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Data Engineer with Databricks, Delta Lake, ETL, Spark, Dataiku, Data Migration, SAP (e.g., SAP HANA, SAP BW), SharePoint, Python, Pyspark Exp with Databricks Certification. Work closely with data engineers and data architects to integrate Databricks Delta Lake data into Dataiku for downstream data processing and analytics.
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Machine Learning | Physics | Embedded Systems | Signal Processing | Data Analysis | Nvidia | Electrical Engineering | Cloud Computing | Cuda | TensorRT | Radio Frequency | Transmission Processing | Linux OS | Pytorch | Python | Causal Inference.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Solid experience with big data technologies (Apache Spark, Hadoop, Kafka) and cloud services (AWS, Azure) related to data processing and storage. Work within cloud environments like AWS or Azure to leverage services including but not limited to EC2, RDS, S3, Lambda, and Azure Data Lake for efficient data handling and processing.
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Advanced Data Processing: Experience using data processing technologies such as Apache Spark or Kafka Workflow: Good knowledge of orchestration and scheduling tools (e.g. Apache Airflow) Reporting: Experience with data reporting (e.g. Microstrategy, Tableau, Looker) and data cataloging tools (e.g. Alation.
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Design, implement, and maintain complex ETL pipelines using tools such as Apache Spark, Apache Airflow, and AWS Glue for both batch and near real-time data processing. Expert knowledge of distributed data processing frameworks like Apache Spark, Hadoop, or Flink.
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Design and implement FPGA architectures to efficiently process radar data and perform digital signal processing tasks. Experience with real-time data processing and optimization techniques.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience with data processing frameworks/tools/platform such as Databricks, Apache Spark, Kafka, Flink, AWS cloud services for batch processing, batch streaming and streaming. Templatize existing Databricks CLI codes to manage Databricks platform as code for AIML data pipelines (batch processing, batch streaming and streaming) and model serving endpoints.
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Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Airflow, Redshift, Databricks, EMR. Experience with data warehouse platforms such as Redshift, Databricks, Big Query, Snowflake.
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Experience with AWS and Databricks or similar data engineering platforms is a plus, particularly in the context of large-scale data processing and analytics. Exposure to Databricks or similar data engineering platforms is a plus, especially in the context of data processing and analytics.
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We are seeking an experienced Lead Data Engineer with strong expertise in Snowflake, DBT, Google Cloud Platform (GCP), BigQuery, and Data Modeling. BigQuery: Advanced knowledge of BigQuery for large-scale data processing and querying.
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This role requires expertise in PySpark, Airflow, DBT, and Databricks to drive high-performance data processing and analytics. Optimize Databricks for seamless data integration and high-performance analytics.
$210,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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As a Data Engineer, you will provide advanced prototype solutions that resolve dataflow and processing issues and enable systemic improvements. We are seeking an experienced Data Engineer (DataBricks) to join our team.
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The Data Scientist will work collaboratively with cross-functional teams, applying their technical skills to develop and optimize ML models for applications such as natural language processing, computer vision, and predictive analytics.
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As an R&D Engineer focused on data algorithms, you will bridge our in-lab technology development efforts with engineering improved data processing algorithms. You will primarily be responsible for designing, building, iteratively improving, and fully automating the data pipelines and algorithms we use for processing raw flow cytometry data from our highly multiplexed bead-based assays into quantitative protein measurements.
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We are seeking a GCP Architect Engineer with expertise in document processing technologies and a deep understanding of Google Cloud Platform (GCP) services, particularly Vertex DB. Experience with natural language processing (NLP) techniques, optical character recognition (OCR) , and data extraction from unstructured documents.
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data processing engineer jobs Title: data engineer sr Company: Envision Llc in Pelham, New Hampshire
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