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Write spark jobs efficiently with algorithms used for big data processing. Experience with big data sets minimum Terabyte scale, they're in the Petabyte range. The Core Data & Services for the Data organization within the DEET organization is in search of a Senior Data Engineer.
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Hands-on experience with big data technologies and cloud (Databricks / Spark, Azure/AWS/GCP). Senior Data Scientist. As a data scientist for PRS, you will develop predictive modeling / machine learning solutions to complex business problems and create value to the business.
$101,000 - $172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Big Data implementation – using Open Source and NoSQL technologies such as Databricks, Spark, Spark Streaming, Kafka, Storm, Zeppelin, Scala, Software development, Hadoop Hive, Hadoop Map Reduce, Hadoop Clusters, Cosmos DB, Azure Data Lake Storage (ADLS.
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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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Advanced data analytics – designing and building solutions using technologies such as Azure Data Factory, Azure Data Lake, HD Insights, SQL DWH, Stream Analytics, Machine Learning, R Server, Synapse, Azure Machine Learning (AML), Azure Kubernetes Service (AKS) for model deployments, Vector and Retrieval-Augmented Generation (RAG) implementation.
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Business intelligence combining knowledge of SSIS/SSAS/SSRS/Power BI technologies with a deep understanding of data structures/data models to design, develop, and tune BI solutions and reports.
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Big data tools like Spark, Kafka, Snowflake, Databricks, etc. Data visualization tool like Looker, Tableau, etc. Data pipeline orchestration tools like Airflow, Dagster, Luigi, etc.
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Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query) Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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Experience with big data analytics and reporting tool: SAS, SQL, Tableau, MS Access. Assist Actuarial with data analytics as needed. Experience with big data analytics and reporting tool: SAS, SQL, Tableau, MS Access.
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BS, MS, or PhD degree in Computer Science, Data Science, Economics, Statistics, Mathematics, Physics, Computational Biology or equivalent experience. You have a strong background in data science, machine learning, graph mining, and graphical modeling algorithms.
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Requirements: Requires a Master’s in Statistics, Computer Science, Data Science, Machine Learning, Applied Math, Operations Research, Economics, or a related field plus two (2) years of experience as a Data Scientist, Data Engineer, or other occupation/position/job title involving research and data analysis.
$163,238 - $178,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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3+ years of AML/KYC/OFAC compliance experience working at a bank, broker dealer, or Big 4 consulting firm. Assisting in reviewing and recommending improvements for internal processes, including forms/checklists, data collection methods, analyses and reporting.
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Experience with analytic data platforms (e.g., Databricks, Snowflake, Palantir) strongly preferred. We are seeking a Principal Product Manager, Data Products to join the Product Management team.
$146,100 - $241,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are looking for a passionate Software Engineer, Big-Data Engineer, Machine-Learning Engineer, Full-stack Engineer, or UI/UX Engineer, who can contribute and make a difference in any of the different components of our Knowledge Graph Platform.
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As a Senior Data Engineer Consultant, you have established yourself as a technical and functional expert among your peers and clients. Tools and Technologies : Proficiency in data movement and integration tools like SQL, dbt, Qlik-Talend, AWS Lambda, AWS Glue, Informatica, Python, and Java. Strong knowledge of SQL, relational, and MPP databases (e.g., Snowflake, PostgreSQL, Redshift.
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data big jobs Title: scientist senior associate in New York, NY
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