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As a Sr. Big Data Engineer, you will work with a variety of talented teammates and be a driving force in technical initiatives that will accelerate analytics at Client. Big Data Engineer.
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This position is for an innovative senior data engineer who is a self-driven and results-oriented individual who is not afraid of big challenges but is also able to focus on excellent end user support, and successfully drive programs from start to finish.
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2+ years working Extensive experience in Big Data Engineering 1+ years working experience in Python-based data integration and pipeline development. 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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LabCorp is seeking a dedicated and motivated individual to join their Specimen Accessioning team in San Diego, CA. The Specimen Accessioner will be responsible for performing specimen accessioning, sample sorting and data entry in a fast-paced, high-throughput environment according to established standard operating procedures.
$17.5 - $20 an hourFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Candidates must have a strong technical background with experience in one or more of the following: acoustic, radar, and/or sonar signal processing, algorithm development, detection and estimation theory, wave propagation, numerical methods, experimental data analysis, prototype development, and/or communication theory.
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2+ years experience on Big data pipelines/DAG tools like Airflow, dbt is required. The duties of the Senior Analytics Engineer will comprise data discovery, data modeling, data engineering, and data governance, thus serving as a full-stack analytics engineer leveraging the modern data stack.
$90,000 - $144,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with other data analysis tools such as Tableau, Qlik, Databricks, or Jira. Experience in data transformation and data warehousing. Tool Proficiency: Utilize additional tools like Tableau, Qlik, Databricks, or Jira as needed to support broader data initiatives.
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Hands-on experience with big data application development and/or with cloud data warehousing (e.g. Spark, Redshift, Snowflake, Azure SQL DW, BigQuery) Experience across any other of the top cloud data platform vendors, including Google, Microsoft Azure, and Snowflake is a plus.
$105,000 - $186,000 a yearFull-timeExpandUpdated Yesterday - UpvoteDownvoteShare Job
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MS, or PhD in Biostatistics, Bioinformatics, Computational Biology, Bioengineering, Data Science, Applied Math, Physics, or Life Science related scientific field. This role will focus on solving unstructured problems and deriving insights from metabolomics, proteomics, genomics, and clinical data.
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In-depth knowledge of all relevant clinical informatics software and systems, and of the highly-complex concepts, principles, policies, methodologies, techniques, best practices, regulations, and standards practices involved with patient care and electronic medical data management in the UC health care system.
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Proficiency in data analytics and visualization software and tools such as Alteryx, Tableau, Google Looker, SQL or similar platforms, with the ability to apply them within the context of an audit and special projects.
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Builds the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using ‘big data’ technologies and tools. Data is central to ICW Group’s business strategy and digital evolution, and the Data Engineer ensures optimal data delivery architecture is consistent throughout all projects.
$113,668 - $203,468 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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We are seeking a Principal Scientist to propel our data science, helping to build world-class platform capabilities in analytics and machine learning supporting biological discovery and drug development programs.
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Experience with deploying analytics workloads on a platform as a service (PaaS) and software as a service (SaaS), including AWS EMR, Redshift, SageMaker, Azure Databricks, SQL Data Warehouse, or Machine Learning service.
$58,300 - $133,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Senior Data Engineer on the MMA National IT Data and Analytics Team, we will count on you to develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks and Confluent.
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big data jobs Title: big data software engineer Company: Bayer in San Diego, CA
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