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Senior Data Engineer builds high-performance data pipelines and lakehouse architecture using ClickHouse, Postgres, and open-source tools to power real-estate analytics and products.
Build and maintain GCP-based data pipelines (batch/streaming) for analytics and ML, using BigQuery, Dataflow, Pub/Sub, Kafka, and ClickHouse.
Senior Data Engineer builds and maintains scalable data pipelines for a global wealth management firm, using Snowflake, dbt, Prefect, and Workato to deliver analytics-ready financial data for executives.
You’ll design and maintain Kubernetes-based cloud infrastructure, automate CI/CD pipelines, and set up observability for a data platform used by hundreds of engineers and analysts.
Build and own the data pipelines, ML feature stores, and inference APIs that power renewable-energy analytics at scale, integrating forecasts into a SaaS platform for wind, solar, hydro, and storage assets.
Lead a team of data engineers to build and maintain scalable data pipelines and warehouses using SQL, Python, Snowflake, and DBT for a fast-growing Canadian dental healthcare network.
Build NLP pipelines with Flair/BERT/LLMs, process large datasets in PySpark/Pandas, and deploy ML models via Flask APIs and MLflow for Citi’s fintech and AI products.
Build and maintain scalable ML pipelines on Azure, automating training, deployment, and monitoring with DevOps practices and Kubernetes.
Чем предстоит заниматься: ✨Внедрять ML-модели в продакшн: разрабатывать и интегрировать пайплайны для скоринга, оценки рисков и других бизнес-задач в промышленную среду. ✨Строить надёжные пайплайны обработки данных:…
Build and tune LLM-based AI agents and RAG systems for ERP automation and SaaS knowledge bases, using Python, PyTorch, LangChain, and cloud pipelines.
Software Engineering Manager - Fleet Management Location: US Department: Technology About Nscale Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups…
Build and maintain data pipelines and analytics systems using Python, Snowflake, dbt, and AWS services for a fintech platform.
Engineering Manager- Data & Analytics Location: Bengaluru, Karnataka, India Department: Weekday's Client via platform Workplace: on_site Employment Type: full Description This role is for one of the…
Build and maintain petabyte-scale data pipelines using Iceberg, Spark, DuckDB, and Trino, and own the reporting stack behind the Clear UI.
Design and maintain scalable ETL pipelines and data models in Python/SQL to feed analytics and ML systems for a travel-focused ad-tech platform.
Build and optimize cloud-based data pipelines and ML infrastructure for e-commerce and retail clients using AWS, Databricks, and Python.
Design and scale a modern data platform using Snowflake, Airflow, and ETL/ELT pipelines, while implementing DataOps practices and CI/CD for analytics.
Senior Data Engineer builds and scales a modern data platform, designing ETL/ELT pipelines, optimizing Snowflake schemas, and implementing DataOps practices with Airflow, Prefect, or Dagster.
Architect and build scalable data pipelines and warehouses using Snowflake, Airflow/Prefer/Dagster, and Python to ensure reliable, accessible data for enterprise analytics.
Design and scale a modern data platform, building production-grade ETL/ELT pipelines and optimizing Snowflake schemas for reliability and accessibility.
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