Job title: Senior Data Engineer (Python/ AWS)

Job Description

We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and cloud-based data platforms. You will work closely with data analysts, data scientists, and software engineers to develop reliable data solutions that support analytics, reporting, and business intelligence initiatives.

  • Salary Package: Up to $9,000 (Basic, commensurate with experience) + AWS
  • Working Hours: Mon-Fri
  • Working Location: Central

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines using Python and cloud-native technologies.
  • Build and optimize ETL/ELT workflows to ingest, transform, and process structured and unstructured data.
  • Develop and manage data lakes, data warehouses, and data integration solutions on AWS.
  • Ensure data quality, integrity, security, and governance across data platforms.
  • Optimize data processing performance and troubleshoot pipeline issues.
  • Collaborate with cross-functional teams to understand business and technical data requirements.
  • Implement data validation, monitoring, and automated testing for data pipelines.
  • Support batch and real-time data processing solutions.
  • Document data architecture, workflows, and technical specifications.
  • Continuously improve data engineering practices and adopt industry best practices.

Requirements

  • Bachelor's Degree in Computer Science, Information Technology, Data Engineering, or a related discipline.
  • Minimum 5 years of experience in Data Engineering or related roles.
  • Strong programming experience in Python.
  • Hands-on experience with AWS services such as S3, Lambda, Glue, EMR, Redshift, Athena, ECS/EKS, or Step Functions.
  • Strong knowledge of SQL and relational databases.
  • Experience building ETL/ELT pipelines and data integration solutions.
  • Familiarity with data warehouse and data lake architectures.
  • Experience with Git and CI/CD practices.
  • Strong analytical, problem-solving, and communication skills.

Preferred Skills

  • Apache Spark, PySpark, or Databricks
  • Apache Airflow or similar workflow orchestration tools
  • Docker and Kubernetes
  • Terraform or Infrastructure as Code
  • Kafka or event-driven data streaming
  • Snowflake, Redshift, PostgreSQL, or other modern data platforms
  • Agile/Scrum development methodology

What's Offered

  • Opportunity to work on large-scale cloud and data transformation projects.
  • Exposure to modern AWS cloud technologies and data engineering best practices.
  • Collaborative and fast-paced Agile environment.
  • Career growth and continuous learning opportunities.

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Elane YapTheng Yu- R1989397

ScienTecConsulting Pte Ltd - 11C5781

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