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. Bysubmitting your resume, you consent to the collection, use, and disclosure ofyour personal information per ScienTec's Privacy Policy(scientecconsulting.com/privacy-policy). This authorizes us to: Contact you about potential opportunities. Delete personal data as it is not required at this application stage. All applications will be processed with strict confidence. Only shortlisted candidates will be contacted. Elane YapTheng Yu- R1989397 ScienTecConsulting Pte Ltd - 11C5781