(824) Data Engineer

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Requirements:

• Bachelor's Degree in Computer Science, Engineering, or a related field.
• 5+ years of experience working with Python (data manipulation, scripting, automation).
• 5+ years of experience working with datasets and data collection.
• 3+ years of experience working with ETL tools.
• 3+ years of experience working with cloud platforms (AWS, GCP, or AEP).
• 2+ years of experience working with Artificial Intelligence.
• 2+ years of experience working with Airflow and Snowflake.
• Advanced English level is required.

Responsibilities:

• Collaborate with cross-functional teams to understand data requirements and objectives.
• Develop and maintain efficient data pipelines for data collection, processing, and cleaning.
• Utilize expertise in Python and AI to enhance data processing and analysis capabilities.
• Work with platforms like AEP, Google Cloud, and AWS to manage and optimize data infrastructure.
• Explore and implement best practices for data quality, integrity, and security.
• Collaborate with stakeholders to address data-related challenges.
• Stay current with industry trends and emerging technologies in data engineering.