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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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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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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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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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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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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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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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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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Audit Manager (AML Data Quality (DQ) Audit Team) Charlotte, North Carolina /Dallas, Texas / Plano, Texas (Hybrid 3 days in office/ 2 days remote) ARC Group is currently looking for an Audit Manager (AML Data Quality (DQ) Audit Team) for a Fortune 500 company we are representing in the Banking/Financial Industry.
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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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Key Responsibilities:Administer and Maintain HRIS Workday : Ensure data quality and system efficiency. Teams: Guarantee data integrity. Comply with regulatory requirements and execute data uploads and audits.
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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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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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data job Title: data specialist review in Dallas, TX
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