Data Scientist - Data Engineer
We are seeking an experienced Data Scientist - Data Engineer to design and implement a scalable data processing architecture that can handle large volumes of data.
Main Responsibilities:
* Design and develop data ingestion pipelines and integration processes using AWS services such as S3, Lambda, and Glue to ensure the smooth transfer of data into the DataLake;
* Implement data transformation and enrichment processes to ensure data quality and consistency using AWS services such as Athena, Redshift, and DynamoDB;
* Collaborate with cross-functional teams to understand business requirements, prioritize tasks, and deliver high-quality solutions within defined timelines;
* Optimize data storage and retrieval mechanisms to provide high-performance access to the data;
* Mentor and provide technical guidance to junior engineers to foster their growth and adherence to best practices;
* Continuously evaluate new AWS services and technologies to enhance the DataLake architecture and improve data processing efficiency;
Key Skills:
* Proficiency in Python programming language;
* AWS services including S3, Lambda, Glue, Athena, Redshift, and DynamoDB;
* Experience with data engineering, data warehousing, and ETL concepts;
* Strong problem-solving skills and analytical mindset;
* Excellent communication and collaboration skills;
* Bachelor's degree in Computer Science or related field.
What We Offer:
* Competitive salary and benefits package;
* Ongoing training and professional development opportunities;
* Collaborative and dynamic work environment;
* Opportunities for career growth and advancement.