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Build and maintain data pipelines and dbt models in Redshift to turn raw payments data into clean, tested, and self-serve analytics for Flutterwave’s fintech platform.
Build cloud-based data platforms and tools for biopharmaceutical R&D, using Python, JavaScript/TypeScript, React, AWS, and data stacks like Pandas and Airflow to accelerate drug development.
Hey! Get ready to set sails and navigate the rindus wave. We're rindus, a People company. We love IT professionals and our passion is to help and empower our crew to get the best out of themselves, unfold their…
Build and optimize Snowflake-based data pipelines and analytics platforms for fintech clients, using Snowpark, dbt, and FastAPI to deliver secure, scalable data products.
Build and maintain cloud-based data pipelines and transformations using GCP, Python, SQL, and dbt to turn raw data into business insights for clients.
Build and maintain scalable data pipelines to collect, process, and analyze website behavior, customer, and transactional data using Airbyte, Python, and dbt.
Build and maintain scalable data pipelines and lakehouse infrastructure for a European restaurant-booking platform, using Snowflake/Databricks, Airflow, and AWS.
Build and maintain scalable data pipelines and warehouses using Python, SQL, dbt, and Airbyte to power analytics and ML systems for a media company.
Build and own Shiftbase’s BigQuery + Dataform warehouse from scratch, designing layered architectures and ELT pipelines that feed clean, governed HR data to teams and AI initiatives.
Build and own end-to-end data products—ingesting, modeling, and transforming data in SQL/Python to power AI and analytics platforms for large enterprises.
Lead a team of data engineers to build and scale a modern Data Lakehouse (AWS S3, Iceberg, EMR) and transformation frameworks (dbt) for a global streaming platform, enabling self-serve analytics and AI readiness.
Teach data engineering, cloud, and analytics modules at a polytechnic while designing curriculum and guiding student projects using Python, Spark, and cloud platforms.
Build and maintain cloud-based data pipelines and transformations using GCP, Python, and SQL to turn raw data into business insights for enterprise clients.
Build and maintain distributed data pipelines and processing systems for a Vulnerability & Exposure Management Platform, handling millions of daily events with Python, PySpark, and cloud tools.
Build and maintain the data pipelines and retrieval layer that power Mirai’s Generative AI products on AWS, including vector stores, embeddings, and governed datasets.
Lead Python engineer building automation for SaaS seat management and data-mesh integrations using open-source ETL tools.
Designs and maintains cloud-based data pipelines and ELT workflows using GCP, BigQuery, dbt, and Airbyte to ensure accurate, scalable analytics for reporting and decision-making.
Build and operate open-source data platforms using Python, Spark, and Kubernetes, focusing on pipelines, orchestration, and data quality for AI-driven analytics.
Build and operate open-source data platforms: pipelines, processing, orchestration, and deployment using Python, Spark, Kubernetes, and observability tools.
Senior Data Platform Engineer designs, builds, and advises on open-source data platforms for clients, focusing on stability, security, and scalability using Python, Spark, Kafka, Kubernetes, and related tools.
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