant architectures.
• Develop backend APIs and manage databases to support data-driven applications.
• Collaborate with cross-functional teams including Architects, Analysts, and Developers in an Agile environment.

Requirements

• Proficiency in SQL, pandas, and R for data cleaning and transformation.
• Experience building ETL pipelines using Python, AWS (Lambda, Glue, DMS), or Spring.
• Strong knowledge of database design and various databases such as PostgreSQL, MongoDB, Cassandra, and MySQL.
• Experience with Databricks and Microsoft Data Fabric.
• Proficiency in cloud platforms: AWS, Azure, or Google Cloud (GCP).
• Familiarity with Big Data frameworks like Spark, Kafka, and Hadoop.

Nice to have

• Experience with web scraping tools such as BeautifulSoup, Selenium, or Node.js.
• Knowledge of data governance, access control, and security best practices.
• Comfortability with both Windows and Linux development environments.

Culture & Benefits

• Hybrid-friendly work culture promoting well-being and flexibility.
• Comprehensive Be Well programs for financial, mental, physical, and social health.
• Access to professional certifications from Microsoft, Google, and Amazon.
• Strong emphasis on inclusivity, belonging, and empathy.
• Personalized development goals and continuous feedback loops.