Job Description

Data Engineer

Local to Dallas,TX

C2C

only 10+ or above need passport number for genuinty

• Design, develop, and implement ETL processes to extract data from various source systems, transform it according to business requirements, and load it into target systems (e.g., data warehouse, data lake)
• Implement data validation and error handling within ETL pipelines.
• Build and maintain scalable, reliable, and efficient data pipelines.
• Design and implement data quality checks, validations, and transformations within ETL processes.
• Automate data quality monitoring, alerting, and reporting within ETL pipelines.
• Develop and implement data quality rules and standards within ETL processes.
• Integrate data from diverse sources, including databases, APIs, flat files, and cloud-based systems.
• Utilize ETL tools and technologies (e.g., SnapLogic, Informatica PowerCenter, Talend, AWS Glue, Apache Airflow, Azure Data Factory, etc.).
• Write SQL queries to extract, transform, load, and validate data.
• Use scripting languages (e.g., Python) to automate ETL processes, data quality checks, and data transformations.

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