Senior Data and Insight Engineer

About The Project

As a Data and Insight Engineer, you will have a strong background in working with diverse data sets, expertise in data collection methodologies, and a proven track record in data cleaning and transformation. As a Data Engineer, you will play a pivotal role in ensuring the accuracy, reliability, and accessibility of our data, enabling the organization to derive meaningful insights and make informed decisions. Familiarity with data platforms such as AEP, Google Cloud, and AWS, along with proficiency in Python and AI, will be crucial for success in this role. Knowledge of Snowflake and Airflow is highly desired.

What you’ll do

• Collaborate with cross-functional teams to understand data requirements and objectives. 
• Develop and maintain efficient data pipelines for data collection, processing, and cleaning. 
• Utilize your expertise in Python and AI to enhance data processing and analysis capabilities. 
• Work with platforms such as 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 identify and address data-related challenges. 
• Stay current with industry trends and emerging technologies in data engineering. 

What makes you a great fit

• Bachelor's Degree in Computer Science, Engineering, or a related field. 
• 5+ Years of experience working with Python (Data manipulation, scripting, and automation). 
• 5+ Years of experience working with Datasets and Data Collection. 
• 3+ Years of experience working with Cloud (at least one: 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 for this role, as you will work with US clients. Effective communication in English is essential to deliver the best solutions to our clients and expand your horizons.