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Build AI-ready data pipelines and knowledge systems for an investment firm’s agentic AI, integrating structured financial data, unstructured research, and real-time feeds into vector stores, graph databases, and retrieval pipelines.
Design and maintain scalable data models and ETL pipelines for a global fintech platform, ensuring clean, reliable data for analytics and AI use cases.
Senior Data Engineer builds and optimizes petabyte-scale ETL pipelines and dbt models, integrating AI tools to automate metadata, monitoring, and performance tuning for a global travel-experiences platform.
Build and maintain scalable data pipelines for a global crypto exchange, enabling AML monitoring, KYC/KYB, sanctions screening, and regulatory reporting with AI-assisted engineering and strict auditability.
Lead the design and delivery of enterprise-scale data platforms for a bank, building scalable Lakehouse architectures with Databricks, Snowflake, and Apache Iceberg/Delta Lake/Hudi to support regulatory reporting, risk management, and AI-driven analytics.
Entry-level AI Data Engineer builds cloud-native data pipelines and automation for cybersecurity SOC operations using AWS, Python, and IaC tools like Terraform.
Designs and maintains scalable data pipelines and cloud-based data warehouses to feed analytics and AI models, using Python, Spark, Kafka, and cloud platforms like AWS/Azure/GCP.
Embeds with enterprise clients to design and deploy AI-powered data pipelines using BigQuery and Dataflow, focusing on Text-to-SQL and data intelligence workflows.
Build and maintain data pipelines and infrastructure for a fast-growing multi-currency fintech wallet, enabling analytics, AI agents, and customer-facing features across APAC markets.
Build and run a distributed, event-driven system on GCP using Node.js, Apigee, Pub/Sub, and GKE/Cloud Run to modernize Singapore Post’s monolithic architecture.
Builds and leads the data infrastructure for Google Cloud’s AI agents, designing scalable pipelines, semantic models, and real-time systems to power secure, high-performance generative AI applications.
Design and build modern data analytics, Big Data, and data-warehouse solutions in AWS, GCP, or Azure, including ETL/ELT pipelines and governance using Databricks, Snowflake, and Spark.
Designs and builds secure, scalable GCP data pipelines (batch/streaming) using BigQuery, Dataflow, and Scala/Java/Python to turn raw data into business insights.
💫Про RIA.com Ми — українська продуктова ІТ-компанія RIA.com, яка розвиває відомі маркетплейси AUTO.RIA, DIM.RIA, AGRO.RIA та RIA.com. Нашими продуктами користуються мільйони українців, тож команда фахівців наполегливо…
Build and deploy AI-driven travel systems: optimize airline networks, automate agency workflows, and enhance retailing using ML, GenAI, and MLOps on GCP.
Designs, builds, and scales GCP-based data pipelines and warehouses, implementing ETL/ELT, real-time streaming, and big-data architectures while collaborating with analytics and business teams.
Build full-stack Python/React apps and AI-powered data-management tools on GCP for HSBC’s corporate compliance and risk systems.
Build and maintain scalable data pipelines on GCP using Python, Airflow, Spark, and BigQuery to power analytics and decision-making.
Senior Data Engineer builds scalable GCP-based data platforms using BigQuery, pipelines, and modern warehousing concepts to enable data-driven decisions for global clients.
Analytics Engineer implements and maintains Google Analytics 4, GTM, and tagging plans to track marketing data and optimize conversion rates.
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