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Minimum 5+ years of hands-on experience in data engineering Expertise in building data pipelines and ETL processes using DataBricks, dbt, and Python Extensive experience with PurView a plus.
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Should have in depth understanding on Data Warehousing, Master Data Management (MDM), Data Quality, Data Lineage, Data Modeling, Data Profiling and Data Policy and handled Data Governance programs.
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1 years of experience with data orchestration/ETL tools (Airflow, Nifi), preferred. Basic Qualifications 3 years of relevant data engineering experience. Familiarity with Agile Scrum principles and ceremonies Preferred Qualifications 2 years of work experience implementing and reporting on business key performance indicators in data warehousing environments, required.
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Deep knowledge on AI/ ML solutions and/or RPA solutions and utilized them for solving a variety of outcomes like fraud detection, risk assessment, customer service automation, recommendations, trading, automating data entry, account reconciliation etc.
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Any experience with Azure Data Lake, Azure Data Factory, Azure Synapse / Azure SQL / Azure SQL Managed Instance, Azure Analysis Services, DAX, Databricks, Azure Automation, Azure Key Vault, Azure Logic Apps, Azure AutoML PowerShell, Power BI.
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Would be preferred to have executed end to end implementation/migration of a Data Warehouse and Big Data (Hadoop) project from on prem to GCP (using Google BigQuery, DataFlow, DataProc etc.
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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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It is the only solution that gives supply chain managers and executives end-to-end visibility and control with one data model and one truth, from raw material to last-mile delivery. Experience with data visualization tools such as Power BI, Qlik,Tableau, or similar.
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Stay abreast of the latest advancements in reservoir engineering and data analytics technologies. Experience with Data Visualization Software, such as Power BI or Spotfire preferred. The ideal candidate will have extensive experience in the oil and gas industry and leveraging advanced data analytics techniques.
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Must have: At least one entry-level vendor certification (with non-entry-level preferred) in the Network Security arena (Palo Alto PCNSA/PCNSE preferred, Cisco CCNA/CCNP Security, Juniper JNCISEC/JNCIS-SEC, etc.
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Design business intelligence reports, interactive dashboards and KPI scorecards using Power BI. Use data architecture, data management, data integration, Snowflake Data Cloud, Azure, AWS, DBT, Airflow, Spark, Snowpark, and Python.
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By applying, you consent to your information being transmitted by Jobcase to the Employer, as data controller, through the Employer’s data processor SonicJobs. Participate in collecting data and reporting on neonatal outcomes, specifically those related to breastfeeding.
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We are accepting applications for our very own DoD SkillBridge Fellowship Program supporting the Data Center Operations, Critical Facilities Engineer. DoD Military Skillbridge - Data Center Facility Engineer (HVAC, Mechanical, Electrician, Security Systems)Equinix is the world’s digital infrastructure company, operating 200+ data centers across the globe and providing interconnections to all the key clouds and networks.
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Solve issues of moderate complexity and scope where analysis of situations and data requires a review of a variety of identifiable factors. As an engineer, you will receive general technical direction for all but complex tasks, with more detailed guidance on new assignments: Incident response (to include triage, playbooks, investigation, write-ups, escalations) Forensic analysis Malware analysis Protocol analysis Endpoint protection Data loss prevention Email security Cyber threat intelligence Threat research and creation of compensating controls.
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This individual will perform code reviews, provide cloud optimization techniques optimizing cost and performance, review EDA, feature engineering and overall data science best practices to ensure the outputs from the Data Science team meet best in class standards.
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data entry jobs Title: data specialist review in Dallas, TX
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