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Ensure compliance with data privacy and security regulations in all data science and machine learning initiatives. Degree within Computer Science, Data Engineering, or a related field.
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You may possess a vast background (additional certificates help support your deep security knowledge (CISSP, GSEC, CISA, CISM, CRISC, MCSD), comprising of functional experience working in a global hybrid cloud environment, including AWS, Azure, O365, and GCP. Experience with Data Governance or Data Compliance Standards is valuable.
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Python, SQL, and spark expertise, along with core competencies required to ship high quality data pipelines and data tools fast. You will work closely with the Senior Data Architect who oversees our infrastructure (AWS, Databricks, Tableau) and data pipeline development; the Fundraising Data Manager who will turn these datasets into dashboards and insights; and fundraising stakeholders who will use these insights to raise more money for recipients.
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Modeling, quantitative analysis, treasury, interest rate risk, process improvement, finance, data modeling, data strategy, Risk assessment, balance sheet analysis, process reengineering, liquidity, IRR, LCR, Liquidity coverage ratio.
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Has expert knowledge of standard data science and statistical techniquesHas expert knowledge of two of causal inference techniques, Gen AI (LLM) implementation, or contextual banditsExperience implementing scalable systems (Google Cloud preferred.
$185,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Disney Direct-To-Consumer (DTC) Sports Analytics team is looking for a Data Analyst who will help to measure, understand, and take action on key rights deals and audience behavior that impacts the sports portfolio of The Walt Disney Company.
$93,400 - $131,300 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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You will analyze, design, develop, test, and perform ongoing maintenance to build high quality data pipelines that drive platform delivery. o Database Management System: Storing, organizing, managing, and delivering data using relational DBs, NoSQL DBs, Graph DBs, and data warehouse technologies including AWS Redshift and Snowflake.
$105,100 - $156,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Guardian is seeking a Senior Data Architect Lead to join the team responsible for establishing and maintaining an adaptable data infrastructure to provide access to high quality, consistent data in an easy and convenient manner to all authorized end users and applications of Guardian and its subsidiaries.
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Day to day you’ll be building governed datasets to feed analytical reports and data science models, optimizing and creating new ETL pipelines, or building data models in Looker. Experience with data transformation orchestration tools like dbt or Dataform.
$152,500 - $205,500Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Support Associates up to Managers on retrieving, compiling, and formatting of large volumes of data (ETL), Requirements: Bachelor’s degree in Marketing, Advertising, Economics, Computer Science, Information Systems, Business Analytics, or related field.
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Experience with cloud data services such as Redshift, Relational database services (RDS), Snowflake and Databricks. Hands on experience in data engineering desired with extensive knowledge of SQL and PySpark, on Databricks Platform.
$114,080 - $187,415 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Strong understanding of data engineering concepts and experience with tools such as SQL, NoSQL databases, and data processing frameworks (e.g., Apache Spark). Knowledge of IBM Master Data Management (MDM) implementationKnowledge of metadata-driven enterprise reporting platforms.
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Architect, design, and implement robust, secure, scalable, and high-quality data platforms, ensuring the availability, integrity, and confidentiality of the information. You have worked with Dagster/Airflow, BigQuery, GCP, Terraform, Kubernetes, sklearn, keras/TensorFlow/pytorch, dbt, data modeling, Python/Pandas data frameworks, and scalable technical concepts/solutions.
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Proficiency in programming languages commonly used in data engineering, such as Python, Java, Scala, or SQL. Experience with data processing frameworks and tools like Apache Spark (including Databricks), and Hadoop and knowledge of database technologies like SQL databases (e.g., MySQL, PostgreSQL.
$170,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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5+ years of experience in data engineering, with a strong focus on AWS, Redshift, and Snowflake. Build and manage data warehouses using AWS, Redshift, and Snowflake. Hands-on experience with dbt for data modeling and transformations.
$160,000 - $161,000 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago
data job Title: high science teacher in Newark, NJ
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