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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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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.
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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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The candidate will work on a team with members that have a deep understanding of various marketing automation tools and modules, including Salesforce Marketing Cloud Engagement (ExactTarget), Salesforce Intelligence (Datorama), Salesforce Personalization (Interaction Studio), Salesforce Data Cloud, Adobe Experience Manager (AEM) Digital Asset and Content Management, and integration of AEM with Salesforce Marketing Cloud.
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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.
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At least 2 years of experience in Cyber Operations, Data Loss Prevention (DLP), Security Operations Center, or Insider Threat. You have superior knowledge of Data Loss Prevention (DLP), data analytics, incident management, or investigative programs and the ability to identify risks and advise on solutions and mitigations.
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Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. As a big data engineer at Booz Allen, you’ll implement data engineering activities on some of the most mission-driven projects in the industry.
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Data Engineer - REMOTE. Your responsibilities will include supporting agile engineering practices such as delivering concise functionality, embracing Test Driven Development, Continuous Integration/Continuous Deployment, and Infrastructure as Code. Collaborating closely with UX/UI Designers, DevSecOps Engineers, Full Stack Software Engineers, and Product Owners, you'll contribute to creating robust data solutions.
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Design, develop, and maintain scalable data pipelines using Python / R and BigQuery. You will be leading development and optimization efforts for all marketing and revenue growth related data pipelines, which then need to be integrated into Looker Studio for advanced data visualization.
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Possess a basic understanding of the mechanical, electrical, and fire life safety systems used in a data center environment including, but not limited to the following: electrical distribution and layout, Transformers, PLCs, Generators, Switchgear, UPS systems, STS’, ATS’ PDU’s, Chilled Water Systems, CRAC/CRAH’s, Pre-Action Sprinkler Systems.
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Experience with clinical data ontologies (e.g., SNOMED, ICD-10, HPO) or medical data models (OMOP). Knowledge of cloud computing platforms, particularly for data engineering and analytics (e.g., AWS, Azure, Google Cloud.
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Create, maintain, document, and manage a stable database environment for production and development systems including Process Control, ERP, HR, data collection, and miscellaneous applications. Develop strategies for data acquisitions, backups, archive recovery, and general implementation of a database for testing and production use.
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Senior Data Scientist-Remote. Have a minimum of 2 years of data scientist and technical hands-on coding experience. The Senior Data Scientist will work closely with other data scientists and analytics engineers as part of a cloud analytics team that will be responsible for curating and analyzing large sets of business and operations data of customers across several industry verticals.
$104,000 - $150,000 a yearTemporaryRemoteExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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You will be utilizing data visualization using Google Data Studio and will be responsible for data engineering and architecture using BigQuery. Responsible for data engineering and architecture using BigQuery.
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data job Company: Small Town Pharmacy 1 2
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