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As a Senior Lead Engineer in Finance tech you will be responsible for working collaboratively across Finance, Capital One Lines of Business and Enterprise Functions to develop patterns, playbooks and tools to support standards, create and review target data models in support of Finance and Enterprise goals.
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Comfort working as both a data analyst and an backend engineer when needed. Hands-on experience with database systems (e.g. SQL, NoSQL, vector, search) and data warehousing solutions (e.g. Snowflake, Redshift, BigQuery.
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Charles River Laboratories: Data Engineer. 2+ years of experience with Azure Data Factory, Azure Data Lake Gen2, Azure Databricks, Blob Storage, Azure SQL Database, Azure App Service, and Azure functions.
$125,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Center 3 (19075), United States of America, McLean, VirginiaSenior Lead Data Engineer. As a Capital One Senior Lead Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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Mentor and guide junior data engineers in the team Drive and implement automation to empower the organization to scale efficiently and with flexibility Keep up to date with new technologies and methodologies related to data engineering and apply them to improve the data platform Requirements: Bachelor or equivalent 1+ years working Experience in AWS Redshift, Databricks, BigQuery, Oracle, or Graph databases.
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3+ years experience developing ETL workflows as a data analytics engineer, data engineer, or data analyst. [Full Time] Senior Data Analytics Engineer at Vouch (United States) | BEAMSTART Jobs Senior Data Analytics Engineer Vouch United States.
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This Data Engineer will work directly with the Division of Hematology, Department of Pediatrics and the Service Line Director for the UCSF Benioff Children's Cancer, Blood Disorders, and Cellular Therapies Service Line.
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Data Platform architecture, system design, and platform engineering of Azure cloud infrastructure, ADLS Gen2, ADF, Event Hub, Kafka, Databricks, SQL Server and Snowflake. Experience with data engineering, analytics tools, data modeling, and visualization platforms (e.g., Power BI) is a plus.
$137,500 - $224,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Senior Data Platform Engineer, AWS / Airflow. Proven experience as a data platform engineer, with a focus on AWS cloud platform. AWS certifications (e.g., AWS Certified Data Analytics, AWS Certified DevOps Engineer) are a plus.
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Also as the Principal Data Engineer, you will lead design and development of enhanced data pipeline services. Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Lambda, Kafka, Airflow, Redshift, S3, Glue, and EMR.
$226,000 - $361,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Design and engineer performant, high-reliability systems to handle petabytes of data. Design and build infrastructure for optimal extraction, transformation and loading of data from various data sources (e.g., AWS tooling, Databricks, DBT, Snowflake, Temporal, and SQL technologies.
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The Data Engineer is primarily responsible for participating in the design, development, and implementation of solutions for the data warehouse. Cerner, Meditech, CPSI, Allscripts, EPIC, McKesson, NextGen data integration experience a plus.
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Function as a subject matter expert in multiple service areas of data security and operations – Data Loss Prevention (DLP), data minimization, data discovery, cloud data protection, Privileged Access Management (PAM), data privacy, data classification and rights management, key and certificate management, data encryption, data access governance, etc.
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This position is for a Cloud Data engineer with a background in Python, Pyspark, SQL and data warehousing for enterprise level systems. Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake.
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A minimum of 7 years' demonstrated ability as a Data Engineer, with a solid focus on Google BigQuery, dbt or relevant experience. Google Cloud Professional Data Engineer certification.
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Title: data engineer Company: Mckinsey Company
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