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We partner with the most innovative software providers in the data engineering space to solve our clients' toughest business problems. Our approach to data engineering blends modern tools and techniques with a respect for the foundations of our craft.
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Under broad supervision, designs, codes, tests, modifies and debugs computer applications utilizing Esri ArcGIS.Job Summary:The CLIENT is seeking a technical GIS developer for configuring and developing custom Esri ArcGIS Enterprise 10x, 11x (JavaScript API, Experience Builder, ArcGIS Portal/Online/Hub, Field Maps) applications.
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Bachelor's Degree or equivalent experience in Market Research or Analytics, Computer/Data Science, Statistics, CX/UX Research or Analysis or similar field. 6 years of customer data analysis experience / advanced analytics capabilities in Voice of Customer research (CX, UX, EX.
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Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis,DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks.
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Our core expertise lies in six key areas: Cloud Engineering, Application Engineering, Data Engineering, Core Engineering, Quality Engineering, and Domain expertise.
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The necessary skill areas for the Software Engineer include programming and coding, fundamentals of computer science, software design and architecture development, algorithms and data structures, information analysis, software debugging and testing, and working on development teams.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Familiarity with review of construction documentation include contractor as-builts, engineering as-builts, weld log, material log, enhanced GIS data, MTR’s and hydrotest documentation. Collaborate with Construction Management, Engineering Design, GIS and Asset Data Services, System Integrity, and System Planning leaders to produce effective solutions and designs.
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BASIC QUALIFICATIONSBachelor's degree in Construction Management, Project Management, Computer Science, or a related field or equivalent professional experienceFive or more years of work experience in data center engineering, commissioning, project management, or equivalent.
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Also, interaction and a commitment to client service for both internal and external clients Qualifications 10+ years’ experience in water/wastewater engineering and project management Bachelor’s degree in Civil Engineering (or equivalent) Georgia Professional Engineer (PE) license or the ability to become registered within 6 months Demonstrated technical proficiency in hydraulics, water/wastewater treatment, industry standards, etc.
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Degree in engineering, computer science, information systems or equivalent experience required, Masters/MBA preferred. 3-5 years' experience managing data analysts, business intelligence engineers, data scientists or data engineers with a proven track record of building high-performing analytics and data science teams and developing successful analysts/data scientists.
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Ability to read electrical schematics is requiredDemonstrated experience in using power system analysis software is requiredSkilled with attention to detail and excellent analytical and organizational skills is requiredExperience in Computer Aided Design (CAD) tools, Geographic Information Systems (GIS), Work Management Systems (WMS), and CYME is preferred.
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Required - In-depth knowledge of software development best practices, including modular design, code quality, and system maintenance Required Bachelor’s degree in computer science, Information Technology, or a related field.
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Installation may include uncrating, removal of packing materials, assisting in transporting equipment to installation site, mechanical assembly, custom fabrication, internet, computer network connectivity, practice management software integration and electrical hook-up in accordance with product wiring diagrams, technical documentation, and corporate directives.
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Our transportation client is looking for a Big Data Engineer - Spark/Databricks to join their team. Experience with real-time data processing and streaming techniques using Spark structured streaming and Kafka.
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software engineering mid level computer data science jobs Title: systems in Atlanta, GA
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