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Through research and development initiatives in our FinLabs we develop solutions for modernization, from Blockchain and Artificial Intelligence to Data Science models, Digital Underwriting, mobile-first applications and more.
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CrowdStrike’s Data Science team is expanding. we are at the exciting intersection of Machine Learning, Artificial Intelligence, and Security and are looking to add a Data Science Manager specializing in machine learning to our growing team.
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Leveraging more than 30 years of experience in life science informatics, we are uniquely positioned to deliver a portfolio of innovative BioPharma knowledge management technologies to streamline the capture, analysis, reporting and sharing of data required to accelerate the next generation of life-changing therapies.
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There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
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Coca-Cola Consolidated is seeking an IT Development Engineer III to join an Center of Support team that provides processes and support to the enterprise in the area of Data Management. 3+ Years of Data Integration using one or more of the following: SSIS, Informatica, Talend, custom Console Apps or APIs.
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5+ year support experience of Big Data technologies in Hadoop ecosystem Hive, HDFS, MapReduce, Spark, Yarn, Kafka, Pig, HBase, Sqoop, Elastic Search, Kerberos. Extensive experience in designing, engineering and managing data lake ingestion, validation, transformation and consumption services leveraging cloud data tools like Hive, Spark, EMR, Glue ETL and Catalog, Snowflake etc.
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You will be helping clients in areas such as (but not limited to) Data Governance, Metadata Management, Data Architecture, Data Modelling, Data Quality, Document and Content Management, Master Data Management, Open Data, Personal Data Protection, Data Security.
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Knowledge of cloud services and their application in data science. The candidate should have expertise in data modeling, SQL, Python, R, data warehousing, big data technologies, data pipeline construction, data quality, cleansing, version control, cloud services, machine learning, feature engineering, deep learning, and natural language processing.
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Leverage cloud platforms (e.g., AWS, Azure, Google Cloud/BQ, Databricks) for scalable and efficient data processing and storage. Data Pipeline Construction - Develop and maintain end-to-end data pipelines for streamlined data processing and analysis.
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Experience with other Data platforms like DBT, Snowflake, DeltaLake, etc. 3+ years of experience working on Spark (RDDs / Data Frames / Dataset API) using Scala/Python to build and maintain complex ETL pipelines.
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As a Senior Azure Data Engineer, you will possess a deep understanding of Azure data services and technologies, including Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Databricks, and Azure SQL Database.
$101,250 - $148,500 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Bachelor's degree in Computer Science, Data Science, Computer Engineering, Information Technology, or a related field. Experience using Modern Data Platforms & Tools; Azure Data Lake, Databricks, Delta Lake.
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Informatica MDM Hub configurations - Data Mappings (Landing, staging and Base Objects), Data validation, Match and Merge rules. Customize MDM Solution, create master data management solution using agile methodology.
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Experience with one or more of the following languages (Python, Scala) and related development tools to support Data Science initiatives. Hands-on Technologist - Experience developing solutions involving data lakes and/or data warehouse on Snowflake/AWS DataBricks/Amazon RedShift using tools such as SSIS, Azure Data Factory, AWS Glue, Matillion, DBT, FiveTran.
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Data Scientist: design, develop, apply statistics, mathematical models, machine learning techniques to create scalable data science solutions for predictive learning, forecasting, optimization using R Shiny across envs including virtual & AWS. Develop monitoring alerts via Unix shell scripts, & Python rest API. Responsible for deep-dive analytics using R, PySpark, Python & develop dashboards using Tableau.
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