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About Tala
Tala is a leading fintech company on a mission to create a new financial ecosystem where everyone can participate on equal footing and access the tools they need to be financially healthy. With a strong focus on innovation and inclusion, we're proud to have a diverse global team that represents a multitude of backgrounds, cultures, and experience.
We're expanding across product offerings, countries, and crypto, and are looking for talented individuals who share our passion for making a positive impact. Our unique platform enables lending and other financial services around the globe, empowering people in emerging markets to start and expand small businesses, manage day-to-day needs, and pursue their financial goals with confidence.
The Role:
As a Data Engineer II, you will play a critical role in building and maintaining our data infrastructure, providing aggregated, clean, and trustworthy data to the rest of the company. You will collaborate with other teams to identify opportunities for improvement and develop solutions to enhance our data capabilities. Your expertise will enable data analysts to explore insights using our data infrastructure, bringing data accessibility to a new level.
Key Responsibilities:
- Design and implement data pipelines to provide high-quality data to stakeholders
- Develop and maintain data models to support business intelligence and analytics
- Collaborate with cross-functional teams to identify data needs and develop solutions
- Provide training and support to data analysts to ensure effective use of data infrastructure
Requirements:
- 3+ years of experience in data engineering or a related field
- Expertise in SQL, ETL, and at least one programming language (e.g., Python, Java)
- Experience with data warehousing and business intelligence tools
- Advanced English language skills
Nice to Have:
- Experience with cloud-based data platforms (e.g., Snowflake)
- Knowledge of machine learning and advanced analytics techniques
We're committed to fostering a culture of inclusion and innovation, and we're proud to have a diverse team that represents a multitude of backgrounds, cultures, and experience. If you're passionate about making a positive impact and have a strong foundation in data engineering, we'd love to hear from you.
