Data Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and implement ETL jobs utilizing Azure Data Factory for both internal projects and customer-facing applications leveraging Azure, Salesforce, and SFTP technologies.

• Create ETL processes to handle and transfer large datasets while ensuring quality assurance through rigorous checks.

• Supervise ongoing ETL jobs in a production environment.

• Troubleshoot failed ETL jobs, resolve issues, and collaborate effectively with team members.

• Develop Azure Data Factory pipelines and employ SQL scripts to process and cleanse data.

• Contribute to the creation of data lineage artifacts and design/mapping documentation for Quality Assurance (QA) and User Acceptance Testing (UAT).

• Evaluate data transformation requirements and provide recommendations, alongside developing and training teams on data integration technologies.

• Construct ETL jobs to support the Snowflake data platform initiative, facilitating operational and analytical reporting.

• Identify opportunities for efficiency improvements in shared data processes and batch scheduling.

• Support the data quality analyst by implementing checks and balances for current and future batch jobs.

⛳️ Requirements

• A Bachelor’s degree or foreign equivalent in Computer Science, Computer Engineering, Data Analytics, Information Systems, or a related field.

• At least 1 year of experience in the job offered or in a related role, including experience as a Programmer Analyst or similar position.

• Minimum of 1 year of experience working with ETL, Python, and SQL.

• Capability to commit to a 40-hour work week.

• Flexibility to telecommute or work remotely from any location within the U.S.

🏝️ Benefits

• Competitive salary and comprehensive benefits package.

• Opportunities for professional development and training.

• Flexible work environment and remote work options.