JOB DESCRIPTION:
Skills Desired:
Spotfire, Python, Scala, Java, C++, SQL
Product Costing domain knowledge
Background in data engineering and data visualization along with experience in Agile project management methodologies.
Design, develop, optimize, and maintain data architecture and pipelines that follow ETL principles and business goals.
Define data requirements, gather and mine large-scale structured and unstructured data, and validate data using various tools in the Big Data Environment.
Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value.
Perform data manipulation and queries using SQL independently.
Develop scripts and applications in Python for complex data processing needs.
Lead the evaluation, implementation, and deployment of emerging tools and processes for analytic data engineering to improve productivity.
Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.
Implement statistical data quality procedures on new data sources by applying rigorous iterative data analytics.
Advise, consult and coach other data and analytic professionals on data standards and practices.
Create advanced data visualizations and dashboards in Tableau or in PowerBI.
Apply machine learning techniques to predict outcomes and increase business processes.
Have solid knowledge of industry practices and contribute to departmental projects and goals, often engaging in frequent internal and external interactions.
Occasionally lead small project teams and provide informal guidance to junior staff.
Any Graduate