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Strong experience working with SCADA, IoT devices, Data Historians, Big Data environments - Hadoop (Apache, Cloudera) , Cloud (Azure, Amazon, GCP) and messaging protocols - MQTT, MODBUS, AMQP, RPC.
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We are currently seeking an experienced Machine Learning Engineer to join the Big Data and Advanced Analytics department. As a member of the Data Engineering team, the Machine Learning 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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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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Returnship - Big Data Insights Developer. Big Data Insights Developer is a critical role to scale the existing work and build as-a-service Consumer PC Usage and data insights platform.
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We are currently seeking an experienced Python Data Engineer to join the Big Data and Advanced Analytics department. As part of the Data Engineering team, the Lead Python Data 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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Big data tools: Hadoop, & Spark, Databricks, MLFlow. Data pipeline and workflow management tools: DataBricks, ADF, Dataflow. You will use broad and deep technical knowledge in the data engineering space to tackle complex data problems for product teams, with a core focus on using technical expertise.
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Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka). Focus on data modeling, data quality, data integration, and data governance to optimize data storage, retrieval, and analysis.
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We are currently seeking an experienced Machine Learning Engineer/Software Developer to join the Big Data and Advanced Analytics department. Participate in strategic planning discussions around optimizations, data science and big data analytics.
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Data Migration experience from ECC or any legacy sources to the Target S/4 HANA or ECC target systems using Syniti ADMM tools. Accenture's SAP practice, and we bring the New to life using design thinking, agile development methodologies, and the latest smart tech like IoT, automation, and AI. We even built myConcerto, a mix of SAP and Accenture that helps lead our clients to big wins.
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Proficiency in Azure Synapse Analytics, Azure Data Factory, Azure Databricks, and Azure SQL Database. Knowledge of data integration techniques, ETL processes, and data pipeline orchestration Knowledge of artificial intelligence and machine learning (AI/ML.
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Strong, proven programming skills and with machine learning and deep learning and Big data frameworks including TensorFlow, Caffe, Spark, Hadoop. BE/B.Tech/Masters in a quantitative field such as CS, EE, Information sciences, Statistics, Mathematics, Economics, Operations Research, or related, with focus on applied and foundational Machine Learning, AI, NLP and/or/data-driven statistical analysis & modelling.
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Software Tester - Job Summary The successful candidate will be part of the KBR team supporting the Test Resource Management Center's (TRMC) Big Data (BD) and Knowledge Management (KM) Cloud Hybrid Edge-to-Enterprise Evaluation & Test Analysis Suite (CHEETAS) Team working on prototype BD and KM systems for DoD testing Ranges and various acquisition programs.
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Utilize ETL tools and frameworks (e.g., Apache Airflow, Talend) to automate data workflows, ensuring efficient data integration and timely availability of data for analytics. - Design and implement scalable and reliable data pipelines to ingest, process, and store diverse data at scale, using technologies such as Apache Spark, Hadoop, and Kafka.
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We are currently seeking an experienced Python Web Developer to join the Big Data and Advanced Analytics department. As part of the Data Engineering team, the Lead Python Web Developer will work closely with Business domain experts and Data Engineeers to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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Demonstrating experience across a number of broad technology disciplines, including domains such as digital transformation, application consolidation, infrastructure design & migration (including Cloud & Data Centre), software development, service integration, and data analytics.
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big data jobs in Houston, Enfield, Connecticut
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