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Hands on experience with modern cloud data warehouse and engineering for one or more of the following cloud providers - GCP (Big Query, Vertex, Cognitive Services), Snowflake, Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sage maker), Tableau;Possessing a certification(s) in one of the following is a big plus – GCP/AWS/Azure/ data or ML engineering.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Use of tools like Apache Airflow, ADF, or Databricks to orchestrate and schedule data workflows. Direct Client - Sr Lead Data Engineer Apache Spark, Spark Core, Spark SQL, Spark Streaming – Data Bricks Location: Hybrid (Seattle, WA) Length: 12 Months Job description This position contributes to Client success by building enterprise data services for analytic solutions.
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Expertise in Databricks platform, security features, Unity Catalog, and data access control mechanisms. Document the design and implementation of data access control within Databricks. Create detailed design of data access control mechanisms within Databricks using appropriate features.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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ML, NLP, LLM Model Evaluation: Work closely with the other data science team members to develop, validate, and maintain robust evaluation solutions and tools to evaluate model performance, accuracy, consistency, reliability, during development, UAT. Implement model optimizations to improve system efficiency.
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Experience selling one or more of the following: Analytics, Back Office Solutions, Data Governance, Data Management, Data Warehouse, EOD Reporting, Front Office Solutions, Managed Services, Middle Office Solutions, Order Management (OMS), Portfolio Management (PMS), Reconciliation, Regulatory Solution, Reporting, Trade Management, Treasury.
$80,000 - $100,000 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Apply statistical (descriptive, analytical, inferential) analysis and data mining techniques to generate real-world evidence and prediction systems (30%). You'll utilize data mining techniques to identify patterns and trends within the data and use these insights to develop real-world evidence and potentially build predictive models for cancer outcomes.
Part-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Non-traditional device feeds will deliver data to the SIEM architecture (e.g., Human Resources (HR) data, badging information, and physical security devices, etc. Qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.
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This role is focused on migrating data from snowflake to on-prem ODS ecosystem for the purpose of replicating existing downstream (DataStage) data operations and analytics. The backend will be snowflake, and the primary required data movement tool is DataStage.
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The Smithsonian Institution’s Office of Advancement seeks a Data Engineer to serve as a key member of the Advancement Technology Services team as we transform our data management approach.
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Responsibilities: Day to Day Responsibilities:- Real Time Bidding model serving SME.- Internal Tooling SME- Modernizing our CI/CD and IaC deployment and testing procedures- Designing a data pipeline orchestration system- Implementing Snowflake Data Cleanrooms Infrastructure for easy use of our Analysts.
$63 - $73 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience using cloud based PaaS data platforms such as Snowflake and Databricks. As a Senior Database specifical, you will play a pivotal role in driving and shaping Pershing X Trading and Rebalancing data strategy as we start on exciting initiatives to build a highly scalable and incredibly resilient Portfolio Management system in Pershing X space.
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Data Migration and Security:Oversee the migration of financial data from legacy systems to Dynamics GP, ensuring data accuracy and integrity. Collaborate with IT and data security teams to establish and maintain data security and compliance.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Knowledge of Data Warehouses/Lakehouse architectures, Master Data Management, Data Quality Management, Data Integration, and Data Warehouse architecture. Data Integration: Integrate data from various source systems into Informatica's SAS MDM platform through IDMC, performing data profiling, cleansing, and transformation to ensure data quality and integrity.
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Program SCADA system integration includingbut not limited to data acquisition, alarming, HMI interfaces, API calls& SQL databases. To understand more about the data we collect and process as part of your application, please view our Tesla Talent Privacy Notice.
$88,000 - $276,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Position also requires two (2) years of experience with each of the following: scalable data integration (ETL/ELT) pipelines for digital products; building data models in dbt, Snowflake, and Looker; SQL, including writing performant queries on large data sets; Writing data pipeline code; cloud data warehouses, including Snowflake, BigQuery, or Redshift; and Visualization tools including Tableau, or PowerBI.
ExpandApply NowActive JobUpdated 3 days ago
data job Title: genetic counselor Company: 83bar
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