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Senior Data Analyst validates large datasets across Databricks, PostgreSQL, and graph databases to ensure accuracy and consistency for compliance and risk use cases.
Senior Data Engineer building end-to-end pipelines for marketing attribution, customer cohorts, and AI-driven ad spend optimization at Kavak, a LatAm unicorn redefining used-car commerce with AI-first products.
Design and build Ripple’s Caspian Data Platform, a Databricks-based lakehouse that powers analytics, reporting, and AI-driven operations across the company.
Senior Data Engineer building production ETL pipelines on Databricks for Ripple’s lakehouse, modeling governed data layers and integrating AI tooling to power analytics and reporting across finance and payments.
Lead backend development with Django and Python, and design Azure-based data pipelines using Databricks, PySpark, and Delta Lake to support financial reporting and enterprise systems.
Build and maintain Power BI dashboards and data models using Databricks, PySpark, and Azure to support business decisions and ML-driven forecasting for e-commerce and retail clients.
Design and build cloud-based data pipelines and Lakehouse architectures using Azure Databricks, PySpark, Delta Lake, and Azure Data Factory to power analytics and reporting.
Builds and maintains cloud data pipelines using Azure Databricks, PySpark, and Delta Lake to power analytics and BI for enterprise clients.
Senior Analytics Engineer designs scalable data models and ELT pipelines on cloud platforms (Snowflake, Databricks) using dbt, SQL, and Python to power AI-driven analytics for Fortune 500 clients.
Czym będziesz się zajmować? Responsibilities: Design, develop and maintain ETL and ELT pipelines for structured and semi structured data. Build and optimize lakehouse solutions for analytics, reporting and regulatory…
Czym będziesz się zajmować? Project details and scope: Build and optimize Azure and Databricks data platforms, lakehouses, and analytics solutions. Design and maintain scalable pipelines with ingestion from databases,…
Maintains and expands industrial data-historian systems (AVEVA PI/IP.21), curates clean datasets, and prepares AI-ready data pipelines for renewable-energy monitoring and predictive analytics.
Build and maintain scalable data pipelines and applications for regulatory reporting in investment banking using Python, SQL, Databricks, and cloud tech.
Senior Data Engineer builds and scales cloud-based data pipelines on Databricks and Snowflake, modeling genomic data for analytics and AI/ML to support Illumina’s health-equity mission.
Build and maintain data pipelines using Databricks, PySpark, and Python to process and transform healthcare data for analytics and ML.
Lead the architecture and modernization of enterprise-scale Azure data platforms (Databricks, Delta Lake, ADF) to power global procurement analytics and mentor engineers while driving AI-enabled automation and data quality improvements.
Design and prototype Databricks Lakehouse architectures for enterprise clients, building scalable data/AI platforms and guiding delivery teams on Delta Lake, Unity Catalog, and Mosaic AI.
Designs and leads scalable ETL pipelines and Databricks-based data platforms for NASA, ensuring secure, reproducible, and maintainable data workflows with CI/CD and cloud-native tools.
Builds full-stack web apps and data pipelines for aerospace engineering, manufacturing, and operations using React/TypeScript, Node.js, and cloud infrastructure.
Designs, deploys and optimizes cloud data platforms and AI solutions for customers, using OCI/AWS/Azure, Spark, Kubernetes and generative AI tools.
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