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2+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience. As a Language Data Scientist, you will start by diving deep into a couple of critical projects for Bedrock services to drive these projects forward.
$206,800 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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You have experience working with a cloud-based data warehouse to access data (Snowflake, Redshift, Big Table, etc) Own data integrations between Pigment and other primary sources, including Looker, Netsuite, Salesforce, Paylocity and Snowflake.
$138,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with big data analytics and reporting tool: SAS, SQL, Tableau, MS Access. Assist Actuarial with data analytics as needed. Experience with big data analytics and reporting tool: SAS, SQL, Tableau, MS Access.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Demonstrated experience with big data processing systems and distributed computing technology such as Databricks, Spark, Sagemaker, Kafka, etc. Manages and influences the data pipeline and analysis approaches, uses different technologies, big data preparations, programming and loading as well as initial exploration in the process of searching and finding data patterns.
$146,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Optimize Databricks jobs for performance and scalability to handle big data workloads. 5+ years with Data Warehouse Architecture, hands-on experience with Databricks platform. Implement best practices for data management, security, and governance within the Databricks environment.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Experience with big data technologies such as Hadoop, Spark, and Kafka, and cloud-based data platforms such as Amazon Redshift, Google BigQuery, or Azure Synapse Analytics. Proficiency in big data technologies, cloud computing, machine learning, and AI.Strong leadership skills with experience in building, leading, and mentoring high-performing data engineering and analytics teams.
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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets.
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Demonstrated experience in Relational databases, Structured Query Language (SQL), Big Data Hadoop, Hive Query Language (HQL), and Python or R Scripting, Data visualization tools (Good to have), Strong experience and understanding of Software Development Lifecycle (SDLC), and Data Analytics tools/techniques.
$203,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Utilize technologies like Apache Spark for big data processing and analytics. In-depth understanding of the LoanIQ data model, APIs, and workflows. Our client, a top tier Management & Strategy Consulting firm if looking for a qualified Senior Full Stack Developer - Corporate Lending & Loan Trading (TS03) for a top-tier Client.
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Job Req ID: 24925 About Supermicro: Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Within AWS, we’re focused on bringing that knowledge and capability to customers through three layers of the AI stack: 1) Frameworks and Infrastructure with tools like Pytorch, TensorFlow, 2) Machine Learning Platforms such as Amazon SageMaker for data scientists, and, 3) API-driven Services like Amazon Bedrock, Amazon Lex, Amazon Kendra, Amazon Transcribe, Amazon Comprehend, and Amazon Rekognition to quickly add intelligence to applications with simple API calls.
Full-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Knowledge of cloud / big data software stack model and knowledge of provisioning / deployment of open standard software stacks. Understanding of modern network technology: Cisco Nexus, Arista, Quanta, SFP+ Twinax, Fiber Optics, Cisco CDP.
Full-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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In HADOOP , you'll be given an introduction to BIG DATA, APACHE HADOOP, HADOOP ECOSYSTEM, CLOUDERA QUICKSTART VM along with core concepts of the Hadoop framework including MapReduce, HIVE, PIG, SQOOP, FLUME, HBASE, OOZIE.
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6+ years of experience in data engineering working with big data systems that can process and transform data at scale. Experience developing with data SaaS and BI tooling (Fivetran, Looker, dbt, Databricks, Apache Airflow, etc.
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Proficient in big data ecosystem programming languages (e.g. Python, Ruby, Java, Scala). Strong mathematical background with strong knowledge in at least one of the following fields: statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing.
$136,000 a yearFull-timeExpandApply NowActive JobUpdated 22 days ago
big data jobs in Secaucus, NJ
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Building a candidate pipeline through a great internship program for local college students and recent graduates at local universities is a great and cost-effective way to attract and retain top talent. By offering meaningful and impactful work experiences, regular feedback, coaching, and mentorship, you can create a positive internship experience that will make your organization a sought-after destination for future employees. This not only benefits the organization in the short-term but also in the long-term, as you'll have a pool of well-trained and experienced candidates who may be interested in full-time employment once they graduate. Furthermore, building relationships with local universities and college students can increase brand awareness and build a positive reputation for your organization in the local community.