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Experience of implementing Amazon EMR or Big Data technologies like Hadoop, Spark, Presto, Hive will be a plus Prior domain experience of Life Insurance, Annuity or Financial Services is a plus AWS Certifications are considered a strong plus Excellent verbal and written communication skills.
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Expertise in big data technologies like Hadoop, Apache Spark (Scala preferred), Apache Hive, or similar frameworks on the cloud (GCP preferred, AWS, Azure etc.) You will i dentif y possible options to address business problems within one's discipline through analytics, big data analytics, and automation.
$143,000 - $286,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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As a big data engineer at Booz Allen, you’ll implement data engineering activities on some of the most mission-driven projects in the industry. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions—from fraud detection to cancer research to national intelligence.
$73,100 - $166,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The successful candidate will teach introductory and upper-level courses in Data Science such as Data Curation, Data Modeling, Data Management, Data Mining, Big Data, Data Analysis, Machine Learning, Data Visualization, Computational Thinking for Problem Solving, Information and Data Security and Privacy, Information and Data Quality, Information Retrieval, and Data Science courses in the candidate's area of expertise.
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Familiar with big data technologies (e.g. Snowkflake, Databricks, AWS Redshift) Demonstrated experience with developing data strategy, policies, and procedures, as well as successfully executing programs that meet or exceed expectations in a dynamic environment; experience creating tools and capabilities to assist with data discovery & collaboration, ensure data quality, and to load, clean, enrich, manage, and share data and metadata from a variety of sources.
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Utilize Databricks for big data processing, analytics, and machine learning workflows. You must be passionate about data engineering, possess a solid background in Azure and Databricks, and thrive in a collaborative and innovative environment.
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Our tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization. 3+ years of big data development experience with technical stacks like Spark, Flink, Singlestore, Kafka, Nifi and AWS big data technologies.
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Build next-gen cloud based big data infrastructure for batch and streaming data applications, and continuously improve performance, scalability and availability. This engineering group focuses on big data infrastructure, operational data, audience solution, inventory forecasting and full funnel measurements as a foundation layer for addressable Ad Platforms.
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Plant monitoring and care during vegetative and flowering phase: trimming and staking; big leafing and pruning; plant care, watering and feeding; plant monitoring and climate control; pest and disease control; inventory data input.
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Experience with DBT, Airflow or similar analytics workflow tools is a big plus. Experience using data science tools like scikit-learn, pandas, numpy, XGBoost, TensorFlow. Coalition is looking for a data scientist to join our rapidly growing data science team to solve underwriting challenges.
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Proficiency in infrastructure as code (IAC) using Terraform for AWS and Snowflake is a big plus. Design, build, and maintain data pipelines that enable the extraction, transformation, and loading (ETL) of data from various sources into Snowflake data warehouses.
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Experience with big data technologies such as Apache Spark. Utilize Microsoft Azure services and tools to build and manage data solutions, including but not limited to Azure Data Factory, Azure SQL Database, Azure Databricks, and Azure Synapse Analytics.
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Advanced Analytics - Applied Econometrics, Advanced Calculus, Statistical Methods, Data Visualization, Decision Analytics & Optimization, ML, Big Data, Social Network Analytics. Techniques: Statistical Analysis, Visualization, Optimization, Machine Learning, Big Data, Data Warehouse, NLP.
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Certificate in business analytics, data mining, or statistical analysis, Statistical programming languages (for example, SAS, R) Drive the adoption of data science-driven mechanisms and machine learning models to continuously evaluate and improve catalog data quality.
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Ensure the continuous improvement of data quality and completeness across Walmart's omni-business. Accurate and timely market data is critical to protecting our "Save Money, Live Better" promise, operating at low cost, and helping customers make purchase decisions.
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big data jobs Title: data specialist Company: Omnicell
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