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Maintain and optimize our data warehouse (BigQuery) in collaboration with the Lead Data Engineer and the data engineering team. As the Data Engineer specializing in analytics and interactions data, you will be a key member of our Digital Ops team, responsible for making data accessible and ensuring the uninterrupted flow of data in order for us to best evaluate and optimize performance.
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The Data Engineer is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, data architects, and data analysts on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.
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Whilst being physically co-located with the trading teams, the engineer will be part of the global Data Science and Engineering Team who are responsible for the ingestion and management of market and fundamental data, as well as providing cloud-based infrastructure for the use of research analysts, traders and data scientists.
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Hands-on experience with any of the following data orchestration stack, ingestion frameworks, cloud-native patterns: Apache Airflow, Kafka, Nomad/Terraform, Kubernetes/Docker, etc. As a Software Engineer III at JPMorgan Chase within the Corporate Sector, Regulatory Controls and Operational Risk Technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way.
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The Principal Data Engineer in the area of Data Analytics & Delivery is a pivotal role in the Enterprise Data Engineering & Analytics Department in operationalizing critical data and analytics for MD Anderson's digital business initiatives.
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GCP Data Engineer (Standard) with skills Big Data, Kafka, Python, Scala, Apache Spark for location Poland. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence.
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About The Role As a Senior Reporting and Data Analytics Engineer you will be responsible for leading, influencing AIG’s L&R Reporting and Data Analytics support team and managing the end-end operational environment.
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As a Senior Data Engineer, you will play a key role in developing and maintaining our data infrastructure, ensuring data quality, reliability, and accessibility for our analytics and machine learning initiatives.
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Senior Data Engineer & Support (R-Shiny) Due to the continued growth of the business and the importance of the data we use on a daily basis, we are currently looking for a for a data engineer to join our global Data team in Houston.
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We are looking for an experienced, commercially-savvy data scientist/computational engineer to build models that aid our goal of decarbonizing heavy industry. #Senior #Computational #Engineer #Data #Scientist.
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Azure Data Engineer (Standard) with skills Oracle ADF, Azure Data Factory, synapse, databricks, Azure Datalake for location Bangalore, India. Direct experience of building data pipelines using Azure Data Factory and Apache Spark (preferably Databricks.
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AI Engineer - NLP/LLM Data Specialist. We are growing our Data Science and Data Engineering team and are looking for an experienced AI Engineer specializing in creating AI automation solutions.
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Expertise in Azure tools such as Databricks, Azure Data Factory, Azure Synapse Analytics, and Azure SQL Database. Design, build, and maintain robust data pipelines and ETL processes in Azure, leveraging tools such as Databricks, Azure Data Factory, and Azure Synapse Analytics.
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The Data Engineer will be responsible for operationalizing data and analytics initiatives for the company. Knowledge and/or familiarity of the midstream services industry and data generated in support of business activities related to the gathering, compressing, treating, processing, and selling natural gas, NGLs and NGL products, and crude oil will be strongly preferred.
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As a Data Engineer at Cyclyx, your core responsibilities will involve developing and maintaining efficient data pipelines, cleaning, and processing diverse data sets, integrating predictive analytics, and generating databases to serve our reporting tools, collaborating closely with systems engineering and various business partners.
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Title: data engineer in Houston, TX
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