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Apply your skills with Databricks, using Python, and big data streaming to pioneer client technologies and data. Hands-on experience with Big Data technologies, including Spark, Hadoop, Cassandra, and others.
$185,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with Big Data processing frameworks such as EMR, Athena and Big Query. 3+ years of experience with Big Data systems, including Hadoop, Spark. Experience developing data pipelines using Apache Spark, Databricks.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Familiarity with data engineering concepts and tools such as data pipelines, ETL processes, SQL, and big data technologies (e.g., Apache Spark, Hadoop). We are seeking a skilled Sr. Martech Software Engineer with expertise in marketing technology platforms (CRM or CDP) such as Adobe Experience Platform (AEP) or similar (e.g. Salesforce, Dynamics, etc), coupled with strong skills in building custom solutions on AWS, proficiency in API development using languages like Python or Java, and some experience in data engineering.
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Ability to quickly understand and become conversant in emerging technologies and concepts including artificial intelligence, big data, and blockchain. We don't just dream big, we act on it - through teamwork, dedication, and resilience.
Full-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Collaborate with business areas and project teams to elicit, identify, prioritize, and document data visualization and business intelligence requirements. IDS is seeking a motivated and proactive individual to fulfill the role of Business Data Analyst to work Army acquisition data and provide analytical support to the Office of the Deputy for Acquisition and Systems Management (DASM) within the Assistant Secretary of the Army for Acquisition, Logistics and Technology (ASA(ALT.
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Business Computers Management Consulting Group, LLC (BCMC) is a small business specializing in Information Technology (IT), Cybersecurity, Information Assurance (IA), SOA, Big Data Management, Program Management, and more for Federal, State, and Local agencies.
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The Data Scientist is responsible for designing, developing, maintaining, and deploying machine learning, simulation, and optimization models using Databricks and Spark (PySpark). Knowledge of additional data science methodologies beyond vanilla machine learning: simulation methodologies such as system dynamics (SD), agent-based modeling (ABM), and discrete event simulation (DES); deep learning; the application of ML / DL to unstructured data such as text, audio, images, and video; and optimization.
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Design, build, and deploy data engineering pipelines that extracts, transforms raw data into analytics base tables to support downstream machine learning models using languages such as Python, R and SQL.
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Experience with Google Big Query and creating data ingestion pipelines from multiple online and offline sources. The role will focus on supporting data collection, reporting and experimentation practices of the client to drive incremental project initiatives through thought leadership.
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Prior experience creating data-related software applications for very large data sets (big data federal environments preferred) and proficiency with data software problem solving is a must for this position.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Preferred: o Professional certification (CISA, CIA, CISM) highly preferred o Big four experience o JDE application testing experience Come join a winning team with a Fortune 500 company! Subject areas include: o IT Risk Assessment o IT Security (Logical, Network, Physical) o Change Management (Software, Hardware) o BCP / Disaster Recovery / Data availability o Software Acquisition and Development o Sarbanes-Oxley Compliance o General Controls and Application Controls.
Full-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Proficient understanding of relational (e.g. Oracle, SQL Server, PostgreSQL) and Big Data distributed structures (Hadoop/Spark) in order to source data effectively. Presenting complex analysis results tailored to different audiences (e.g. technical, manager, executive) in a highly consumable and actionable form including the use of data visualizations.
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Leverage big data technologies to efficiently process and analyze very large datasets, similar to those encountered in a federal agency. - Demonstrated experience working with very large datasets and leveraging big data technologies to process and analyze data efficiently.
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Experience with scaling data engineering across distributed computing clusters, including Apache Nifi, Spark, Dask, Airflow, or Luigi. You'll grow your skills in data science, AI, Machine Learning model design, Operationalizing AI/ML, predictive modeling, and shape the future of analytics through researching peer-reviewed scholarly papers and code frameworks.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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From a bowl of half sours to our two-dollar bills, we empower each team member to deliver Big Sky Moments in ways that are natural and effortless to Ted’s and our guests. We live by “The Big Sky Spirit” which is our cultural compass and is evident in everything that we do.
$19 an hourPart-timeExpandApply NowActive JobUpdated Today
big data jobs Title: project manager in Arlington, IN, Germany
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