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Responsibilities: As the IT Data Architect at Schneider Electric's Sustainability Business, you will play a crucial role in shaping the organization's data strategy, ensuring it aligns seamlessly with its business objectives and digital transformation initiatives, to harness the power of data as a strategic asset.
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Knowledge of Data Streaming products such as Kafka, Confluent Platform, Azure Eventhub, Azure Streaming Analytics, Azure Data Factory, Azure Synapse, Databricks, Google BigQuery and Google PubSub, SAP Data Intelligence and SAP DataSphere.
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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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Hands-on experience with Databricks and Snowflake for data engineering and analytics. Implement data pipelines and ETL processes using Databricks and Snowflake. Required background/ Skillsets: Prior working experience in Data bricks Snowflake Python Data science background Proficiency in Python for software development and scripting.
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Extract data from Teradata and Google BigQuery, creating derived datasets for KPI monitoring. Experience with pulling data from data warehouses like Teradata and BigQuery. The ideal candidate will extract and process data from Teradata, Google BigQuery, and other databases, delivering actionable insights.
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Support Design Pipelines: Inform the generation of data and designs in the upstream pipeline and assist the transition of ML models from development to deployment in the downstream pipeline. We are seeking a highly skilled and innovative Staff Data Scientist with a background in physics or a related field.
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Visualization Tools: Tableau (preferred), QlikView, Power BI Data Quality: Understanding of data quality best practices and experience in implementing data governance principles.
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The Senior Data Architect with Snowflake experience is a specialized role responsible for designing and implementing data solutions on Azure cloud platform, particularly leveraging Snowflake and DBT Labs. This role involves collaborating with clients and internal teams to architect, deploy, and optimize data solutions that meet business requirements while ensuring scalability, security, and performance.
$169,212 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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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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Some experience with data visualization tools such as Tableau, Power BI or Looker. Familiarity with data warehousing concepts and technologies, such as Google BigQuery, Amazon Redshift, or Snowflake, and basic experience in writing and optimizing SQL queries for these platforms.
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Leverage knowledge of healthcare data formats (e.g., HL7, FHIR, EDI X12) and regulations (HIPAA, PHI) to architect compliant solutions for the storage, movement, and security of sensitive healthcare data.
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Create standardized mapping and data products to support business units Perform GIS data input using coordinate geometry, GPS data conversion and file translations from disparate sources Experience with GPS data collection process; field data collection methods, survey techniques and knowledge of accuracy standards.
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By applying, you consent to your information being transmitted by GenZJobs to the Employer, as data controller, through the Employer’s 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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O9 Solutions is looking for an experienced, talented, and motivated Lead Data Scientist to come join our global team in North Ameria or EMEA. As part of this Data Science team, you will be involved in the end-to-end delivery of our supply chain planning products and building advanced forecasting models with Predictive Analytics, Machine Learning and AI with algorithms such as R, and Python.
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And motivated individual to fill the position of Health, Environmental, Safety, and Security (HES&S) Data Analyst within our OxyChem Corporate HES&S team based in Dallas, TX. Lead OxyChem HES&S data management information system initiatives and drive continuous improvement of existing HES&S processes and procedures.
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data job Title: architect bi in Highland Park, TX
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