Data Engineer (AWS/ Python)

We are looking for an experienced

Data Engineer

to design, develop and maintain scalable data solutions and pipelines. You will work with

Oracle, Python and AWS

technologies to support data integration, transformation and processing across enterprise systems.

Working Location: Central

Working Hours: Mon-Fri

Salary Package: Up to $6500 (basic) + AWS + VB (2-3 months)

Roles & Responsibilities

Design, develop and maintain robust

ETL/ELT data pipelines

for structured and unstructured data.

Develop data processing and automation solutions using

Python .

Work extensively with

Oracle databases , including SQL/PL/SQL development, query optimization and performance tuning.

Build and maintain cloud-based data solutions and pipelines on

AWS .

Integrate data from multiple applications, databases, APIs and external sources.

Design and optimize data models, database structures and data transformation processes.

Implement data validation, quality checks, monitoring and error-handling mechanisms.

Troubleshoot data pipeline, database and production issues and perform root cause analysis.

Support batch processing, data migration and large-volume data processing activities.

Collaborate with application, infrastructure, analytics and business teams to understand data requirements and deliver appropriate solutions.

Ensure data solutions comply with security, governance and operational requirements.

Maintain technical documentation covering data pipelines, architecture, data mappings and operational procedures.

Requirements

Degree in

Computer Science, Information Technology, Engineering

or a related discipline.

Relevant experience in

Data Engineering, Data Development or Database Engineering .

Strong hands-on programming experience with

Python .

Strong experience with

Oracle Database, SQL and PL/SQL .

Experience designing and developing

ETL/ELT pipelines

and data integration solutions.

Hands-on experience with

AWS cloud services

for data processing, storage and/or database workloads.

Good understanding of

data modelling, database design and performance optimization .

Experience with data quality, monitoring and production troubleshooting.

Familiarity with

Git, CI/CD, Linux and REST APIs

would be advantageous.

Experience with AWS services such as

S3, Lambda, Glue, RDS, Redshift, EMR or Athena

would be an added advantage.

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Elane Yap Theng Yu- R1989397

ScienTec Consulting Pte Ltd - 11C5781

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