Job Summary

Experienced AWS Data Engineers. The ideal candidate will have strong skills in designing, building, and maintaining large-scale data pipelines on AWS. The candidate should have expertise in SQL and Python, as well as experience with AWS services such as S3, Glue, Lambda, Managed Airflow and Redshift.

Responsibilities

Design, build, and maintain large-scale data pipelines on AWS

Develop and optimize data processing workflows using AWS services such as Glue, Lambda, Managed Airflow and Redshift

Collaborate with data scientists and analysts to identify data requirements and develop data solutions

Ensure data quality, security, and compliance with industry standards

Optimize data storage and processing costs on AWS

Troubleshoot data pipeline issues and implement fixes

Stay up to date with new AWS services and features

Requirements

7+ years of experience in data engineering or a related field

Strong skills in SQL and Python

Experience with AWS services such as S3, Glue, Lambda, Managed Airflow and Redshift

Strong understanding of data modeling and data warehousing concepts

Experience with agile development methodologies

Strong communication and collaboration skills

Proffered to Have

Certifications in AWS (e.g. AWS Certified Data Engineer)

Experience with data governance and security