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The Data Engineer will build, maintain, and optimize scalable data pipelines and analytical platforms using Python, Databricks, and PySpark within Azure cloud environments. The role involves collaborating with cross-functional teams to deliver data products and implementing MLOps and CI/CD practices.
Lead the design and build of internal data-platform tools, Airflow-based pipelines, and AI-driven developer workflows using Python, GCP, and modern DevOps practices.
Analytics Engineer transforming enterprise data into trusted, analytics-ready datasets using Azure Databricks, Python, and PySpark to support reporting, BI, and AI initiatives at a law firm.
Builds and maintains scalable data pipelines, semantic layers, and BI models to enable business intelligence, advanced analytics, and AI for a logistics airline subsidiary.
The Lead Data & Pipeline Architect will design and implement a scalable Azure-based data platform for a health-tech company, focusing on ingestion, transformation, and governance. The role involves building metadata-driven pipelines and establishing Medallion architecture standards to support analytics and AI.
The Senior Data Engineer will design, build, and maintain scalable data pipelines and AWS data platform services, including AWS Glue, Redshift, and Apache Airflow. This role involves collaborating with cross-functional teams to deliver reliable data solutions and business-facing models using Python, SQL, and dbt.
Builds and optimizes scalable data pipelines and ETL/ELT workflows on AWS, handling structured/unstructured data with batch/real-time processing. Works with Redshift, RDS, DynamoDB, and S3 for data modeling and storage optimization.
The Data Engineer will design and implement scalable ETL/ELT pipelines and data processing strategies using Datio and AWS technologies. The role involves modeling databases and optimizing data schemas in a hybrid work environment in Mexico City.
The Jr Reconciliation Data Engineer will support the finance team by automating reconciliation processes and managing data queries. The role requires proficiency in SQL and Python to ensure accurate financial data operations.
The Senior Data Engineer will design and maintain production-ready data pipelines and models using Snowflake and Azure to support performance management platforms. The role involves end-to-end data engineering, including integration, governance, and CI/CD implementation within a healthcare context.
The Data Engineer provides L2/L3 operational support for enterprise data platforms, focusing on troubleshooting Databricks environments, ETL/ELT pipelines, and cloud-native services on AWS or Azure. The role involves incident management, performance monitoring, and maintaining technical documentation in a hybrid work environment.
Design, build, and optimize cloud-native data pipelines and analytics-ready datasets on Azure Databricks for enterprise clients in healthcare and other industries.
Job Overview Aboitiz Data Innovation (ADI) is the Data Science and Artificial Intelligence arm of the Aboitiz Group. We believe data can drive change for a better world by advancing businesses across industries and…
Builds and maintains modern data platforms (ingestion, transformation, modelling) using Microsoft Fabric, Azure, and Databricks for NZ clients, delivering end-to-end solutions with a focus on quality and collaboration.
About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with…
Senior Data Engineer at Sytac building production-grade ETL/ELT pipelines in Python, PySpark, and SQL on Azure/GCP for large Dutch enterprises, treating data pipelines as software with IaC, CI/CD, Kubernetes, and Airflow.
Job specific requirements: 1 years Data Engineering/Modeling 3 years Database Design Cloud computing technologies (Azure, Google Cloud Platform) Programming Languages: SQL, Python, PySpark (Apache Spark), DAX, etc.…
The Data Scientist will build and deploy models and algorithms to estimate advertising spend and audience reach. The role involves end-to-end ownership of algorithms, utilizing Python, PySpark, and AI-assisted development tools to solve complex business problems.
Role: Data Engineer Location: Baltimore City, MD (Hybrid) Duration: 12 months project with 1 one-year renewal option Job Description: Hands-On Data Pipeline Development Design, code, and deploy ETL/ELT pipelines across…
The Senior SAP Data Engineer will architect and manage core data platforms using SAP Datasphere, SAP HANA Cloud, and SAP Business Data Cloud. This role involves designing robust data models, optimizing performance, and collaborating with cross-functional teams to deliver analytics solutions for asset-intensive industries.
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