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The Data Engineer will develop and optimize data processes within an AWS cloud environment using PySpark. This is a long-term, 100% remote role.
The Data Engineer will develop data pipelines using Python and PySpark and collaborate on data architecture design within a hybrid work environment.
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s mostinnovative companies unleash their potential. From…
The Cloud Data Engineer will develop and maintain data pipelines and ETL/ELT processes using Python, PySpark, and SQL within GCP environments. The role involves collaborating with Agile teams to ensure data quality and optimize performance for analytics solutions.
Data Engineer developing and maintaining GCP data pipelines (BigQuery, Dataproc, Cloud Composer) using Python, PySpark, and SQL to support analytics and business reporting in Agile teams.
Designs and builds the end-to-end BI and analytics stack—from data ingestion to Power BI reports and conversational AI—so business users can ask natural-language questions and get trustworthy answers.
Designs and manages cloud-based data architecture for clients, ensuring efficient data integration, storage, and security while collaborating with cross-functional teams to meet business objectives.
Builds and scales high-performance data pipelines and production-ready systems using Python, SQL, Databricks/PySpark, and modern data engineering practices.
InMobi Advertising is a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150+ countries and turns real-time context into business…
Build and maintain scalable cloud data solutions using Python, PySpark, and Azure tools like Snowflake, Databricks, and Fabric to deliver analytics for government, energy, retail, and finance clients.
As a Senior Azure Data Engineer at ilionx, you will design and build scalable data solutions and pipelines using Azure, Databricks, Snowflake, and Python. You will work on diverse projects across sectors like healthcare and finance, while exploring the integration of generative AI into data platforms.
Build and maintain BI dashboards, ETL pipelines, and SQL-based analyses in Power BI and Microsoft Fabric to guide product, sales, and executive decisions.
Design and develop scalable data processing solutions and REST APIs on Azure/Databricks for a sales planning and analytics platform serving a premium German automotive OEM.
This role involves building and maintaining automated quality-control frameworks for data pipelines and cloud-based analytics platforms within a financial services environment. The engineer will utilize Python, Selenium, PyTest, Azure Databricks, and Spark SQL to perform data validation and API testing.
Senior Python Engineer builds secure, scalable microservices and data pipelines for a bank using FastAPI, PySpark, Azure Databricks, Docker, Kubernetes, Redis, and Kafka.
Senior Azure Data Engineer at Wipro in Toronto focusing on Databricks and Unity Catalog to manage cloud data solutions, execute data migrations, and build Power BI dashboards.
Designs and builds scalable data platforms using Microsoft Fabric, Azure Databricks, and Spark to enable analytics, reporting, and AI-driven decision-making in a fintech environment.
Design and implement scalable data platforms using Databricks Lakehouse, lead ETL modernization from Informatica to Databricks, and architect batch and real-time pipelines on cloud platforms using Spark, PySpark, SQL, and Delta Lake.
Senior Data Engineer builds and maintains ETL pipelines, APIs, and reporting systems using Python, PySpark, and SQL to power Xplore’s broadband network intelligence and data-driven initiatives.
The Python AI Engineer will design and build scalable AI-powered applications, microservices, and APIs using Python, LLMs, RAG, and Agentic AI frameworks. The role involves managing the full SDLC, including CI/CD, containerization, and event-driven architecture.
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