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Senior Data Engineer
Senior Data Engineer builds and maintains scalable data pipelines and models for a leading aeronautics client, ensuring data quality and security while collaborating with analytics and AI teams using Python, SQL, Snowflake, and Airflow/DBT.
Data Engineer
Design and maintain scalable data pipelines and ETL flows for structured/unstructured data, build OLAP/OLTP systems, and support analytics and AI initiatives in a fast-growing travel-tech company.
Data Engineer
Build and maintain cloud-based data pipelines and warehouses to turn raw energy data into insights that guide business decisions.
Data Engineer
Design and build scalable cloud data platforms on AWS using Infrastructure as Code, ETL pipelines, and CI/CD to deploy ML models and extract insights from structured and unstructured data.
Data Engineer
Designs and builds scalable data pipelines and analytical models in Snowflake and Databricks, enabling BI teams to deliver KPIs and dashboards in Power BI.
Data Engineer
Build and maintain scalable data pipelines and models for a mobile-gaming company, enabling analytics and AI-driven workflows with Python, SQL, and cloud warehouses like Snowflake.
Data Engineer
Build and maintain data pipelines, warehouses, and lakes for Emburse’s SaaS products using Snowflake, Databricks/Spark, AWS, and Looker.
Data Engineer
Build and maintain scalable data pipelines and models for mobile game analytics, using Python, SQL, and cloud data warehouses like Snowflake or BigQuery.
Data Engineer
Designs and maintains cloud data pipelines and analytics platforms for food and beverage processing plants using Azure, Databricks, and InfluxDB to enable AI-driven predictive maintenance and operational reporting.
Data Engineer
Build and maintain scalable data pipelines and datasets to power Amazon’s logistics decisions using AWS tools like Redshift, Glue, and Python.
Data Engineer
Build and maintain scalable data pipelines and models for mobile game analytics, using Python, SQL, and cloud warehouses like Snowflake to power monetization and A/B testing insights.
Data Engineer
Senior Data Engineer builds and scales a unified data ecosystem for 60+ brands, designing ETL pipelines, data models, and governance to power analytics and AI across team.blue’s ecommerce platform.
Data Engineer
Build and maintain data pipelines, dashboards, and warehouse models to turn business questions into trusted insights using SQL, Python, and cloud warehouses like BigQuery.
Data Engineer
Build and maintain scalable data pipelines and AI-driven features for a hospitality analytics platform, using Python, BigQuery, and GCP to power insights and machine learning.
Data Engineer
Design and maintain data pipelines and ETL processes to support AI/ML models and quantum computing applications using Python, SQL, and cloud platforms.
Data Engineer
Build and maintain scalable data pipelines and infrastructure using Scala, Spark, and cloud tools to ensure reliable data processing and availability for users.
Knowledge Graph Data Engineer - Scalable Pipelines
Designs and scales graph-based data infrastructure using RDF graphs, ontologies, and semantic pipelines to power a knowledge graph platform.
Data Engineer - Remote
Design and build scalable data pipelines and warehouses for a global client using Spark/Scala, Python, SQL, and AWS services like S3, Glue, and EMR.
Data Engineer
Build and optimize large-scale data pipelines and lakes on AWS Databricks, orchestrating ETL workflows and ensuring data quality for a global risk-intelligence platform.