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Working to design, build and support a transformational Databricks cloud data platform for the business. A robust understanding of core data engineering topics – ETL vs ELT, structured and unstructured data, data quality and data governance.
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Provide the design, development, testing and maintenance of Data ingestion, Curation, and Dissemination processes, Data Engineering activities, Reporting and Analytics dashboards as per the Data Strategy roadmap.
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Use your deep understanding of Python, data engineering, and database concepts to deliver innovative and effective solutions. Database Expertise: Utilize your expertise in Snowflake and other columnar databases to design, implement, and optimize database schemas, queries, and data models.
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Azure Data engineering with Databricks using PySpark and SparkSQL. Designing & building data architectures including the design & set-up of scalable Modern Data Platforms incl.
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Responsible for providing custom data network operational support, design, engineering, and planning for complex global data network and communications projects involving TCP/IP and related protocol connectivity for networks supporting Client customers in a 7x24 environment.
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The Senior Big Data Engineer is responsible for partnering with business unit leaders within NCR Voyix to analyze, design, and deliver data products that enable NCR Voyix’s business.
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Bachelor’s degree in computer science, IT, Computer Engineering, or related field + a minimum of 10+ years of related work experience to include data architect along with ETL development responsibilities.
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Olsson is a nationally recognized, employee-owned firm specializing in planning and design, engineering, field services, environmental, and technology. We are Olsson, a team-based, purpose-driven engineering and design firm.
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Serving as a Lead Data Engineer you are responsible for translating the high-level solution design into application software detailed design artifacts and ensuring they are maintained and reviewed throughout the project life cycle, while ensuring the detailed design and implementation of the application meets the functional and non-functional requirements.
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Work with analytics, data science, and wider engineering teams to help with automating data analysis and visualization needs, advise on transformation processes to populate data models, and explore ways to design and develop data infrastructure.
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Design the Dimensional Data Model, Data Engineering Pipelines, Data Quality and Validation rules based on the business requirements and rules that would include any error handing, exception management and data quality routines to expose the anomalies in the data.
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The large hyperscale data center campuses we design throughout the U.S. will give you the opportunity to work on some of the largest and most complex engineering-driven projects being built today.
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With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms.
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Data Engineering - 8 Yrs orExp. Design, build and deploy efficient & reliable data pipelines to move and transform data. Prepare technical design document, coordinate with offshore team on development activities.
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Technical Skills: Extensive experience with Python programming and data engineering. Continuous Improvement: Stay up-to-date with the latest advancements in data engineering, database technologies, and best practices.
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engineering design jobs Title: data engineer in Atlanta, DE, France
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