Cloud Data Engineer - AWS Data Pipelines & Lakes

The Value Maximizer; South Carolina; On-site; USD 90,000 - 120,000; Full time

Job summary

A data solutions company in South Carolina seeks a skilled Data Engineer to design, build, and maintain scalable data pipelines using AWS technologies. The candidate should have strong hands-on experience with AWS services, expertise in ETL/ELT development, and familiarity with modern data warehousing. Strong problem-solving and collaboration skills are essential. This role offers an opportunity to work in a fast-paced environment with diverse data teams.

Qualifications

• Hands-on experience with AWS services for data processing.
• Proficiency in Python and SQL for analytical tasks.
• Experience in designing and optimizing ETL/ELT workflows.

Responsibilities

• Design and maintain scalable data pipelines using AWS services.
• Build and optimize ETL/ELT workflows.
• Implement data lakes and data warehouses on AWS.
• Collaborate with stakeholders to understand data needs.

Skills

AWS services (S3, Glue, Redshift)

Python

SQL

ETL/ELT pipelines

Apache Spark / PySpark

Workflow orchestration (Airflow)

Streaming frameworks (Kinesis/Kafka)

DevOps

Agile/Scrum

Job description

A data solutions company in South Carolina seeks a skilled Data Engineer to design, build, and maintain scalable data pipelines using AWS technologies. The candidate should have strong hands-on experience with AWS services, expertise in ETL/ELT development, and familiarity with modern data warehousing. Strong problem-solving and collaboration skills are essential. This role offers an opportunity to work in a fast-paced environment with diverse data teams.