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Experience in data processing roles such as database developer/administrator, ETL/Big Data developer, data analyst and/or BI analytics developer Experience with cloud platforms, big data platforms and one or more general purpose programming languages, including but not limited to: Python, SQL, Spark, Amazon Web Services Experience with DevOps principals and version control (Git preferred) End-to-end experience with data, including querying, aggregation, analysis, and visualization.
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Advanced programming experience and big data experience within Python, Containerization (Docker and Kubernetes), GIT and GIT lifestyle, Databricks, Hive, Kafka, spark, PowerBI. 4+ years of professional experience in data software development, programming languages and developing with big data technologies.
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Excellent programming skills in languages such as Python, SQL, or others commonly used in data engineering. Experience with big data technologies such as Apache Spark. Utilize Microsoft Azure services and tools to build and manage data solutions, including but not limited to Azure Data Factory, Azure SQL Database, Azure Databricks, and Azure Synapse Analytics.
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In-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc. Professional certifications in cloud computing (e.g., AWS Certified Solutions Architect, Microsoft Certified Azure Solutions Architect, Azure Data Engineer, SnowPro Core) and/or big data technologies.
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A technical and innovative role that partners with statistical programming, clinical analytics, data standards, statistical sciences, data sciences and information technology experts to implement next generation clinical data analysis ecosystem.
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Experience in Big Data tools and technologies such as Big Query, Databricks, Snowflake, Spark, Kafka Streams. In-depth understanding of Big Data ecosystems underlying architectures to re-platform legacy systems and build integration solutions on Google Cloud platform.
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Architect and drive the end-end Big Data deployment automation from vision to delivering the automation of Big Data foundational modules (Cloudera CDP), prerequisite components and Applications leveraging Ansible, Puppet, Terraform, Jenkins, Docker, Kubernetes to deliver end-end deployment automation across all ServiceNow environments.
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Responsible for the documentation, implementation, startup, and technical support of Programmable Logic Controller(PLC) and Human Machine Interface (HMI) programming with an emphasis on SCAD (Supervisory Control and Data Acquisition.
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Strong understanding of data analytics methods and tools like R Programming, Python and SQL. Expertise in extracting and transforming large datasets. + Transform and utilize streaming data with programming languages such as: KAFKA, SQL, Spark, and/or Azure.
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Build big data processing pipelines using Spark and Airflow. You will focus on improving the scalability, maintainability, and usability of this big data platform while increasing the number of connections the platform has to internal and external data sources.
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Experience building custom widgets and visualizations in SAC using R programming. Prior SAP ABAP programming experience. Active contributor in building robust procedures around data security, data governance, data cataloging, etc.
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Utilize Spring-Boot and Flask frameworks for creating microservices that interact with Big Data systems. Cloudera Certified Professional (CCP) or any relevant Big Data certification is preferred.
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Skills Desired (Must be willing to learn): Automation / Tools / Data / Integration Other languages like (Golang, rust, Java) or other high-level programming / scripting tooling Streaming Data programming such as Kafka/ActiveMQ/RabbitMQ or NIFI Service Now Ecosystem AWS/GCP, Terraform etc.
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Experience with programming in Python, MATLAB, JMP, and/or Minitab for engineering purposes. The Modeling and Simulation Data Scientist will support the Combination Product Operations organization by improving the way.
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Building automation monitoring tools for Big Data and working with data engineering-related tools and technologies, including: Kafka, Data Warehouses, and Apache Airflow.
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programming big data jobs Company: Brainstation
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