Job Description

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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