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Expertise in Python and SQL, with working experience in Apache Spark, Databricks, or other big data systems. Distinct experience in advanced probability, statistics, machine learning, big data processing, analytics, and pipelining using Spark is essential, as well as experience in deep learning, generative AI, LLMs, and NLP. This role involves developing data science solutions, mentoring and imparting knowledge about machine learning and data concepts and techniques, as well as driving adoption of standards, processes, and tools to achieve high operational efficiency.
$242,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Big Data & Streaming: 2+ years using big data and/or streaming technologies (e.g. Apache Spark, Apache Kafka, Apache Flink) Data: Good understanding of data & data processing tools (e.g. Spark, Kafka, SQL), of relational database technologies and of analytics databases (e.g. Redshift, Vertica, Snowflake.
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Apache Hadoop or Apache Spark (for big data processing) Data Warehousing (e.g., AWS Redshift, Google BigQuery) Natural Language Processing (NLP) Tools and Frameworks (e.g., Hugging Face, AWS Comprehend Medical for extracting insights from clinical text data.
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CDS Visual is looking for a Data Engineer with experience in data transformations. Working with Architect and BA, analyze Product Data specifications provided in Spreadsheets and transform those into DB tables for consumption in various CDS platforms.
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As part of the Data & Software Engineering (DSE) Team, you will be responsible for developing, curating, and maintaining data assets that enable our scientists to make timely, informed, and critical decisions.
$210,120 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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We founded and sold multiple companies before building Zing. We’re driven, ambitious, thoughtful, curious, and eager to build a world where great decisions are informed by data for everybody at a company – no statistics degree, desktop, or big budget required.
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We’re helping patients get the best care possible by working on digital health experience, analyzing big data to streamline the delivery of care, and reaching out to medically complex patients to better understand their needs.
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Demonstrated experience with big data processing systems and distributed computing technology such as Databricks, Spark, Sagemaker, Kafka, Tidal/Airflow, etc. Manage and influence the data pipeline and analysis approaches, uses different technologies, big data preparations, programming and loading and initial exploration in the process of searching and finding data patterns.
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We are looking to speak to Big Data Architects or developers, or in fact, anyone who has legitimately been through 1 full life cycle using any Cloudera product to drive Big Data Strategies in an organization.
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The successful candidate will be responsible for generating and processing single-cell, spatial, and functional genomics data, as well as supporting standard immunoprofiling activities such as cell culture and flow cytometry.
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The scientist will work on a team with deep expertise in computational biology, data science, genomics, and pharma/biotech partnerships – with the unified goal of deriving maximal value from Caris’ data for external and internal research efforts to advance cancer care.
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Broad technical skills including data modeling, SQL, databases, ETL/ELT, scripting, and commercial cloud service offerings (e.g. Azure, AWS, Databricks, Snowflake). The relevant infrastructure will include elements such as an enterprise data catalog, data governance (including conventions and standards), data quality, master data management, application integration, data exchange, ETL/ELT, data modeling, and related components.
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Computational methods Data analysis software such as Stata, R, SPSS, SAS, etc. Understanding of data analysis software from both the command line and graphical user interface, including open source statistics packages such as R and commercial packages such as SAS, STATA, SPSS.
$117,150 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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What you will be responsible forDevelop/ Build and enhance data pipelines using Python, Spark based data engineering solutions (Databricks), and SQL (AWS Redshift). Hands on development in Python, PL/SQL, SQL, Shell Scripting, AutoSys. Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions.
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Knoledge in Databricks, PowerBI, programing languages including SQL, Python and PySpark, data principles including data pipeline, streaming data, data storage, ETL, data integration, database design Leadership (Vision, strategy and business alignment, people management, communication, influencing others, managing change.
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big data jobs Title: big data software Company: Apex Systems in Waltham, MA
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