Analytics Engineer II at Tala

Tala logo
Tala

Analytics Engineer II

Remote

Full Time

#Technology

#SQL

#ETL

#Python

#Java

#DBT

#Data Cleaning

#Data

#Data Validation

#Snowflake

#Airflow

Tala is looking for a Analytics Engineer II

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Are you ready to use your technical expertise to help millions of people gain access to the financial tools they need to thrive? At Tala, we are committed to unlocking economic power for the Global Majority, serving over nine million customers across Kenya, the Philippines, Mexico, and India. Our work has been recognized by Fortune and CNBC, and we are constantly expanding our reach into new markets and crypto services. If you have an entrepreneurial spirit and want to join a mission-driven team that has already secured nearly half a billion dollars in funding, we would love to meet you.

What you bring

We are looking for a Mid-Level Analytics Engineer II to join our team on a full-time, remote basis. You will play a key role in our data strategy, utilizing technologies like SQL, Python, Java, DBT, and Snowflake to build a robust data foundation. Your work will be central to our mission as you help us scale our infrastructure to support our global operations.

  • Develop and maintain the presentation layer to ensure our company has access to clean, aggregated, and reliable data.
  • Proactively identify and implement improvements to our existing data infrastructure.
  • Empower your colleagues by providing self-service tools and training to increase data accessibility across the organization.

Requirements

The ideal candidate for this role brings at least three years of professional experience as an Analytics Engineer or Data Engineer. You should have a strong command of SQL and ETL processes, along with proficiency in at least one programming language such as Python or Java. We are looking for someone with hands-on experience using DBT to clean, validate, and aggregate data sets. Because we operate as a global team, an advanced level of English is required. While not mandatory, experience with Snowflake management, Airflow, and advanced data modeling or machine learning techniques will certainly set your application apart.

What we offer

We believe that our team is our greatest asset, and we prioritize a culture that values inclusion and diverse perspectives. We are proud to support our employees with the following benefit:

  • Remote work flexibility to support our global team structure.

How to Apply

If you are passionate about building a new financial ecosystem where everyone can participate on equal footing, we encourage you to reach out. We look forward to reviewing your application and learning more about how your skills can help us achieve our mission.

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Tala

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