Data ETL Engineer with SQL - Remote / Telecommute

Job Title

Job Overview:

Pay Range: $30.00hr - $35.00hr

Requirement/Must Have:

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or related field.
• Strong experience in ETL development and data engineering.
• Hands-on experience with SQL, Python, and PySpark.
• Experience in data warehousing and database performance tuning.
• Knowledge of cloud-based data platforms and modern data engineering practices.
• Strong analytical, troubleshooting, and problem-solving skills.
• Experience with SQL & PL/SQL Development.
• Experience with Python Programming and PySpark.
• Experience with ETL Development and Data Integration.
• Knowledge of Data Warehousing Concepts and Development.
• Experience with Query Performance Tuning and Optimization.
• Experience with Bitbucket/Git Version Control.
• Experience leveraging AI tools such as GitHub Copilot and Windsurf.

Responsibilities:

• Design, develop, test, and maintain ETL/data pipeline solutions.
• Build scalable data processing workflows using Python and PySpark.
• Develop and optimize SQL/PLSQL scripts for data extraction, transformation, and loading.
• Design and maintain data warehouse architectures and data models.
• Perform performance tuning and query optimization for large datasets.
• Work with Databricks, Snowflake, and PostgreSQL environments.
• Manage source code repositories using Bitbucket and follow CI/CD best practices.
• Leverage AI-powered development tools to improve productivity and code quality.
• Collaborate with business stakeholders, data analysts, and cross-functional teams to deliver data solutions.
• Create technical documentation and support production deployments.

Nice to Have:

• Experience with Databricks and Snowflake.
• Exposure to AI Agent development and Generative AI technologies.
• Experience working in Agile development environments.
• Knowledge of AWS cloud services and PostgreSQL database administration.
• Experience with Shell Scripting.

Skills:

• SQL.
• PL/SQL.
• Python.
• PySpark.
• ETL.
• Data Warehousing.
• Query Optimization.
• Bitbucket.
• Git.
• GitHub Copilot.
• Windsurf.
• Databricks.
• Snowflake.
• PostgreSQL.
• AWS RDS.
• AI Agents.
• Shell Scripting.

Qualification And Education:

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