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Design and scale robust data pipelines and infrastructure for AI-driven infrastructure projects, using cloud-native tools like Spark, Kafka, and Airflow to process IoT and telemetry data.
Build and maintain ETL pipelines to move transactional data into a modern data warehouse, write SQL transformations, and ensure clean, reliable data for analytics and risk teams.
Build and maintain secure, compliant big-data pipelines on AWS, using Python, PySpark, and Terraform to provision analytics-ready datasets for enterprise reporting and governance.
Design and migrate data infrastructure to a cloud lake-house, build scalable pipelines, and mentor junior engineers for an online gaming company.
Designs and maintains scalable data pipelines and cloud-based data platforms using AWS, Microsoft Fabric, and Databricks to support analytics and machine learning for a financial-services company.
Build and govern a reliable dbt analytics layer for a fintech investor, transforming raw data into clean, actionable metrics and models for business decisions.
Owns and maintains the company’s data warehouse in dbt, ensuring trustworthy models and actionable insights across growth, operations, and AI teams.
Design and build cloud-based data pipelines and warehouses for clients, using AWS/Azure/GCP, SQL/NoSQL, and ETL tools to enable analytics and decision-making.
Build and maintain cloud data pipelines on AWS, Azure, or GCP to ingest and process data for clients, enabling analytics and decision-making.
Who We Are: Fusable is a leader in data-driven solutions for the trucking, agriculture, and construction industries. We're passionate about valuing our associates for their unique skills, ideas, and backgrounds,…
Build and deploy ML models into production pipelines for a healthcare services division, refactoring data-scientist models into scalable batch jobs and monitoring performance in AWS.
Builds cloud-based data platforms and tools to accelerate drug development, using Python, JavaScript/TypeScript, React, AWS, and data engineering stacks like Pandas and Airflow.
Owns metric definitions, requirements docs, and data source mapping for a cybersecurity data integration program consolidating seven domains into AWS Redshift.
Build and deploy production-grade LLM and NLP systems that turn multilingual news, economic events and market narratives into real-time, explainable market intelligence for financial institutions.
Design and build scalable cloud data platforms for a fintech firm, including data warehousing, streaming pipelines, and AI-driven analytics using AWS, dbt, and Python.
Build and maintain cloud-based data pipelines and infrastructure for a high-traffic media network, supporting analytics, AI services, and real-time content delivery.
Vira Games - незалежна ігрова компанія, що спеціалізується на розробці та видавництві мобільних ігор. Наша команда - це творчий альянс, що об’єднує досвід, креативність, драйвовість та професіоналізм. Ми шукаємо…
Lead Plata’s risk data infrastructure to an LLM-agent-ready state, enforcing data quality and governance across Snowflake, dbt, and metadata layers while managing a small analytics engineering team.
Build and deploy marketing ML models using Python, PySpark, and AWS services; engineer scalable data pipelines and automate analyses for ad-tech and customer analytics.
Senior Data Engineer builds and scales Python-based data pipelines (Pandas, PySpark, dbt, Airflow) on Snowflake/BigQuery, ensuring reliability and performance for analytics and AI workloads.
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