Vacancy expired!
Job Title: Lead Data Engineer Job Location: Malvern, PA Job Type: Full time/Contract Description: 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
- 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
Vacancy expired!