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Big e job openings in maine

Growth enhancement as well as cost improvement programs. 1| Data Engineer: Business Intelligence at IBM Develop Tableau dashboards with advanced calculations, Scheduling Extracts, Performance Optimisations. Conducting unit tests and developing database queries to analyse the effects and fix issues. Performing and documenting data analysis, data validation, and data mapping/design. 2| Data Scientist, Engineering at Google Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods. Conduct end-to-end analysis, including data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations. Build and prototype analysis pipelines iteratively to provide insights at scale. Develop a comprehensive understanding of Google data structures and metrics, advocating for changes where needed. 3| Data Engineer at Amazon Location: Hyderabad Interface with business customers, gathering requirements and delivering complete reporting solutions.

Here are the ten latest job openings for Data Engineers posted by top companies last week. Data Scientist – Advanced Machine Learning Location: Bangalore Responsibilities: Understanding the business problem as well as experimenting with various modelling architectures to create the best possible setup from the model and computational performance. Design, train, and deliver Data Science solutions using all modalities (tabular, text, image) and of all sizes (small or big data). Develop as well as maintain robust data processing pipelines and reproducible modelling pipelines. Apply here. Data Scientist – Time Series Forecasting Expert Expert-level proficiency in Multivariate Time Series Forecasting or Causal Forecasting Understand the business objectives as well as formulate the problem as a Data Science problem. Explore data and communicate insights clearly to non-technical as well as the technical audience. Sr. Architect – Machine Learning Identifying and executing high-value AI/ML projects within the organisation.

Participate in strategic & tactical planning discussions, including annual budget processes. 4| Data Engineer at LinkedIn Build data expertise, act as an owner for the company and manage complex data systems for a product or a group of products. Performing all necessary data transformations to serve products that empower data-driven decision making. Designing, integrating and documenting technical components for data flows or applications that perform analysis at a massive scale. 5| Analytics Developer- Data Engineer at Airbnb Location: Gurugram Creating QA plans, validating metrics and peer-reviewing code: identifying opportunities for improvement contributing to the development of Airbnb's best practices Support initiatives around real-time data and analytics tools development. Push for continuous improvement in building reproducible and scalable reporting pipelines. 6| AWS Data Engineer at Genpact Location: Noida Analyse, re-architect and re-platform on-premise data warehouses to data platforms on AWS cloud using AWS or third party services.

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