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The Lead Data Engineer is responsible for orchestrating, deploying, maintaining and scaling cloud infrastructure targeting big data and platform data management (e.g., data warehouses, data lakes) including data access APIs. Prepares and manipulates data using Hadoop or equivalent.
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Job Title: Data Engineer/ Data ArchitectLocation: Corvallis, OR – 5 Days Onsite Role Job Description: At least 8 to 10+ years’ experience in data engineering , AI and ML and Aws/Azure Architect, Design and implement distributed data processing pipelines using Spark, Python, SQL and other tools and languages prevalent in the Big Data/Lakehouse ecosystem.
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Experience with Big Data frameworks (e.g. Hadoop MapReduce, Spark, Hive, Kafka) Expertise with Google Cloud Platform’s distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Extensive expertise with Apache NiFi Java Java Spring Boot microservices AWS (Redshift Athena) and big data technologies. Provide technical expertise in Java programming Spring Boot microservices and big data technologies in an AWS cloud environment (Redshift Athena etc.
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Experience in handling Big Data, IOT Data, and specifically a variety of Big Data file Formats Avro, Parquet, etc. Exposure to Data Lake, Lake House concepts, and technologies like Snowflake, AWS RedShift, or Databricks.
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Big Data Technologies: Hadoop, Spark, Athena, materialized views. Data Visualization: Tableau, Looker, Power BI, Quicksight. Highly experienced Full stack Engineer with expertise in cloud engineering, data engineering, and data warehousing, particularly within the AWS and google cloud ecosystem.
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Apache Hadoop or Apache Spark (for big data processing) Data Warehousing (e.g., AWS Redshift, Google BigQuery) Natural Language Processing (NLP) Tools and Frameworks (e.g., Hugging Face, AWS Comprehend Medical for extracting insights from clinical text data.
$75 an hourRemoteExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Cloud & Big Data Integration: Lead the migration and integration of data systems to cloud environments (AWS, Azure, GCP) and implement big data solutions as needed for advanced analytics and reporting.
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5+ years of experience Data and Analytics Platforms on public clouds and/or Azure such as Databricks, Synapse, Fabric, Snowflake or Big Query. Understanding of Data & AI technologies in context of app development (e.g., SQL and NoSQL Databases, Big Data, Cognitive Service, Machine Learning etc.
$237,500 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The big data architect will support the development of autonomous driving software solutions by playing the role of subject matter expert for the big data systems, underlying data and data products.
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3 years of experience in the past 4 years in working with years of experience in big data technologies such as Apache Hadoop, Apache Spark, or Apache Kafka. SQL Server Lead / Azure Cloud / Big Data Engineer.
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Experience with big data technologies Hadoop, Spark) and cloud platforms AWS, Azure). We are seeking a talented and experienced Data Scientist to join our team onsite at Warner Robins Air Force Base (AFB), GA. This role is integral to harnessing data to support mission-critical decisions in a secure defense environment.
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As a big data engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions—from fraud detection to cancer research to national intelligence.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Utilize Databricks for big data processing and streaming analytics. Experience with big data technologies such as Apache Hadoop, Spark, Kafka, and others. The ideal candidate will have a robust background in big data analytics, data engineering, and cloud computing, with a particular focus on building and optimizing data lakes on AWS. This role is crucial for designing, implementing, and managing advanced data solutions using AWS and Data Lakehouse platforms.
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Data Architecture & Tools: modern cloud data platforms (Snowflake, Databricks, Big Query, RedShift), data analytics tools (Tableau, Looker, Power BI), data programming models (DataFrames, pandas), and AI (Python, R, Jupyter Notebooks, data wrangling, machine learning.
$217,200 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago
big data jobs Company: Innova Solutions in Fernley, Nevada
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