Senior Data Engineer Job in V2soft

Primary responsibilities:

Experience in data wrangling and preparation Basic knowledge of ETL (Extract, Transform, Load) processes and tools QA knowledge to identify and remove duplicates Must be able to research/identify domain-specific data sources Design meaningful visualization using Qlik, Tableau or other tools. Be hands-on with data acquisition methods including web scraping Be able to handle large quantity of data Be familiar with concepts of data normalization and homogenization Have a broad understanding of AI/Client models development Nice to have Skills: Ability to apply a broad range of algorithms to varied data science problems including but not limited to Predictive Analytics, Computer Vision and Text Analytics. Enhance Data collection procedures to include information that is relevant to building analytics systems. Python, R, Deep Learning Neural Networks Traffic Analysis using Computer Vision and AI. Exposure to Azure AI or AWS Machine Learning Modules a plus. Ability to write SQL queries as well as logical scripts. Mentoring: Mentors less experienced team members and provides guidance and technical expertise. Some experience with Analytics/Business Intelligence tools such as Qlik, Birst, Tableau, Power BI, Spotfire, or comparable products. Ability to create data visualizations and transform concepts into fully realized production applications. Ability to learn the business and develop relationships that enhance the value of the Business Technology (IT). Ability to manipulate SQL queries. Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Experience building and optimizing 'big data' data pipelines, architectures and data sets. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency, and workload management. A successful history of manipulating, processing and extracting value from large, disconnected datasets. Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores. Strong project management and organizational skills. Experience supporting and working with cross-functional teams in a dynamic environment