AWS Data Engineer: Build Scalable Data Pipelines in Cloud

Ethereum Technologies; Dallas (TX); On-site; USD 83,000 - 117,000; Full time

Job summary

Ethereum Technologies is seeking an AWS Data Engineer in Dallas, TX to design, build, and maintain scalable data pipelines and architectures in the AWS cloud. The role collaborates with data scientists, analysts, and business stakeholders to deliver robust data solutions.

The ideal candidate has 5+ years of experience with data lakes/warehouses on AWS, strong Python/SQL skills, and deep AWS services knowledge, including Glue, Redshift, S3, Lambda, and Kinesis.

Qualifications

• Bachelor's degree in Computer Science or related field.
• 5 years of experience implementing data lakes/warehouses on AWS for large enterprises.
• Proficiency in Python, Shell scripting, and SQL.
• Strong experience with AWS services: Glue, Redshift, S3, Lambda, EMR, Kinesis, and Step Functions.
• Experience with serverless development and data pipeline orchestration.
• Excellent communication and teamwork abilities.

Responsibilities

• Design, build, and maintain data pipelines and architectures on AWS.
• Ingest data from on-premises to AWS and within AWS using various services.
• Develop ETL/ELT processes ensuring data quality, integrity, and security.
• Architect end-to-end data solutions focusing on data lakes and data warehouses.
• Collaborate with cross-functional teams throughout the software lifecycle.
• Implement CI/CD strategies for enterprise data platforms.

Job description

Ethereum Technologies is seeking an AWS Data Engineer in Dallas, TX to design, build, and maintain scalable data pipelines and architectures in the AWS cloud. The role collaborates with data scientists, analysts, and business stakeholders to deliver robust data solutions.

The ideal candidate has 5+ years of experience with data lakes/warehouses on AWS, strong Python/SQL skills, and deep AWS services knowledge, including Glue, Redshift, S3, Lambda, and Kinesis.