Senior Data Engineer (AWS / Python / SQL) - #1165256

We are looking for an experienced Senior Data Engineer to design, build, and maintain scalable data platforms that support business intelligence, analytics, and AI initiatives. You will play a key role in developing reliable data pipelines, optimizing data infrastructure, and ensuring high-quality data is readily available for business users and data teams.

Working Hours: Mon-Fri
Working Location: Central
Salary Package: Up to $8,000 (basic) + AWS + VB

Key Responsibilities

• Design, develop, and maintain scalable data pipelines for data ingestion, transformation, and delivery.
• Build and automate ETL/ELT processes to improve efficiency and reliability.
• Optimize data warehouses and data lakes for performance, scalability, and cost efficiency.
• Ensure data quality, security, governance, and compliance with company standards.
• Monitor and troubleshoot data pipelines to ensure high availability and performance.
• Collaborate with data scientists, analysts, software engineers, and business stakeholders to support analytics and AI projects.
• Develop reusable data models and datasets for reporting and business insights.
• Maintain technical documentation and follow data engineering best practices.
• Evaluate and implement new technologies to improve data platforms and engineering processes.

Requirements

• Bachelor's Degree in Computer Science, Information Technology, Information Systems, or a related field.
• At least 6 years of experience in data engineering or related roles.
• Strong programming skills in Python and SQL.
• Experience with ETL/ELT tools and workflow orchestration platforms such as Airflow or similar.
• Hands-on experience with cloud data platforms such as AWS, Databricks, Snowflake, or equivalent.
• Good understanding of data warehousing, data lakes, data modelling, and performance optimization.
• Experience with big data technologies such as Spark or Hadoop is an advantage.
• Knowledge of data governance, security, and compliance best practices.
• Strong analytical, problem-solving, and communication skills.
• Ability to work independently and collaborate effectively in a cross-functional team.

Preferred Qualifications

• Experience supporting analytics, machine learning, or AI projects.
• AWS or other cloud certifications are an advantage.
• Familiarity with CI/CD, Infrastructure as Code, and container technologies is a plus.

If you are passionate about building scalable data solutions and enabling data-driven decision-making, we'd love to hear from you. Apply now with your resume.

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Elane Yap Theng Yu- R1989397

ScienTec Consulting Pte Ltd - 11C5781