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Specialized training in Data Engineering, Data Science, Machine Learning, Big Data Platforms (Spark, Kafka, Hadoop, H2O, etc.) Knowledge of open-source application stack commonly used in data science workflows (Pandas, Spark, Sci-kit Learn, TensorFlow, Keras, etc.
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Developing and optimizing Spark-based data processing applications on the DataBricks platform. Experience with Python and Spark in DataBricks required. Vestcom is a standalone business unit of Avery Dennison, a Fortune 500 leader in materials science and packaging materials.
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Troubleshooting and debugging data-related issues on the DataBricks platform. Integrating DataBricks with other data storage and processing systems. Building and maintaining data pipelines and workflows using DataBricks.
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Analytics - Data Lake solutions, Big Data, Hadoop - MapReduce, Apache Spark. Due to rapid growth, Oracle Government Defense and Intelligence (GDI) is seeking several Pre-Sales Solution Engineers that have a passion for cloud concepts, and system integration, and cloud migrations that can support customer facing engagements along with several internal Oracle sales efforts.
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Experience in AWS components including: Lambda, Kinesis/Firehose, Airflow, Glue,Spark, EC2, SageMaker, S3, NoSQL database and API Gateway. Expertise architecting and developing solutions in AWS, Databricks and Snowflake (data engineering.
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Well versed with Hadoop, Spark, Cloud, Python/PySpark and Java, Streaming, Kafka, Backend. MUST HAVE: Hadoop, Spark, Cloud, Python/PySpark and Java, Streaming, Kafka, Backend experience to be considered.
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4+ years of experience in data validation or complex data intensive analysis that utilizes (big) data manipulation and processing techniques (SQL, MySQL, Hadoop, Spark etc) to ensure (connected) datasets are of high quality and therefore fit for analysis/reporting purposes.
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Proficiency in programming languages such as Python, R, or SQL, and experience working with big data platforms and tools (e.g., Hadoop, Spark). Proficiency in programming languages such as Python, R, or SQL, and experience working with big data platforms and tools (e.g., Hadoop, Spark.
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Be the spark that brightens days and ignite your career with TTEC's award-winning employment experience. As a Quality Assurance Specialist working in Austin, TX, you'll be a part of bringing humanity to business.
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Expertise in open source data science technologies such as Python, R, Spark, SQL. Proficiency in Google Cloud Platform (GCP) services relevant to machine learning and AI, such as AI Platform, BigQuery, Dataflow, and Tensorflow.
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Fuse's innovation culture and modern product development teams power the evolution of our commercial products and spark the creation of new businesses and products. Experience in the Design and implementation of AI/ML models and solutions using Google Cloud Platform technologies, including but not limited to Vertex AI , BigQuery, AI Platform, TensorFlow Extended (TFX), Dataflow, and Compute Engine.
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Knowledge of cloud-based technologies (e.g., AWS, Azure, Google Cloud) and big data platforms (e.g., Hadoop, Spark) is a plus. Experience with BI tools such as Tableau, Power BI, or Looker, including dashboard design and report development.
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Ensuring data security and compliance with data governance policies. Experience with Terraform is highly desirable. The hiring [base salary / wage rate] range above represents what Avery Dennison reasonably expects to pay for this position as of the date of this posting.
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Expert in at least two of the following program languages (SAS, Python, R, Spark, and NoSql) Experience with Snowflake or other cloud-based data warehouse platforms such as Redshift and/or BigQuery.
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Avery Dennison reserves the right to modify this information at any time, subject to applicable law. Vestcom is the industry leader in technology-driven shelf-edge solutions for Retailers and CPGs. Our data-integrated media solutions drive sales and loyalty, engaging shoppers where it matters most – the point of decision.
$74,470 - $109,223 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
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