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Senior Experience in designing, building and operationalizing large-scale enterprise data solutions and applications using one or more of GCP data and analytics services in combination with 3rd parties - Spark, Hive, Databrick, Cloud DataProc, Cloud Dataflow, Apache Beam composer, Big Table, Cloud BigQuery, Cloud PubSub, Cloud storage Cloud Functions & Github.
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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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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 strong background in big data analytics, data engineering, and cloud computing, with a focus on building and optimizing data lakes on AWS. The Cloud Big Data Expert plays a crucial role in designing, implementing, and managing advanced data solutions using both AWS and Data Lakehouse platforms.
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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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Experience in Data Engineering tools such as Talend, SAP BODS, Python, PySpark, AWS S3, Glue, Athena, EMR, Kafka or similar tools. Support GRC (Governance, Risk, Compliance) aspects of data management.
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Possess deep technical expertise in Java programming, Spring Boot microservices, and big data technologies in the AWS cloud environment (Redshift, Athena, etc. Extensive Expertise with Apache NiFi, JAVA and JAVA Spring boot Microservices, AWS, Red Shift, Athena and Big Data technologies.
$62 an hourFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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At least 5-7 years of experience with managing and transforming big data in excess of 1 billion rows, data analytics and insights within the music industry, preferably using AI / ML modeling data analysis tools and techniques to drive significant change in an organization.
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We are seeking a talented AWS DevOps/MLOps Lead to develop platforms for big data and data science on AWS. As models, apps, and data pipelines are created and operationalized, the bigdata and data science team requires engineers with understanding of cloud native technology to develop, manage, automate, and facilitate the operational capabilities of the big data and data science team.
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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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This role requires a deep understanding of big data technologies, particularly Apache Spark, as well as expertise in data engineering and analytics. Proven experience as a Technical Lead with a focus on Databricks and big data technologies.
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As a Data Scientist, reporting into the Head of Data & Strategy at TRKKN North America (NA), you’ll focus on building scalable machine learning and AI products to help evaluate and optimize the business impact of our clients’ marketing investment.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Act as Data Science Subject Matter Expert (SME) in the delivery and development of machine learning and AI products. As a catalyst for innovative digital marketing ideas, what excites us at TRKKN is using a data-driven approach to take our clients’ business to the next level.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Design tech infrastructure and data pipelines (ETL, data automation, data querying, etc.) Data Scientist at TRKKN. Working as a leader within TRKKN globally, you will contribute directly to company growth goals by faithfully managing and executing robust and complex data science and engineering projects.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated Today - 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. Utilize ETL tools and frameworks (e.g., Apache Airflow, Talend) to automate data workflows, ensuring efficient data integration and timely availability of data for analytics.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In this role, you will be responsible for designing, developing, and implementing big data solutions using Azure Databricks. Proficiency in programming languages such as Python, Scala, or SQL.Experience with big data technologies and data warehousing concepts.
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big data jobs Company: Vinfen in Schuyler, Nebraska
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