Data Engineer

Skills:

Provide real time support to data and product related queries to support business and technical teams. Provide data solutions, tools, and capabilities to enable frameworks. Perform data analytics and reporting to generate insights and guide business decisions. Provide guidance to partner teams by establishing data dictionaries, data mapping, and data patterns. Convert business requirements to design, identify tools and develop solutions. Support the teams in the selection and implementation of data analytics tool and frameworks that are suitable for their needs. Work with different teams to perform diagnostic analytics, prescriptive analytics, and descriptive analytics. Use industry tools such as Alteryx and Power BI to generate metrics and develop dashboards for insights and data visualization. Develop algorithms to automate data reconciliation, data cleansing, and data wrangling logics. Develop expertise on metadata, lineage, and business definitions to identify gaps and accept challenges. Design, develop, deploy and automate several data engineering projects using Alteryx, which eliminates human intervention and saves processing time. Perform data extractions, transformations, and exploratory data analysis using Alteryx. Develop various ETL and ELT jobs using Alteryx.

-Qualification Master's Degree in Computer Science, Information Technology, or related required
-24 months experience as a Data Engineer, Data Scientist or related required
-Skills Experience using Alteryx tool required