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A proven track record in building and maintaining big data platforms for streaming and batch data processing, data engineering, building backend systems and APIs. Solid background in the fundamentals of computer science, distributed systems, concurrency, resiliency, caching, large scale data processing, database schema design and data warehousing.
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Experienced with open source big data processing technologies such as Airflow, Hive, Flink, Spark, Kafka, Storm, etcKnowledgeable with Data Science tools and frameworks. Collaborate with cross-functional teams to understand data needs and deliver solutionsStay updated with the latest industry trends and advancements in big data technologies, particularly in healthcare applications, and proactively suggest improvements to enhance data processing processes and tools.
$140,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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We are seeking a hardworking, performance-savvy, engineer to build out the big data platform and services, which power many of these customer features. + Solid understanding of data-modeling and data-architecture optimized for big data patterns, such as efficient storage and query on HDFS.
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Big Data Tools: Kubernetes (K8s), Hadoop, Spark, Postgres, Databricks, Azure cloud offerings including (Azure Synapse, ADLS, Azure Functions) We are seeking a highly skilled and experienced Data Engineer to join our HR Data and Analytics Team. As an Experienced Data Engineer, you will play a crucial role in enabling analytics across the HR organization, empowering data-driven decision-making.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Data Migration, Integration, API’s development, Data Streaming ( Batch and continuous) and scheduling. Design and implement Data Migration and Data Integration across cloud and hybrid environments.
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Develop novel and accurate NLP algorithms and systems, leveraging Deep Learning and Machine Learning on big data resources. Experience with the development of enterprise level AI, Machine Learning, and Deep Learning platform involving big data management and GPU compute.
InternExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Minimum Qualifications- 5+ years of hands-on experience in developing, implementing, and validating Transaction Monitoring programs- Bachelor's degree or above in Computer Science/Statistics/Mathematics or other related majors- Proficient in data processing and analytics in big data environment using SQL/Hive/Spark etc- Mastery of at least one prevalent programming language for data science, such as Python, Java, or Scala.
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Your qualifications You have production experience with building and operating a DataLake, Data Warehouse or Data LakeHousesYou have a taste for big data streaming, storage and processing using open source technologiesYou can demonstrate your understanding of what it means to treat data as a productYou know what are Data Mashes and Data Fabrics and what is critical to make sure for them to bring valueYou are able to learn and adapt.
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Work with cross functional teams to establish Data governance, Data pipelining standards, client facing reporting enhancements and other analytical or data needs including integration with BI toolsAs a Staff Data Engineer, you can look forward to:● Being the shepherd in establishing Snowflake Governance across several business units.
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GRAIL is seeking a Staff Data Engineer to join our team to support the growing data needs of GRAIL’s clinical and research activities. Extensive experience with relational databases, data modeling principles, data pipeline tools and workflow engines (, SQL, DBT, Apache Airflow, AWS GLUE, Spark.
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Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)Primary Location.
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With leadership from big tech like Google, Apple, Microsoft, and hyper growth startups like Nest, Waymo, TaskRabbit, and Casper, we're motivated to make the world a happier and healthier place for modern families.
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Manages the extraction, transformation, and loading of monthly spend data from OneStream for use with the Ivalua eProcurement platform and the Carbon Accounting projects. Responsible for mastering, remastering and un-mastering supplier data in the Boomi Master Data Management system using data from implemented ERPs and Dun & Bradstreet.
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What you’ll be doing:As a senior business solution architect (BSA) for master data management (MDM) & data quality management (DQM) focused on end-to-end engineering & manufacturing (Engg. & Mfg.) and product lifecycle management (PLM) processes, you will play a critical role in enabling data architecture and governance to help drive standardized and sustainable enterprise data footprint.
$148,000 - $230,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Staying on top of the cutting-edge data science techniques and trends, implementing the technologies and ensuring higher quality products on projects. Creative and Innovative Thinking– Find creative and innovative solutions for complex data science, software and business issues and apply these solutions to resolve problems.
Full-timeExpandApply NowActive JobUpdated 4 days ago
big data jobs Title: devops engineer in Mountain View, CA
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