Remote Data Jobs · Python

• Scale the corporate People Data Warehouse to support analytics across multiple teams.
• Build and maintain ETL pipelines using Hive, Spark, or other MPP database architectures.
• Identify, diagnose, and resolve complex data issues.

Design and maintain ETL/ELT pipelines in Databricks. Build Power BI dashboards for executive audiences. Collaborate with analysts and leadership to deliver actionable solutions.

• Analyze blockchain and payments data at scale.
• Build and maintain automated data models and ETL pipelines using SQL, Python, Airflow, and dbt.
• Design dashboards that reveal trends across user growth, capital movement, and transaction health.

Looking for a Data Scientist with strong engineering skills, solid experimentation methodology, and deep business understanding. Design and lead a unified data with data infrastructure and experimentation framework across the company. Enable faster iteration and better decision‑making for all business lines.

• Drive the Monitoring & Evaluation (M&E) framework for the "IremboAI" initiative.
• Transform raw data into actionable insights to measure the project's success.
• Build and maintain production-grade data models using SQL/dbt.

• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Implement MLOps practices like CI/CD pipelines and model deployment using appropriate tools and frameworks.
• Provide technical leadership by mentoring team members and contributing to technical discussions.

Responsible for managing data migration processes, identifying and resolving anomalies, and maintaining data integrity across systems. Working closely with cross-functional teams, you will support process improvements, communicate trends and insights, and contribute to a seamless user experience. Innovate on operational workflows and provide technical support during migrations.

• Design, develop, and maintain scalable data platform components for ingestion, transformation, and analytics.
• Build and scale data pipelines using tools such as Airbyte, Rudderstack, Kafka, and DBT with Snowflake.
• Implement CI/CD workflows with GitHub Actions and ensure robust observability using Datadog.

This role ensures clients receive technical support for SaaS solutions, focusing on data pipelines and integrations. Responsibilities include troubleshooting, optimizing data flows, and implementing solutions with SQL and Python. The role requires strong communication skills to explain complex issues and improve support processes through automation.

• Design, develop, and maintain scalable data pipelines for ingestion, parsing, filtering, and optimization of diverse datasets.
• Implement robust data modeling techniques to structure and format datasets for efficient training.
• Collaborate with researchers, engineers, and cross-functional teams to meet the evolving needs of AI models.