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RDBMS, OpenTelemetry, Observability, Promscale, Technology, PostgreSQL, SQL, Data Historian, Geospatial Data, Time-Series Data, Databases, IoT, Sensor Data, Metrics, Developer Community, Software Development, Open Source, Software, and Data Management.
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Contribute to building open-source test frameworks for simulated streaming data scenarios on public datasets. Our primary developer offering is an ultra-performant Data Processing Framework (unified streaming + batch) with a Python API, distributed Rust engine, and capabilities for data source integration & transformation at scale (Kafka, S3, databases/CDC.
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Expertise in Python, PyTorch, and open-source data processing and visualization packages, collaborative development skills using readable, reproducible, efficient code and version control systems (e.g. Git), familiarity with Unix shell and use of virtualized working environments (e.g. Docker.
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Key Roles and Responsibilities As a Sr. Big Data Software Engineer, you will:Produce batch and real time data pipelines for our network and NLP based use cases for our data scientists and other developersDevelop deep domain expertise and opportunities to expand your role into additional facets of data insights including modeling, extensive cloud-based environment architecting, and software development.
$157,286 - $215,800 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Big Data Platforms (Apache Spark, Presto, Amazon EMR) Python, SQL, AWS, GCP, Golang, Hadoop, Snowflake, RDBMS, Kakfa, BI reporting tools, and Data Science toolkits. Cloud Data Warehouses (Amazon Redshift, Snowflake, Google BigQuery.
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Familiarity with AutoCAD and graphic design software (Adobe Photoshop and Illustrator) , analyzing and visualizing data in Tableau or PowerBI , or using other mapping and open-source GIS applications are also desirable.
$150ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Develop data, analytic, and data science models using Python, PySpark, Large Language Models (LLM) algorithms, and working with other big data tools such as AutoML, BigQuery(BQ), BQML, DataPrep and Jupyter Notebook.
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Leverage big data in support of an enterprise scale Medical Device Cybersecurity program spanning Risk Management, Cyber Digital Transformation, Threat Management, Network Security, End Point Security, IT Controls, Security Operations and Identity and Data Management.
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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.
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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.
$150ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. At least 1 year of experience in big data technologies.
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Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Experience with Salesforce, Looker (Data-visualization equivalent) and Snowflake (SQL equivalent.
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TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution. Partners rely on our insights and trust us to help solve all problems - both big and small.
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Two years of full-time paid experience as a database architect or database administrator in the information technology industry designing, building, operationalizing, securing, monitoring, and maintaining Google Cloud Platform or comparable cloud computing platforms using applicable data infrastructure such as Google Cloud Storage, Google BigQuery, Google CloudSQL, and Google Cloud Run for data processing.
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Experience in Python, Spark, Scala, or R, using open source frameworks (for example: scikit learn, TensorFlow, Pytorch) These technologies may include artificial intelligence, machine learning, statistical techniques, mixed integer linear programs, reporting/big data analysis, dashboarding, data integration, and other heuristics/algorithms.
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big data open source jobs Title: data scientist Company: Absc Absolute Business Solutions Corp in Phenix-city, Alabama
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