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Provides complete and consistent documentation of data warehouse content in the Caboodle Console to ensure that users can determine what data is available in the warehouse, how this data is defined, and lineage to Epic Clarity.
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Commercial data warehouse/ ETL tools such as, Talend, Informatica, Apache Airflow, etc. Mathematica is seeking a Data Platform Engineer to join the Health Unit’s Health Solutions Insights (HSI) team.
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You will be utilizing Snowflake and/or Databricks tools, cutting-edge DevOps technologies, developing advanced analytics products, and applying data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (GCP, AWS, Azure.
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EBG has an opening for a talented and experienced Lead Data Scientist to join our dynamic team. Experience with big data technologies such as Spark and TensorFlow is a plus. Master's degree or PhD in Data Science, Machine Learning, AI, Computer Science, Statistics, Mathematics, or a related field.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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This position requires:A bachelor’s degree in computer science, business or equivalent experience and eight or more years of experience as a data engineer, with strong proficiency Databricks, and Azure Data Factory.
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Certifications such as Google Cloud Professional Data Engineer and /or Google Cloud Professional Architect. Design and architect scalable, secure, and cost-effective data solutions using GCP services such as BigQuery, Dataflow, Dataproc, Dataprep, Composer, Data Fusion, Data Studio, Cloud SQL, Cloud Functions and Cloud Storage.
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Knowledge of key technologies and processes across data engineering including data integration, data storage (data warehouse, data lakes, etc.) Experience using modern data engineering and data analysis technologies (e.g., Power BI, Tableau, SQL, Python, AWS, Azure) with preferred experience with Power BI, including dashboard and report development.
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What you’ll bring to Circle: 5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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High familiarity with data platforms and applications like Databricks, Jupyter, Snowflake, Airflow, FiveTran, DBT. Proficiency in SQL and experience with data visualization tools like Tableau, Looker, or similar.
$95,000 - $119,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Understand Data warehouse and Data mart models to define manual and automation testing processes for semantic layer designs on enterprise self-service reporting. Vendor certification (Azure Data Engineering, PowerBI certifications, Snowflake Certifications.
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It is one of the core roles within the newly created Forensic Data Analytics Team within the Global Investigations and Digital Forensics Team. This Data Scientist will be part of a multi-disciplinary team that works collaboratively within Legal and jointly with the Information Security, Business Units, and Corporate Services teams to conduct a wide range of business intelligence and investigation support functions.
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Serves as a primary contributor for the Enterprise Data Catalog, Master Data Management Metadata repositories, and manages the health and well-being of the repository using the tool Informatica Axon EDGC Business Process Management workflows.
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Familiar with Informatica Axon, Enterprise Data Catalog (EDC) for data discovery and classification. Our team provides application administration and configuration support of data centric platforms and tools such as Informatica (PowerCenter, AXON, IDQ, EDC), Matillion, Fivetran HRV and Scheduling tools.
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As a Cloud Infrastructure Engineer, you will be responsible for designing, implementing, and managing our data infrastructure on GCP and other cloud providers. Utilize GCP services such as BigQuery, Google Cloud Storage, Dataflow, and data processing and storage.
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data warehouse jobs Title: data engineer Company: Charles Schwab in Austin, TX
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