[Remote 2nd]_Senior Data Engineer

Job description for [Remote 2nd]_Senior Data Engineer at Công ty TNHH Diksha Technologies

Job Description

We are looking for a strong and experienced Senior Data Engineer to join a project for our Singapore-based client. The ideal candidate should have solid hands-on experience in designing, developing, and maintaining scalable data platforms and data pipelines.

The candidate will work closely with Singapore-based stakeholders and technical teams, so fluent English communication skills are required.

Responsibilities

• Design, develop, and maintain scalable and reliable data pipelines and ETL/ELT processes.
• Develop and optimize complex SQL queries and data transformation processes.
• Build and maintain data warehouse and data lake solutions.
• Perform data modeling, data integration, and data quality management.
• Monitor and troubleshoot data pipelines, jobs, and production issues.
• Analyze performance issues and provide effective technical solutions.
• Work closely with Business Analysts, Data Scientists, Software Engineers, and business stakeholders to understand data requirements.
• Participate in system design, technical discussions, code reviews, and architecture decisions.
• Ensure data solutions meet requirements for performance, scalability, reliability, and security.
• Provide technical guidance and mentoring to junior engineers when required.
• Communicate directly with Singapore-based clients and stakeholders in English.

Requirements

• 7+ years of experience in Data Engineering or a related field.
• Strong hands-on experience with SQL and relational databases.
• Strong experience in Python or another programming language commonly used for data engineering.
• Solid experience with ETL/ELT, data pipelines, data integration, and data transformation.
• Good understanding of Data Warehouse, Data Lake, and Data Modeling concepts.
• Hands-on experience with at least one major cloud platform: AWS, Azure, or GCP.

Experience with modern data technologies such as Apache Spark, Databricks, Airflow, Kafka, Snowflake, Redshift, BigQuery, or similar technologies is a strong advantage.

• Strong troubleshooting and problem-solving skills.
• Ability to work independently and take ownership of assigned tasks.
• Experience working with international clients or distributed teams is preferred.
• Fluent English communication skills, both written and verbal.
• Preferred Skills
• Experience with cloud-based data platforms.
• Experience in building large-scale data processing pipelines.
• Experience with CI/CD and DevOps practices.
• Knowledge of data governance, data security, and data quality.
• Experience in Agile/Scrum environments.