ETL Architect with AWS

January 29, 2024

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Job Description

Role: ETL Architect with AWS

Location: Chicago, IL (Hybrid)

Experience: 12+ years only

Duration: Long Term.

Must have skills: Lambda , Step functions in AWS, AWS-Glue, Redshif, Python, Terraform

Key Responsibilities:

· Design, implement, and optimize cloud-based solutions on AWS, leveraging services such as S3 for scalable data storage.

· Develop serverless applications using AWS Lambda for efficient and cost-effective execution of functions.

· Implement and manage data warehouses on AWS Redshift for high-performance analytics.

· Implement and manage visualisation/reports using Tableau.

· Utilize Matillion for ETL processes, ensuring efficient data extraction, transformation, and loading.

· Collaborate with cross-functional teams to understand data requirements and design effective solutions.

· Write code in Python for data processing, automation, and application development.

· Ensure the security, availability, and performance of AWS-based systems.

· Troubleshoot issues related to AWS cloud services and data engineering processes.

· Document technical solutions, best practices, and guidelines.

Required Skills and Qualifications:

· Bachelor’s degree in Computer Science, Information Technology, or related field.

· Minimum of 5 years of experience in AWS cloud engineering and data operations.

· Proficiency in AWS services, with a focus on S3, Lambda, and Redshift.

· Proficiency in using and managing Tableau.

· Experience with Matillion for ETL processes and data integration.

· Strong programming skills in Python and C#.

· Knowledge of AWS services such as Glue, Athena, etc.

· Understanding of data warehousing concepts and best practices.

· Ability to work collaboratively in a team environment.

· Excellent problem-solving and troubleshooting skills.

· Preferred Skills:

· AWS certifications related to cloud engineering and data analytics.

· Experience with continuous integration/continuous deployment (CI/CD) pipelines.

· Previous work on large-scale data migration projects.