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The Lead Data Engineer is responsible for orchestrating, deploying, maintaining and scaling cloud infrastructure targeting big data and platform data management (e.g., data warehouses, data lakes) including data access APIs. Prepares and manipulates data using Hadoop or equivalent.
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Lead data collection, management, and storage projects using tools like Snowflake, Amazon Redshift, Google BigQuery, Azure Synapse Analytics, Fivetran, and Talend. What You’ll Do: Serve as a strategic thought partner to C-suite executives on data initiatives, understanding client personas (CFO, CIO, CHRO, CAO) and advising on harnessing data to support strategic goals.
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Data Management & Automation: Knowledge with data systems like Snowflake or Microsoft Azure and proficient in querying and managing data using SQL or tools like Alteryx and Power Automate / Query.
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Experience with designing Glue jobs using both Python Shell and PySpark Experience with SNS/SQL implementation techniques, event triggering (e.g., EventBridge) and Step Functions Understanding of logging in AWS Experience with database development and data migration (Postgres and Redshift) Experience in building/accessing Data Lakes using Glue/Athena/Redshift and building data access APIs Implementation of database/data lake granular access security, and access integration with Okta/Cognito M2.
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Experience with and understanding of logging in AWS. Experience with database development and data migration (Postgres and Redshift) Experience building/accessing Data Lakes using Glue/Athena/Redshift and building data access APIs. Preferred Experience: GovCloud development experience.
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Knowledge and experience with data analytics and data visualization tools and systems (e.g., PowerBI, Alteryx, Dataiku, QlikView, Tableau); experience with writing or editing SQL, VBA , Python and/or other programming languages; advanced Excel knowledge.
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Experience managing vulnerabilities in both on-premises systems and in cloud environments, (e.g. Amazon Web Services, Microsoft Azure, Google Cloud, and Data Centers). Experience analyzing data and identifying vulnerabilities.
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Experiencewith data pipelines and ETL/ELT processes – Boomi Experience is a plusExperiencewith managing data workflows at scale – Apache Airflow is a plusExcellentproblem-solving and analytical skills.
$135,000 - $175,000 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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MySQL, PostgreSQL, Mongo DB, RDS, DB2), Big Data systems (ex. Created Big Data pipelines (ETL) from on-premises to Data Factories, Data Lakes, and Cloud Storage such as EBS or S3.
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The Professional Practice Excellence RN Case Reviewer supports the Professional Practice Committee (PPC) through the management of data and information needed by the Committee for the performance of Ongoing Professional Practice Evaluation (OPPE) and Focused Professional Practice Evaluation (FPPE) in accordance with approved policies and the PPC Charter.
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As the Enterprise Data Architect and a skilled Data Cloud Engineer, you bring a unique blend of expertise in designing and developing innovative solutions for our data ecosystem.
$180,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. Data Science, Decision Analytics, Data Mining, Information Sciences, Information Technology, Quantitative Analysis, Operations Research, Operations Analytics, MBAs with Analytical Focus, Engineering, Computer Science, Statistics, Data Management, Decision Science, Quantitative Science, Mathematics, Information Systems, Industrial Engineering, Artificial Intelligence, Computer Vision, Machine Learning, Natural Language Processing.
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Center 1 (19052), United States of America, McLean, VirginiaSr Lead Data Platform Engineer, Shopping (Remote-Eligible) We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies.
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Experience analyzing data and identifying vulnerabilities, extending beyond running a scan to analyzing systems, network configurations, web applications, and architectural diagrams, as well as identifying top vulnerabilities such as those listed in the OWASP "Top Ten" and understanding how those vulnerabilities work at the programmatic level.
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Job Description: Day to Day Responsibilities: As a Machine Learning Operations System Administrator, you will support a major program advancing the state of the art in mission-focused big data analytics and predictive analytics.
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data job Title: big architect Company: Wells Fargo in Mclean, VA
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