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Experience in building Distributed Big Data Solutions including ingestion, caching, processing, consumption, logging & monitoring. Experience with business intelligence tools, Enterprise Reporting and data visualization tools (PowerBI, Tableau, Qlik etc.
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As a Sr. Big Data Engineer, you will work with a variety of talented teammates and be a driving force in technical initiatives that will accelerate analytics at Client. Big Data Engineer.
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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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Lead the design and delivery of data models, reporting systems, data automation systems, dashboards and performance metrics that support key business operational decisions. Experience with DBT, Airflow or similar analytics workflow tools is a big plus.
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Proactively seek input from team members across different disciplines to enhance the quality and effectiveness of data solutions, recognizing that diverse perspectives lead to better outcomes.
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Big Bear Engine Company is looking for an experienced automotive/industrial sales representative to field incoming engine and parts calls, assist customers in completing purchases and interface with vendors to finalize transactions.
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The Technology Lead will design, build, and maintain Cloud Application and Data Solutions. The Technology & Systems department participates in designing each of our new data center building’s networking infrastructure, including but not limited to diverse pathways connecting to carriers, meet-me room hosting (rack, cabs, ladders, cross connect panels.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience working with machine learning frameworks (e.g. scikit-learn, XGBoost, PyTorch, TensorFlow) and distributed big-data tools (e.g. Spark) is a plus. Design and develop systems that support the creation of large scale, big-data driven, machine learning models integrated into our product.
$110,000 - $142,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with topics related to big data engineering such as data streaming, pipeline optimization, deployment, and data security. As a Sr. Technical Curriculum Developer at Databricks, you will apply your expertise in data engineering and curriculum development to lead the design, development, and maintenance of the data engineering curriculum.
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Conduct in-depth risk assessments for Big Technology companies to identify potential risks in the areas of content and activity moderation, consumer data protection, competition, policies and other mechanisms to counter harm, responsible product/service design, data governance and protection and trust and safety and develop and execute controls testing plans, assessing the adequacy and effectiveness of internal controls in mitigating identified risks.
Full-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Garner key insights from data and communicate these findings to key stakeholders to help make data-driven decisions; key technologies include SQL, Python, R, Tableau, Microsoft, and Google suite of tools.
$63,150 - $90,000 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Nurture and enhance our relationships with Field Managers, leveraging both quantitative and qualitative insights from data sources across the enterprise. Collect, model, analyze, report, and present large amounts of data with meticulous attention to detail.
$63,150 - $90,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Strong skills in languages such as Python, R, SQL or Scala, alongside experience of using modern and traditional data technologies including: ElasticSearch, MongoDB, PostgreSQL, mySQL/mariaDB, Oracle, SQL Server, Hadoop, Kafka, Splunk/ELK or other logging and monitoring tools, BI and Data Warehousing solutions and ETL and migration technologies.
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Proficient with one or more big data & new data technologies such as DBT, NIFI, Airflow, Kafka. Build the infrastructure required for optimal extraction, transformation and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
$100,000 - $120,000 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Expert-level proficiency in big data SQL dialects like Hive, Presto, or similar, encompassing window functions, table creation, CTEs, and advanced joins. Ability to work closely with data engineering, ensuring data pipeline integrity and understanding the semantics of existing tables in an AWS data lake.
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big data jobs Title: technology lead in Denver, CO
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