Remote Data Engineer L1

Description:

• We are seeking a motivated and enthusiastic Data Engineer to join our fast-growing fintech company in Latin America.
• As a Data Engineer Level 1, you will assist in building and maintaining our data infrastructure, working closely with senior data engineers and data scientists.
• You will gain hands-on experience in data engineering best practices, tools, and technologies.
• This role offers an excellent opportunity to develop your skills while contributing to impactful projects in a collaborative environment.
• Key responsibilities include supporting the design and implementation of data pipelines using Python and SQL to ingest and process data from various sources.
• You will help in administering our data warehouse (Redshift), including managing data access and monitoring performance.
• You will assist in implementing and maintaining ETL processes to ensure data consistency and quality.
• Monitoring data pipelines under guidance, identifying data inconsistencies, and assisting in troubleshooting issues will be part of your role.
• You will work closely with data scientists and analysts to understand data needs and ensure availability of required datasets.
• Developing basic scripts to automate routine data tasks and improve efficiency is expected.
• You will document processes, configurations, and workflows to facilitate knowledge sharing and scalability.
• Proactively seeking opportunities to learn new tools and technologies in data engineering is encouraged.

Requirements:

• A Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience is required.
• 1-3 years of experience in data engineering or related fields is necessary.
• Basic proficiency in Python for data manipulation and scripting is required.
• A fundamental understanding of SQL for querying and managing databases is essential.
• Exposure to AWS services like Redshift and Lambda is a plus.
• Understanding of ETL concepts and basic data processing is needed.
• Familiarity with version control systems like Git is a plus.
• Strong desire to learn new technologies and improve skills in data engineering is essential.
• Careful attention to data accuracy and code quality is required.
• Ability to collaborate effectively with team members is necessary.
• Good verbal and written communication skills are important.
• Basic analytical skills to troubleshoot issues with guidance are required.
• Taking ownership of assigned tasks and following through to completion is expected.
• Being open to feedback and willing to adjust approaches based on guidance is necessary.
• Preferred qualifications include experience with workflow orchestration tools like Airflow, familiarity with CI/CD pipelines, basic knowledge of data warehousing concepts, understanding of data visualization tools, and experience in a fintech or fast-paced startup environment.

Benefits:

• Opportunity to work in a fast-paced, collaborative setting is provided.
• Access to mentorship and opportunities to develop your data engineering skills is offered.
• Exposure to cutting-edge fintech technologies and best practices is available.
• Chance to contribute to impactful projects and make a difference in the company's success is included.
• The salary range for this position is $1,500 - $2,500 a month.