ETL & Data Engineer: Scalable Cloud Pipelines (Snowflake)

Dexian; Florida; On-site; USD 90,000 - 140,000; Full time

Job summary

Dexian is seeking an experienced ETL Developer / Data Engineer to design, develop, and support scalable data integration solutions across enterprise data platforms. You will build and optimize ETL pipelines, integrate data from multiple sources, and deliver reliable data solutions for analytics, reporting, and business operations.

The ideal candidate has strong Python and/or Java skills, hands-on REST API integrations, and deep SQL knowledge.

Qualifications

• 4+ years of ETL/ Data Engineering experience in enterprise environments.
• Strong programming skills in Python and/or Java.
• Experience building and maintaining ETL pipelines for structured and unstructured data.
• Hands-on REST API integrations and data ingestion experience.
• Strong SQL skills including optimization and performance tuning.
• Experience with Snowflake, Oracle, PostgreSQL, or similar databases.
• Knowledge of batch and real-time data processing architectures.
• Experience troubleshooting production data pipelines and root cause analysis.
• Familiarity with CI/CD tools such as Jenkins, Git, and Bitbucket.
• Understanding of data governance, security, and compliance.

Responsibilities

• Design, develop, and support scalable data integration solutions.
• Build and optimize ETL pipelines across enterprise data platforms.
• Deliver reliable data solutions to analytics, reporting, and operations.
• Contribute to automation, deployment, and ongoing support of data engineering initiatives.
• Ensure data quality, performance, security, and compliance.

Skills

Python

Java

ETL pipelines

SQL

REST APIs

Snowflake

Oracle

PostgreSQL

CI/CD

Data governance

Data modeling

Data architecture

Tools

Jenkins

Git

Bitbucket

Job description

Dexian is seeking an experienced ETL Developer / Data Engineer to design, develop, and support scalable data integration solutions across enterprise data platforms. You will build and optimize ETL pipelines, integrate data from multiple sources, and deliver reliable data solutions for analytics, reporting, and business operations.

The ideal candidate has strong Python and/or Java skills, hands-on REST API integrations, and deep SQL knowledge.