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The Data Analyst evaluates a range of Monitor and Combat Trafficking in Persons’ (J/TIP) data sources and uses data analytics and data visualization techniques to help the J/TIP office to better explain the complex issue of human trafficking and the impacts of the office’s anti-trafficking work to the public and other stakeholders.
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Solid understanding of various Data Management and Data Pipeline tools available in AWS. Working knowledge with primary AWS Services like S3, Lambda, Batch, Glue, Athena, EC2, EBS, CloudWatch, CloudTrail, ECS, ECR, EMR, IAM, SNS etc.
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Job Title: Data Engineer/ Data ArchitectLocation: Corvallis, OR – 5 Days Onsite Role Job Description: At least 8 to 10+ years’ experience in data engineering , AI and ML and Aws/Azure Architect, Design and implement distributed data processing pipelines using Spark, Python, SQL and other tools and languages prevalent in the Big Data/Lakehouse ecosystem.
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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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Here in MDM we work closely with cross-functional stakeholders to have efficient master data for our business. Master Data AnalystPrinceton, NJ, USHybridDo you enjoy working in a team environment as well as data management.
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5 years experience as Chief Data Officer or Chief Digital Officer in an AI-driven techbio company, leading computational theoretical chemistry, computational medicinal chemistry, computational biology, bioinformatics, and digital biology.
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Build scalable data pipelines using varieties of tools, including Qlik Replicate, Five Tran, Databricks, etc. Working knowledge of big data tools (e.g., Hadoop, MongoDB, Kafka, HDFS, YARM, etc.
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Experience building and managing production-grade data pipelines using tools such as Airflow, dbt, DataHub, MLFlowExperience building and managing production-grade data platforms using distributed systems such as Kafka, Spark, Flink and/or others.
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Technical Skills: Proficiency in data analysis tools (e.g., SQL, Excel, MS Query), data visualization software (e.g., Crystal Reports, Tableau, Power BI), and statistical analysis. Experience: 2+ years of experience in data analysis, preferably within a logistics or business context; it can be partially substituted with relevant Logistics experience related to manufacturing, retail, inventory, and wholesale.
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At least 4 years of experience in data engineering working with Big Data Technologies: Apache Spark, Pyspark, Hadoop, and DataBricks with delta lake. Requires a minimum of a bachelor's or foreign equivalent degree in Management Information Systems, Computer Science and Engineering, or a related field plus 4 years of experience as a software developer, data engineer, or related occupation.
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The Sr Data Scientist is responsible for participating in the full array of predictive modeling activities at BHI. Conduct quantitative analyses, author study reports, and create innovative analytic approaches.
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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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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) Senior Data Scientist, Data & Strategy 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.
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Desired Qualifications:Familiarity with self-serve data platforms and modern data engineering tools like Apache Spark/Iceberg, Presto/Trino, Dremio, dbt etc. Proficiency in modern data visualization and business intelligence tools (e.g., Tableau, Power BI, Looker), with hands-on experience in creating impactful, user-centric visualizations.
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LI-RemoteVantage is looking for a Principal Mechanical Engineer to be part of the design engineering team, steering innovative design and engineering solution for our data center projects. Understanding of AutoCAD, Revit, BIM, Navisworks and CFD modeling software environmentsSolid understanding of critical mechanical infrastructure within a data center is required.
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