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Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupiter Notebooks will be essential in ensuring efficient data processing and analysis. Job Responsibilities:- Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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We're looking for a data architecture Senior Manager like you to solve complex challenges and deliver leading-edge solutions for cloud-based enterprise data architectures that support business operations, advanced analytics, business intelligence and data science initiatives within the federal government.
$227,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Proven expertise in AI Services, Cloud Services, Cybersecurity, IT Operations, Program Management, Network Engineering and Administration, Disaster Recovery, Data Center Operations, Cloud Engineering, Data Architecture, and Data Engineering domains.
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An HR Data Analyst may work on various projects related to talent acquisition, performance management, employee engagement, diversity and inclusion, compensation and benefits, learning and development, and more.
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Proven experience as a Data Modeling SME or similar role with a focus on Databricks, Tableau, GA4, Looker, and PowerBI. Proficiency in Python for developing and implementing analytics solutions.
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The Data Analyst evaluates a range of Monitor and Combat Trafficking in Persons’ (J/TIP) data sources and uses data analytics and data visualization techniques to help the J/TIP office to better explain the complex issue of human trafficking and the impacts of the office’s anti-trafficking work to the public and other stakeholders.
$125,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with cloud-based data warehouses such as Snowflake, BigQuery, or Redshift. Familiarity with data visualization tools like Tableau, Looker, or Power BI. Knowledge, Skills, and Abilities: Strong background in data modeling, data warehousing, and data quality assurance.
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As a Data Solutions Engineer, you'll design and implement complex IT systems and solutions. Significant experience dealing with open-source, publicly available information (PAI) data sources and/or forensic media (i.e., DOMEX.
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Familiarity with modern ETL integration solutions (SSIS, Ab Initio, Datastage, Informatica, Azure Data. Create source-to-target mapping documents to transform the source data into the target warehouse and test final transformations.
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Data Engineer, Senior. Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. Experience with data warehousing using AWS Redshift, MySQL, or Snowflake.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with cloud data warehouse solutions such as Snowflake. Advanced understanding of data security and governance protocols. 4+ years of professional experience in data software development, programming languages and developing with big data technologies.
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Current Master's - Data Science Internship - Summer 2025. If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey.
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As a Senior Data Science and Analytics Engineer in AbbVie Business Technology Solutions (BTS), youll have opportunities to contribute to the digital transformation of a leading biopharma company, helping to create solutions that impact patients and their communities for the better.
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Cancer data quality measures reporting to the cancer registry manager. Certified Tumor Registrar, Part Time, Monday – Friday, 10 am- 230pm, no weekends Purpose of Job This job aims to have a HUH-employed CTR to perform all cancer registry data abstracts, follow-ups, and cancer quality data reporting, cover tumor board conferences, and perform case findings from various EMR sources to support our cancer program’s initiatives.
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Familiarity/experience with various data formats including database specific (Oracle, SQL Server, DB2, Quickbase), text formats(CSV, XML) and Binary(Parquet, AVRO) Strong knowledge of Extraction, Transformation and Loading (ETL) processes using frameworks like Azure Data Factory, Synapse, Databricks, Informatica by gathering requirements from the stake holders or analyzing the existing code and perform enhancements or new development.
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data job Title: manager senior program Company: Marriott in Bethesda, MD
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