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We are currently seeking an experienced Machine Learning Engineer to join the Big Data and Advanced Analytics department. Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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Intermediate proficiency with cloud platforms (e.g., AWS, Google Cloud, Azure) and big data technologies (e.g., Snowflake, Spark, Kafka) Master's degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering, Machine Learning, Artificial Intelligence, Cognitive Science or other quantitative fields or foreign equivalent.
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Big data technologies like Hadoop (Hortwonworks, Cloudera, Azure HDInsight, Amazon EMR), Spark, Kafka, Elasticsearch and others; e web, service, data, and infrastructure) and insurance specific (i.e. Guidewire, EIS, Duck Creek, etc.
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Big Data / Databricks is not part of this role. Candidates with the bulk of their experience on Cloud and Big Data work will probably not be a fit for this role. The Sr. Data Engineer is responsible for designing, implementing, and supporting full life-cycle data engineering projects.
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Solid experience with big data technologies (Apache Spark, Hadoop, Kafka) and cloud services (AWS, Azure) related to data processing and storage. Preferred : Databricks Certified Associate Developer for Apache Spark, AWS Certified Solutions Architect, Azure Data Engineer Associate, or other relevant certifications.
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We are seeking a Senior DB2 SQL Data Engineer with expert-level proficiency in SQL stored procedures and deep familiarity with the DB2 IBM iSeries system (not Z/OS, not mainframe). Ensure data integrity, security, and performance of the DB2 database environment.
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You'll use your expertise in Python, SQL, and data visualization tools to clean, analyze, and transform data from multiple sources, including DC&I, environmental, safety, and financial. At least 2 years of experience as an Engineering Technician or Data Analyst in the Oil & Gas industry.
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Azure Active Directory, Azure Data Factory, Azure Data Lake, Azure Storage, Azure Functions, Azure Kubernetes Service, CosmosDB, Azure SQL Data Warehouse. Being able to address the: Business Process, Data, Application, Technical and Information Security aspects of an IT Solution and to document that in a High Level Design document.
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Management experience with these companies translates well to this opportunity: Walmart, 5 Below, Burlington Stores, Big Lots, Dollar General, Rural King, Gabes, Dicks Sporting Goods and Bed Bath and Beyond just to name a few.
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Expertise in data architecture and data integration, particularly in the context of geographically distributed ETRM systems for various commodities. Develop an architecture and solution for client's ETRM requirements and to import data from geographically distributed systems for multiple commodities.
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The candidate should also have experience with multiple modern techniques and algorithms in machine learning and statistical computing such as regression, clustering/segmentation, time-series analysis, recommender systems, predictive analytics, Bayesian modeling, data fusion, supervised/unsupervised learning, decision trees, A/B testing, natural language processing.
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The Data Governance and Data Quality Analyst will specialize in serving EY clients in the areas of Data Strategy, Data Governance, Data Quality, Data Definition and Usage, and Data Management.
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Role Data Architect with ETRM (Energy, Trading and Risk Management) - oil and gas company background will be a good fit. Experience/knowledge on Talend , ADF and SOA based data integration.
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Senior DB2 SQL Data Engineer. The ideal candidate will have a strong database development and application coding background, particularly in modernizing and converting RPG programs to SQL. This role requires extensive hands-on experience in IBM iSeries tools like Aldon, RDI, and ACS, alongside proficiency in contemporary development environments and languages such as Python, microservices, and VS Code IDE.
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Job Title: Analysts, Senior Data Engineering (Machine Learning Engineer) Knowledgeable of modern data platform technologies including Apache Airflow, Kubernetes, and Object Storage. As a member of the Data Engineering team, the Machine Learning.
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big data jobs Title: forklift operator in Houston, TX
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