Data Engineer (AWS) - Remote

Overview

Upwork has partnered with one of our Enterprise Clients who is an award-winning global provider of digital marketing solutions. They help transform businesses by helping brands grow meaningful relationships with people. They are currently looking to partner with a Data Engineer (AWS) who will be working closely with a team of developers, cloud architects and data scientists to architect data ingestion from multiple external systems into a unified data architecture using AWS Cloud technologies.

In Short

• Design, implement, and support a platform providing secured access to large datasets.
• Develop and maintain end to end scalable data infrastructure and data pipelines.
• Design and implement routines to extract, transform, and load data from a wide variety of data sources using Python, SQL, scripting, and AWS big data technologies.
• Design and implement complex ETL pipelines and other BI solutions.
• Work closely with product owners, developers, and data strategists to explore new data sources and deliver the data.

Requirements

• At least 3- 5 years of hands-on experience in developing data ingestion, data processing and analytical pipelines for big data, relational databases, NoSQL and data warehouse solutions on AWS Cloud Platform.
• AWS data services experience in particular AWS Glue, Lambda, RDS PostgreSQL, S3, Redshift, Athena, and other data infrastructure automation services.
• Experience with scripting in a serverless architecture using Python.
• Experience with Data modeling, querying, and optimization for relational, NoSQL, data warehouses and data lakes.
• Experience working with data lake and federated data architectures.

Benefits

• Knowledge of AWS step functions or similar orchestration tool.
• Experience with Visual Studio Code, Docker and Git.