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The Staff Pad is partnering with a healthcare solutions company that is seeking a Sterile Processing Manager in Cook County, Chicago IL. We are seeking a dedicated Sterile Processing Manager to support the efficient and safe operation of our sterile processing department in Cook County, Chicago.
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More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
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The college includes programs in mathematics, psychology, physics and astrophysics, environmental science and studies, chemistry and biochemistry, biology, neuroscience, health sciences, speech language pathology, occupational therapy, and nursing.
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Experience with building stream-processing systems, using solutions such as Kafka, Storm or Spark-Streaming. Experience using big data technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, pySpark.
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This Senior Environmental Attorney will perform a key litigation role advancing innovative and successful environmental programs by first-chairing natural resources protection litigation and helping to lead policy advocacy campaigns.
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Candidates must have experience with advanced MS Word processing, MS Excel or Spreadsheets, MS Access and MS PowerPoint; must be an adept user of Internet, e-mail and other office automation systems.
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As a Data Science intern on our team, you'll be working on various algorithms and using Natural Language Processing (NLP) methods to work on some of our most interesting problems using expertly curated datasets.
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Experience designing and building highly available, distributed systems of data extraction, ingestion, normalization and processing of large data sets in real time as well as batch, that will be used across engineering teams using orchestration frameworks like Airflow, KubeFlow or other pipeline tools.
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Own onboarding and lifecycle of multiple clients (Ex: Understanding contract language, cloud environments, Network Infrastructure, product lifecycles, technical documentation, workstation clean up, etc.
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As a Sr. Software Engineer for our Data Platform Engineering team you will join skilled Scala engineers and core database developers responsible for developing hosted cloud analytics infrastructure (Apache Spark-based), distributed SQL processing frameworks, proprietary data science platforms, and core database optimization.
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Strong programming skills in languages such as Python, Java, or Scala, with experience in data processing frameworks like Apache Spark or Apache Flink. Data Processing Frameworks: Lead the implementation and optimization of data processing frameworks and technologies, such as Apache Hadoop, Apache Spark, and Apache Flink, to enable efficient data processing and analysis.
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Balancing the nimble spirit of a startup with the powerhouse soul of Publicis Media, Spark Foundry delivers the best of both worlds to a client roster that spans some of the world's best and most beloved brands and companies.
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8+ years of experience in batch and streaming ETL using Spark, Python, Scala, Snowflake or Databricks for Data Engineering or Machine Learning workloads. As the technical lead and architect, your primary responsibility will be to design and implement highly efficient, reusable, and scalable data processing systems and pipelines in Databricks and Snowflake.
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A deep understanding of Spark internals / Databricks / ETL systems is a plus. 5+ years professional full stack experience developing cloud based SaaS products using Java, SPA and related technologies with a complex backend data processing system.
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Our platform is ever evolving, but currently is a combination of SQL, Kafka, Flume, Spark, Scala, Java, Python, NoSQL (HBase, Cassandra and ScyllaDB), MPP RDBMS, Postgres, Hadoop, AWS, AirFlow, Docker, Kubernetes, and Elastic.
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