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6 years of experience must include: Ab initio, Informatica, Data Stage; Teradata, IBM DB2, Cognos, Oracle PL SQL; Autosys, Control-M, Erwin, XML, HTML, CSS, Unix Shell Scripts; Data Analysis, Data Processing, Code Optimization, Performance tuning; Automating Business Process and Models; Microsoft Visio, Web Services, Crystal Reports; and HP Quality Center, ALM, VSS, EME, XSD. At least 3 years must include: Hadoop, HDFS, Big Data, Hive, Spark.
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Active Google Cloud Data Engineer Certification Hands on in designing, building and operationalizing large-scale enterprise data solutions and applications using one or more of GCP data and analytics services in combination with 3rd parties - Python, Pyspark, Spark, Hive, Cloud DataProc, Cloud Dataflow, Apache Beam/ composer, Big Table, Cloud BigQuery, Cloud PubSub, Cloud storage Cloud Functions & Github.
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Proficiency in Databricks, Azure services (e.g., Azure Data Lake Storage, Azure Synapse Analytics), and Spark for big data processing and analytics. Stay up-to-date with emerging technologies and best practices in data engineering, cloud computing, and big data analytics.
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Familiarity with data privacy standards, methodologies, and best practicesPractical hands-on experience with data technologies and Cloud Platform like Hadoop, Hive, Redshift, Big Query, Snowflake, Databricks, GCP and Azure.
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Knowledge of big data analytics: supervised/unsupervised machine learning, neural networks, deep learning, streaming & batch analytics. We anticipate, lead, and believe that listening is where learning begins.
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Participate in relevant governance committees and working groups as a delegate of the Head of Technology, including the Operational Risk Committee, Technology Executive Working Group, Information Security & Data Management Committee, Architectural Review Board, AI Evaluation Forum.
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Develop, maintain, and optimize data infrastructure using Delta Lake, MLflow, and Databricks SQL to enhance data management, processing, and analytics. Design and implement scalable data pipelines using tools like Apache Kafka or Apache Airflow to facilitate real-time data processing and batch data workflows.
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Lead OxyChem HES&S data management information system initiatives and drive continuous improvement of existing HES&S processes and procedures. Assemble and analyze Health, Environmental, Safety, Security, Process Safety, Product Stewardship, Medical and Compliance Assurance data to identify appropriate metrics, trends, and exceptions to compete at world class HES&S performance.
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As a Data Privacy Senior Consultant, you'll be at the forefront of privacy technology solutions. Work alongside practice leaders and experienced privacy technology professionals gaining industry-leading insights into data privacy.
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Chief Executive Officer (CEO) Qualifications:– Proven experience as a CEO, CIO, CTO, COO, CFO, President, Senior VP who is experienced in running P&L business unit of big US company. Keywords: Dallas TX Jobs, Chief Executive Officer, CEO, Chief Technology Officer, CTO, Chief Operations Officer, COO, Chief Information Officer, CIO, Chief Financial Officer, CFO, President, Senior Vice President, P&L Statements, Profit and Loss Statements, Mergers and Acquisitions, M&A, Financial, Business Administration, International Business Experience, Technical Services, Texas Recruiters, IT Jobs, Texas RecruitingLooking to hire for similar positions in Dallas, TX or in other cities.
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Data Engineer - REMOTE WORK - 58673. Data Pipeline Development: Design, build, and maintain scalable ETL processes using Snowflake and Talend ETL. Snowflake Expertise: Leverage Snowflake's capabilities to optimize data storage, retrieval, and performance, including designing schemas, managing data warehousing, and ensuring data security.
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Note: Data Annotation payment is made via PayPal. We will never ask for any money from you. Fluent in English● A bachelor's degree (completed or in progress)● Excellent writing and grammar skills● Strong research and fact-checking skills to ensure accuracy and originality● Previous experience as a Freelance Writer, Content Writer, Editor, Copywriter, Copy Editor, or those with experience in journalism and/or media is preferred but not required.
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Technical Acumen:Perform model training and validation using various types of machine learning techniques on structured/unstructured data, including imagery, text and graphs. Technical Oversight:Provide technical guidance on model training and validation using various machine learning techniques on structured/unstructured data, including imagery, text, and graphs.
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As a Lead Data Engineer, you will work closely with the Data Architect and other stakeholders to understand their data needs and provide solutions to meet those needs. Lead a team of data engineers and ensure that all data engineering projects are completed on time and within budget.
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By applying, you consent to your information being transmitted by Jobcase to the Employer, as data controller, through the Employers data processor SonicJobs. These providers work in a specialty clinic, and may specialize in Palliative Care, Pulmonary, Infectious Disease, Endocrinology, Gastroenterology, Cardiology, Dermatology, Urology, Nephrology, Neurology, Hematology, Oncology, Allergy and Immunology, Rheumatology or other medical specialty.
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big data jobs Title: technology lead in Dallas, TX
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