Job Summary:
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:
Assist in Data Pipeline Development: Support the design and implementation of data pipelines using Python and SQL to ingest and process data from various sources.
Data Warehouse Maintenance: Help in administering our data warehouse (Redshift), including managing data access and monitoring performance.
ETL Support: Assist in implementing and maintaining ETL processes to ensure data consistency and quality.
Data Quality Assurance: Monitor data pipelines under guidance, identify data inconsistencies, and assist in troubleshooting issues.
Collaboration: Work closely with data scientists and analysts to understand data needs and ensure availability of required datasets.
Automation and Scripting: Develop basic scripts to automate routine data tasks and improve efficiency.
Documentation: Document processes, configurations, and workflows to facilitate knowledge sharing and scalability.
Continuous Learning: Proactively seek opportunities to learn new tools and technologies in data engineering.
Requirements:
Educational Background: Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.
Experience: 1-3 years of experience in data engineering or related fields.
Technical Skills:
Basic proficiency in Python for data manipulation and scripting.
Fundamental understanding of SQL for querying and managing databases.
Exposure to AWS services like Redshift, Lambda is a plus.
Understanding of ETL concepts and basic data processing.
Familiarity with version control systems like Git is a plus.
Soft Skills:
Eagerness to Learn: Strong desire to learn new technologies and improve skills in data engineering.
Attention to Detail: Careful attention to data accuracy and code quality.
Team Player: Ability to collaborate effectively with team members.
Communication Skills: Good verbal and written communication skills.
Problem-Solving Abilities: Basic analytical skills to troubleshoot issues with guidance.
Responsibility: Takes ownership of assigned tasks and follows through to completion.
Adaptability: Open to feedback and willing to adjust approaches based on guidance.
Preferred Qualifications:
Experience with workflow orchestration tools like Airflow.
Familiarity with CI/CD pipelines.
Basic knowledge of data warehousing concepts.
Understanding of data visualization tools.
Experience in a fintech or fast-paced startup environment is a plus.
What We Offer:
Dynamic Environment: Opportunity to work in a fast-paced, collaborative setting.
Professional Growth: Access to mentorship and opportunities to develop your data engineering skills.
Innovative Technologies: Exposure to cutting-edge fintech technologies and best practices.
Impactful Work: Chance to contribute to impactful projects and make a difference in the company's success.
