Full-Time AWS Data Engineer Needed
Budget: $8 – $15 AUD
Hi AWS Data Engineers,
I am looking for AWS Data Engineer for a full time role which is Monday to Friday, 9 AM till 5 PM Sydney, Australia time.
The job responsibilities will be:
Data Architecture and Design:
Design and implement scalable and efficient data pipelines for processing and analyzing large volumes of structured and unstructured data.
Collaborate with cross-functional teams to understand data requirements and contribute to the development of robust data architectures.
AWS Cloud Expertise:
Leverage AWS services such as S3, Glue, Redshift, EMR, Lambda, and others to architect and implement end-to-end data solutions.
Ensure optimal performance, security, and reliability of data infrastructure on the AWS cloud platform.
Data Modeling and ETL:
Develop and maintain data models for efficient storage and retrieval of information.
Implement Extract, Transform, Load (ETL) processes to integrate data from various sources into the data warehouse.
Code Development:
Write efficient, modular, and maintainable code in languages such as Python, SQL, and others to support data processing and transformation.
Quality Assurance:
Implement data quality checks and validation processes to ensure the accuracy and completeness of data.
Collaboration and Documentation:
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
Maintain clear and comprehensive documentation of data engineering processes and workflows.
Performance Optimization:
Identify and implement strategies for optimizing data processing and improving overall system performance.
...and Continuous Optimisation of the Data Engineering process and pipeline.
Please bid your hour rate. Please also tell me if you have done projects and certifications related to Data Engineering as well when you bid.
I am looking for AWS Data Engineer for a full time role which is Monday to Friday, 9 AM till 5 PM Sydney, Australia time.
The job responsibilities will be:
Data Architecture and Design:
Design and implement scalable and efficient data pipelines for processing and analyzing large volumes of structured and unstructured data.
Collaborate with cross-functional teams to understand data requirements and contribute to the development of robust data architectures.
AWS Cloud Expertise:
Leverage AWS services such as S3, Glue, Redshift, EMR, Lambda, and others to architect and implement end-to-end data solutions.
Ensure optimal performance, security, and reliability of data infrastructure on the AWS cloud platform.
Data Modeling and ETL:
Develop and maintain data models for efficient storage and retrieval of information.
Implement Extract, Transform, Load (ETL) processes to integrate data from various sources into the data warehouse.
Code Development:
Write efficient, modular, and maintainable code in languages such as Python, SQL, and others to support data processing and transformation.
Quality Assurance:
Implement data quality checks and validation processes to ensure the accuracy and completeness of data.
Collaboration and Documentation:
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
Maintain clear and comprehensive documentation of data engineering processes and workflows.
Performance Optimization:
Identify and implement strategies for optimizing data processing and improving overall system performance.
...and Continuous Optimisation of the Data Engineering process and pipeline.
Please bid your hour rate. Please also tell me if you have done projects and certifications related to Data Engineering as well when you bid.
Related categories:
Data Processing
Amazon Web Services
Data Warehousing
Data Architecture
ETL
Data Modeling
Data Engineer