ETL Data Engineer AWS & Python Specialist

As an ETL Data Engineer at our company, your role will involve designing, developing, and maintaining robust data pipelines using AWS cloud services and Python. You will be responsible for extracting, transforming, and loading large datasets while ensuring data quality, performance, and scalability across our data infrastructure. Key Responsibilities: - Design, develop, and maintain data pipelines using AWS cloud services and Python. - Extract, transform, and load large datasets while ensuring data quality, performance, and scalability. - Work with diverse data sources and formats, including RDBMS and NoSQL databases. - Develop API solutions for data ingestion and integration. - Convert, process, and transform various file formats (e.g., CSV, JSON, Parquet, XML) using data tools. - Address data and analytics requirements using Python. - Deploy and maintain scripts using Git repositories. - Stay updated with emerging technologies in the data and analytics space. - Work within SCRUM/Agile methodologies and environments. Qualifications Required: - Bachelor's Degree in Computer Science or IT. - Minimum of 5 years of experience in Python and ETL. - Hands-on experience with AWS Suite for cloud-based data and analytics solutions. - Experience in ingesting data from various sources such as APIs, logs, flat files, and databases. - Proficiency in administering both RDBMS and NoSQL databases. - Familiarity with API client-server development (REST) and data ingestion. - Ability to work remotely and available for mid-shift or rotating schedules. Please note that the above information is a summary of the job description provided.,