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High proficiency in using Python/Scala, Spark, Hadoop platforms and tools (Hive, Impala, Airflow, NiFi, Scoop), and SQL to build Big Data products & platforms. You will have the opportunity to develop data-driven innovative analytical solutions and identify opportunities to support business and client needs in a quantitative manner and facilitate informed recommendations / decisions through activities like building ML models, automated data pipelines, design data architecture/schema, perform jobs in big data cluster by using different execution engines and program languages such as Hive/Impala, Python, Spark, R, etc.
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Work with big data via hands on data processing and build cutting edge statistical/econometric models. Professional experience working with big data; building and optimizing ‘big data’ data pipelines, architectures, and data sets, to deliver marketing and business strategy for companies as a consultant and or as an internal marketing, business/customer insights on the client side.
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The work involves designing, developing, and implementing data models, index structures, and storage strategies; ingesting/indexing processes and transforming/normalizing data to common standards using log aggregation tools (e.g., Elasticsearch and Splunk); enriching data upon ingest and querying; and creating queries against big data.
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Proficiency in data science tools and languages (e.g., Python, R, SQL) and experience with machine learning frameworks. Expertise in data lake architecture, big data technologies (e.g., Hadoop, Spark), and data engineering practices.
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With in-house Product Design and mechanical engineering through to Front End UX/UI, Big Data, and virtualization, we bring together specialists with the sharpest minds to deliver smart and disruptive solutions to our customers.
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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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Strong programming skills in Python, R, SQL, or other programming languages commonly used in data science. Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.
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Experience with data visualization tools such as Tableau, Power BI, or D3. Mission Technologies is leading the next evolution of national defense - the data evolution - by accelerating a breadth of national security solutions for government and commercial customers.
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Substantial experience operating big data infrastructure in a cloud-based ecosystem (Databricks preferred). Proficient programming skills such as Python, R, SQL, C/C. Experience with leading cloud and data platforms such as AWS, Databricks, Azure, Sagemaker, etc.
$305,300 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience with programming languages such as Python, R, and MATLAB. Knowledge of database management and data visualization tools. Responsible for Qualitative and Quantitative analysis of programs across USSOUTHCOM and its associated commands and partner, responsible for running numbers against MOEs and theater cooperation plans.
Full-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Hands-on familiarity with data engineering and/or ML/AI coding languages and frameworks, such as SQL, python, R, java, scala, js, ts, pytorch, spark, tensorflow, ETL/ELT, LLMs, etc. 8+ years in technical consulting, sales engineering, or similar roles within the data sciences/services, BI, AI/ML, LLM, big data, analytics, and cloud technologies.
$145,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Python, SQL, AWS, GCP, Golang, Hadoop, Snowflake, RDBMS, Kakfa, BI Reporting Tools, And Data Science Toolkits. Big Data Platforms (Apache Spark, Data Bricks, Presto, Amazon EMR.
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Should desirably have knowledge of modeling techniques (logit, GLM, time series, decision trees, random forests, clustering, XGBoost), statistical programming languages (SAS, R, Python, Matlab), big data tools and platforms (Hadoop, Hive, etc.
Full-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Proficiency in data analysis tools and programming languages such as Python, R, SQL, and/or others. Fintech Expertise: Access to expertise in machine learning, data science, big data, and AI, providing opportunities for continuous learning and exposure to cutting-edge technologies.
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Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and cloud `big data¿ technologies.
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