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Data Warehouse Architect- Direct Hire; 100% onsite (Dallas TX) POSITION OVERVIEW The Data Warehouse Architect Role involves strategically designing and implementing data warehouses, data marts, and data stores as well as requisite ETL (Extract, Transform, Load) and visualization (reporting) development while ensuring high levels of data availability.
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Experience creating of interactive data visualization with any the following platforms Power BI, Tableau, SAC. Experience designing highly scalable ETL processes with complex data transformations, data formats including error handling and monitoring using tools like Qlik Compose, DBT.
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Proficient in Python/R, PyTorch/TensorFlow, SQL, Big Data and cloud technologies. Bachelors/Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 – 6 years' experience in an analytics related field, Data science, machine learning, optimization models, etc.
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Deliver datasets from onboarding through mapping and automated DQ so they can be handed off to the Data Operations team for DQ maintenance and consumed by research teams and production. Experience in building and designing solutions for data warehouse and experience in working with large data sets in Oracle and Snowflake.
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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire.
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Experience - Minimum of ten (10) years of data experience in any combination of the following: Epic Cogito (Radar, Reporting Workbench, SlicerDicer, Epic Analytics Catalog, and their data warehouses: Clarity, Caboodle, Chronicles) Microsoft Azure cloud/Fabric, Synapse, Purview, Power Products (Power BI, Power Apps, Power Automate, Power Pages.
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The focus is on migrating data and analytical workloads from on-premise systems like SQL Server and SSIS to GCP platforms, including Big Query, IAM, GCS, Dataflow, Composer, Data Proc, etc.
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6+ years of data engineering experience, at peer firms utilizing agile methods and modern SDLC processes to deliver quality technological solutions in a transparent, reliable way. Provide data stewardship to other team members and to Data Operations as they review datasets for completeness and quality.
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Experience with modern data tools: Snowflake, BigQuery, dbt, Airflow, dagster, Fivetran etc. Experience with modern data tools: Snowflake , BigQuery, dbt, Airflow, dagster, Fivetran etc.
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This person will collaborate with data scientists within the Precision Medicine Team and clinicians within Texas Oncology and US Oncology Research for the identification of patients who may be eligible for enrollment in clinical trials.
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Key data sources are eSystems used within the Quality Management System such as Trackwise, onePLM, SLMS, Quickbase and QARAD. Primary tools used by the team include Azure Data Factory, Databricks, Azure Dev Ops and Power Platform.
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Candidate should know how to utilize Graphs Datasets (Neo4J or Knowledge graph Data sets) in “Data Science graphs use cases and Algorithms” (clustering, community detection, DFS, BFS, GNN and CNN and Deep Learning, etc.
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Houlihan Lokey is the No. 1 investment bank for global M&A transactions under $1 billion, the No. 1 M&A advisor for the past eight consecutive years in the U.S., the No. 1 global restructuring advisor for the past nine consecutive years, and the No. 1 global M&A fairness opinion advisor over the past 25 years, all based on number of transactions and according to data provided by Refinitiv.
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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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Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.
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Title: data Company: Pinnacle Marketing Group in Dallas, TX
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