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Job Description Lead Data Engineer Job Location:- Malvern, PA Long Term Contract/ Full Time Role Requirement: Should be Data Engineering Lead profile and have at least 10+ years of experience in Data Technology/ Engineering in AWS environments and must have hands-on experience in Big Data, Scala, Python, Data Ingestion and in upcoming AWS Technologies. Outcomes: Work with stakeholders and creates quick prototypes of the solution to define analytics roadmap. Work with business to understand business domain and convert business problems into analytics problem Create or use existing frameworks to test and validate new models Explain models and put results in easy to interpret manner such that non-analytic person can understand Turn data into information that can improve current workflow or processes that will help to make better business decisions. Generate business insights to help clients with decision making. Adhere to best practices of coding Measures of Outcomes: Schedule Adherence Quality of code and other deliverables Number of reusable components developed Number of new analytics solutions that got approved for further development Outputs Expected: Statistical Techniques: Apply statistical techniques like regression properties of distributions statistical tests etc. to analyse data. Machine Learning Techniques: Apply machine learning techniques like clustering decision tree learning artificial neural networks etc to streamline data analysis. Creating advanced algorithms: Create advanced algorithms and statistics using regression simulation scenario analysis modelling etc. Data Visualization: Visualizing/presenting data for stakeholders using: Periscope Business Objects D3 ggplot etc. Management and Strategy: Oversees the activities of analyst personnel and ensures the efficient execution of their duties. Critical business insights: Mines the business's database in search of critical business insights and communicates findings to the relevant departments. Code: Creating efficient and reusable code meant for the improvement manipulation and analysis of data. Version Control: Manages project codebase through a version control tool like git bitbucket etc. Predictive analytics: Seeks to determine likely outcomes by detecting tendencies in descriptive and diagnostic analysis Prescriptive analytics: Attempts to identify what business action to take Create Reports: Create reports depicting the trends and behaviors from the analyzed data Training end users on new reports and dashboards. Set FAST goals and provide feedback to FAST goals of mentees Regards, Gaurav Singh Noralogic Inc. +1.307.316.8728 | Noralogic | 109 E 17th St, Cheyenne WY 82001 USA: WY, MD, NJ Mexico: Guadalajara, Monterrey India: Noida UP
Vacancy expired!