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Build high-performing data processing frameworks leveraging Google Cloud Platform and utilizing GCP Services like Big Query, Python, Composer, Dataflow, GKE, Pub-Sub, Cloud Monitoring. As a member of the Data and Analytics organization, you will be responsible for designing, building, and maintaining best-in-class data engineering pipelines aimed at driving best-in-class solutions primarily using Cloud platforms like GCP. You will collaborate with cross-functional teams, including data scientists, analysts, business SME’s and software engineers, to ensure the efficient and reliable processing, storage, and retrieval of data.
$72,100 - $144,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Data Engineer Lead, you will play a crucial role in designing, developing, and maintaining our Advana data infrastructure and systems. Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in leading and managing efficient data processing and analysis.
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Build and increase customer data science workloads and apply the best MLOps to productionize these workloads. As a Data Scientist / ML Engineer, you will be the trusted technical ML expert and work with our data engineering team to architect production-grade ML applications on Databricks.
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PhD or MS degree in Computer Science, Data Science, Statistics, Applied Mathematics, or any other related quantitative fields from an accredited college or university. - Digital & Data Science Group - Global Site & Services & Supply Chain Services (GSSCS) located in listed locations of US and Europe.
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Lead and oversee the implementation, maintenance, and optimization of the Electronic Data Interchange (EDI) program. Must have at least 1-3 years of experience as a Data Technician, Database Developer, or ETL Analysis.
$55,000 - $70,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Using tools such as Snowflake and/or Databricks, they will also work with cutting-edge DevOps technologies, develop advanced analytics products, and apply data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (GCP, AWS, Azure.
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Sidekick is an open source ETL framework for syncing data between SaaS tools (Salesforce, Zendesk, Notion, etc) to vector stores, a necessary step in building GPT powered applications. You ideally have a background in data engineering and should be just as comfortable making architectural decisions as implementing them in code.
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As a lead big data engineer at Booz Allen, you'll use your expertise to lead data engineering activities on some of the most mission-driven projects in the industry. Data Engineer, Lead.
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Responsibilities: Serves as Data Steward dedicated to health care payer Claims data operations & initiatives Works collaboratively with other enterprise and business data stewards to align standards and share best practices; represents Claims data domain in enterprise workgroups and data steward communities of practice Leads Data Governance initiatives and collaborations with business and IT operational stakeholders to: ○ Document, define, maintain, and manage data standards and assets.
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Experience effectively communicating with various partners, stakeholders, or customers on the value of statistical and data science methods to include but not limited to:The strength of models/formulas.
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This is your chance to establish skills in DoD acquisition, program management, business data analysis, and reporting while taking the opportunity to gain finan cia l analysis experience. As a Foreign Military Sales Analyst on our team, you’ll study the creation of a finan cia l management strategy to help our Navy clients succeed.
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5+ years of experience with Distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. 5+ years of experience with data warehousing, including AWS Redshift, MySQL, or Snowflake.
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We are seeking an experienced Lead Data Architect with a proven track record of implementing data solutions within government agencies and leading teams using Agile Scrum methodologies.
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Proficiency in a variety of data analysis tools such as Google Analytics, GTM, Looker Studio, Domo, and a familiarity of digital marketing metrics is required. Create and implement digital data strategy plans aligned with project goals.
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The Technology Lead will design, build, and maintain Cloud Application and Data Solutions. Experience delivering solutions and insights on the Microsoft Azure platform with exposure to Azure Databricks, Azure Synapse, Azure Data Factory, PostgreSQL, Azure SQL DB, Power BI or Azure ADLS Gen2.
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data job Title: data science lead Company: Booz Allen Hamilton
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