Freelance Opportunity Senior Data Engineer
Summary
Freelance Senior Data Engineer designing scalable AWS data pipelines, ETL processes, and data warehouses using AWS Glue, Snowflake, Python/PySpark, and Terraform.
We are looking for an experienced Senior Data Engineer with strong expertise in AWS, data engineering, ETL, and cloud data platforms to join our team on a freelance basis.
Job Overview
Must-Have Skills
- AWS Glue
- PostgreSQL
- Terraform
- Python / PySpark
- Amazon EKS
- Amazon DynamoDB
- AWS AI Services
- Snowflake
- ETL & Data Warehousing
🛠️ Key Responsibilities
- Design and develop scalable data pipelines using AWS and other cloud platforms.
- Build and optimize ETL processes and data workflows.
- Develop high-quality datasets for analytics and business intelligence.
- Work with Snowflake and big data technologies for efficient data storage and retrieval.
- Collaborate with data scientists and analysts on data requirements.
- Ensure data quality, integrity, and reliability throughout the data lifecycle.
- Support data visualization initiatives using Power BI and Tableau.
- Document data architectures, processes, and workflows.
- Stay current with emerging data engineering and cloud technologies.
⭐ Preferred Skills
- Azure and GCP experience
- Machine Learning concepts/frameworks
- Informatica
- Scala
- Agile methodologies
- Strong analytical and communication skills
Qualification: Bachelor's degree in Computer Science, IT, or a related field.
If you have strong AWS Data Engineering experience and are interested in a freelance opportunity, we'd love to hear from you!
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