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We are particularly interested in candidates in the areas of Artificial Intelligence (including Machine Learning, Natural Language Processing, Computer Vision, and Knowledge Engineering), Data Mining and Analytics, Cybersecurity, Human Centered Computing (including Information Visualization, Human Computer Interaction, Social Computing, Pervasive & Ubiquitous Computing), Network Science, Cloud Computing, and Information System Design.
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The Asset Management Quant Research Engineering team is looking for a Director of Data Engineering who wishes to take on the challenge of building a world-class data operation.
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Our Location & Design Geospatial Program is seeking a highly skilled GIS Engineering Specialist to enhance our capabilities in GIS spatial data analysis and mapping. This role involves a broad range of responsibilities associated with GIS data management and development, particularly in support of projects such as Stormwater Basin (BMP), MS4 activities, photogrammetry flights, drone flights, and the development of Right-of-Way layers.
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Analyze survey reports, maps, drawings, blueprints, aerial photography, and other topographical or geologic data to plan projects. Ability to manage, import, and create 3D surfaces from ariel and topographic site survey data in Autocad Civil 3D.
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TRKKN is a full service provider for the Google Marketing Platform and Google Cloud with an interdisciplinary team of experts from the fields of Digital Analytics, Conversion Optimization, Ad Tech, Advanced Analytics & AI, Cloud Engineering and Tech & Data Strategy.
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Extensive hands-on experience implementing Lakehouse architecture using Databricks Data Engineering platform, SQL Analytics, Delta Lake, and Unity Catalog. You will have an opportunity to work in roles such as Cloud Data Engineer, Data Modeler or Data Architect covering all aspects of Data including Data Management, Data Governance and Data Migration.
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Experience with Databricks for data engineering and analytics, including familiarity with Spark, Delta Lake, and ML. Leverage Databricks for data engineering, analytics, and machine learning tasks within application developm.
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Experience working with security, data, and AI pipeline technologies (RDS/Postgres, Snowflake, Airflow) and infrastructure as Code (Terraform, Python, Ansible, CFT). Demonstrated work experience using AWS services: Deploy the models in Sagemaker , cloud-based data platforms like Snowflake or RDS for analytics data hosting.
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Proven ETL/Data Engineering experience, preferably on AWS ecosystem. We are seeking a Senior Data Engineer who is passionate about building robust, scalable, efficient, and high-quality Data Engineering solutions.
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Monitor training & development needs and confirm competency of Production Engineering Team. Verify accurate well and production data, including forecasts, is maintained. Responsible for fostering the safety culture of the Production Engineering Team through personal behaviors, standards, verifications & coachingUse a data-driven approach to optimize, modify, and deliver on Safety, Production, and Cost priorities across the business.
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Minimum of 4 year’s of experience in Databricks engineering solutions on one of the Cloud platforms (Azure, AWS or GCP) Familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing, and curation: Kafka, StreamSets, Qlik/Attunity, GoldenGate, Hadoop, Hive, Hbase, Cassandra, Spark, Flume, Hive, Impala, etc.
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Experience in data governance fields as lineage, quality, catalog etc. Cloud data migration methodologies and processes including tools like Azure Data Factory, Event Hub, etc. Minimum of 4 year’s of experience in Data Architecture and delivery experience on one of the Cloud platforms (Azure, AWS or GCP.
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Minimum of 7 year’s of experience years of experience in Big Data/Hadoop, database and data warehouse architecture and delivery. With over 45,000 professionals dedicated to Data & AI, Accenture’s Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.
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The beginning of a new Data & AI decade that will reshape work and society has begun. As part of our Data & AI group, you will lead technology innovation for our clients through robust delivery of world-class solutions.
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Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI — backed by a $3B investment and commitment to our people to do industry-defining work.
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data engineering jobs Title: intelligence Company: Publicis Groupe in Sanford, Maine
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