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The roleYou will be a senior member of our US Data Engineering chapter. You will have indepth knowledge and experience in; cloud data lake house; Databricks (preferred) or Snowflake; cloud-native solutions knowledge; SQL or Python; modern DevOps approach; have written data code AND also the CI/CD pipelines.
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Ability to work under pressure and within tight deadlinesAttention to detailPreferred ExperienceExperience in data visualization and analysis tools such as Power BI, Looker Studio, Qlik, or Tableau.
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Experience with AWS cloud services : EC2 , EMR, RDS, Redshift , Modern data platforms, Snowflake , dbt , Fivetran and Airflow. 5+ years in data engineering with detailed knowledge of data warehouse technical architectures , infrastructure components , ETL ELT.
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Analyzes and evaluates data fields of GCIC/NCIC records in department. Inquiries against confidential criminal justice data bases for compliance with the Rules of the GCIC Council, federal and state laws and operational procedures.
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT. Sight and Sound play a large role in our day-to-day experiences.
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Experience with protein purification, molecular biology, biochemistry and/or cell-based experimental techniques is required, with a preference given to researchers with experience with assay development and high-throughput screening, high-content imaging, and/or pharmacological concepts/data analysis.
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Domain knowledge for the following cybersecurity capability areas: Application Security, Vulnerability Management, Data Security and Protection, Cloud Security, Infrastructure Security, Identity and Access Management, Cyber Threat Operations, Cybersecurity Testing.
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Experience designing Data Warehouse/Data Lake, Cloud Based Technologies (AWS - Data Migration Service, Glue, S3, EC2, Lambda, Step Functions, Document DB, RedShift / Spectrum) Lead the design, development, and deployment of ML pipelines and data solutions in cloud environments such as AWS, Microsoft Azure, and Google Cloud Platform (GCP), with a focus on AWS.
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Work closely with our data engineering team to ensure that our Databricks platform is optimized for performance, scalability, and reliability. They will work closely with our data engineering team to ensure that our Databricks platform is optimized for performance, scalability, and reliability.
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The People Analytics team is globally respected as a leader in its field and is dedicated to staying on the cutting edge of business intelligence and data science methodology and technology. As such, we've built a world class People Analytics and Measurement team to optimize people management and facilitate data-driven decision making.
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Certified Analytics Professional (CAP), Data Science Council of America (DASCA), Principal Data Scientist (PDS), SAS Big Data Professional, Microsoft Certified Azure Data Scientist Associate, or equivalents.
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Proficiency with Azure Databricks, Apache Spark, and data processing frameworks. Integration: Integrate Azure Databricks with other Azure services such as Azure Data Lake Storage, Azure Synapse Analytics, and Azure SQL Database, as well as third-party tools and data sources.
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In supporting rule analysis, Teammate should be able to Independently perform sophisticated data analytics that fit to the fraud problem being observed (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
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We are seeking a dynamic and highly skilled Senior Data Engineer who has extensive experience building self -service enterprise scale data platforms with microservices architecture and lead these foundational efforts.
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Note: Data Annotation payment is made via PayPal. We will never ask for any money from you. Fluent in English● A bachelor's degree (completed or in progress)● Excellent writing and grammar skills● Strong research and fact-checking skills to ensure accuracy and originality● Previous experience as a Freelance Writer, Content Writer, Editor, Copywriter, Copy Editor, or those with experience in journalism and/or media is preferred but not required.
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data job Title: senior Company: Diverse Lynx in Atlanta, GA
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