Data Engineer

Salary Range: IDR  -  (Gross)

Work Mode:
Hybrid

Weshine is hiring for our client (Handshakes AI), based in Singapore, for a role based in Indonesia. Handshakes is an award-winning Data Tech company. Enabling our clients to make safer, more informed decisions by delivering meaningful insights, harnessed from reliable data.

We are looking for a Data Engineer to join our Data & AI Engineering team. In this role, you will be responsible for developing, maintaining, and supporting data ingestion and processing pipelines for large-scale news and company data. You will work closely with Product Managers, Solution Architects, AI Engineers, and other stakeholders to deliver reliable data solutions that support business and product requirements.

• Develop, maintain, and enhance ETL and data processing pipelines.
• Support and monitor production data pipelines to ensure data quality, reliability, and operational stability.
• Develop and optimize data workflows for ingesting, transforming, and storing structured and unstructured data.
• Troubleshoot and resolve data pipeline, database, and infrastructure-related issues.
• Work with stakeholders to understand business and product requirements and translate them into technical solutions.
• Manage and optimize data storage solutions across relational and No
  
  SQL databases.
• Collaborate with cross-functional teams to support any product enhancements and operational improvements.
• Participate in code reviews, testing, deployment, and documentation activities.

• Diploma or Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or a related field.
• 2–5 years of experience in Data Engineering or a related role.
• Strong SQL skills and experience writing complex queries for data processing and analysis.
• Hands‑on experience designing and maintaining ETL/data pipelines.
• Experience with Apache Spark for large-scale data processing.
• Experience working with relational databases such as Microsoft SQL Server or MySQL.
• Experience working with No
  
  SQL databases such as Azure Cosmos DB or MongoDB.
• Experience working with cloud platforms and cloud-based services, preferably Microsoft Azure. Familiarity with Azure services such as Cosmos DB, Service Bus, Blob Storage, Function Apps, and Virtual Machines is an advantage.
• Strong problem‑solving skills and the ability to troubleshoot production issues.