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5 years of experience in data engineering, data integration, and data warehousing using Azure services such as SQL Server, Azure Data Factory, Azure Synapse, and Azure Databricks.
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Working with Big Data infrastructure, Engineering, and Operations, you will develop a scalable and sustainable analytics process. Having experience with productizing machine learning models within a cloud service (e.g., AWS, Azure, GCP) and data science environments (e.g., Databricks) is a plus.
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Work on integration projects with SPS Commerce, Dell Boomi, Celigo, Shopify, WooCommerce and Other platforms. Lead NetSuite Implementation to export accounting trailing transactions, reconciliation of GL – General Ledger MoM (Month over month) data.
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Data Integration and ETL: Develop and maintain advanced Data Engineering processes and patterns using Spark, Python, Scala, Databricks, Azure Data Factory and other relevant tools to integrate data from various sources.
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A law firm in Houston, TX, is seeking a proactive Cyber and Data Privacy Associate Attorney with 3-6 years of experience in cyber incident response and/or litigation. 3-6 years of relevant experience in cyber incident response, data privacy, and/or litigation at a reputable law firm.
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Familiarity with SQL and big data tooling (E.g Apache Spark ecosystem) Have architectural skills dealing with data modeling and infrastructure solutions, such as classical data warehousing and big data architectures.
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Our client is 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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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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Design and develop scalable, efficient data pipeline processes to handle data ingestion, cleansing, transformation, integration, and validation required to provide access to curated data sets to data analysts and data scientists.
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API Integration: Proven experience in integrating with third-party APIs (Boomi, NetSuite, PayPal, HubSpot and SalesForce) Integration Management: Implement and manage integrations with third-party services and enterprise systems (Boomi, SalesForce, HubSpot, PayPal and NetSuite.
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Demonstrating relevant project management experience in organizing and leading teams including Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development (tools: IICS/AWS Glue/SAP BODS/ SSIS/SnapLogic); preferable in P&C Insurance data warehouse.
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Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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As a Jr. UAS Pilot, you will work closely with our experienced UAS Pilots to assist in various aspects of navigation, operations, and data management during this critical period. Arch Aerial is a leading provider of unmanned aerial systems (UAS) solutions, specializing in aerial data collection and analysis.
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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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Serving as the Senior Project Engineer to NASA Commercial Development programs will offer you the ability to provide a wide range of engineering and systems engineering, integration services and sustaining engineering support across various LEO platforms and various Commercial LEO Chief Engineer Teams.
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big data integration jobs Title: big data engineer in Houston, TX
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