Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals.
Have working experience with the Big Data technologies like Azure, AWS etc. Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets.
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases such as DB2.
Advanced programming experience with Python / R knowledge.
Basic understanding of Machine Learning techniques.
Solve complex data problems to deliver insights that helps the organization’s business to achieve their goals.
Create data products for analytics team.
Prepare data for prescriptive and predictive modeling.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Advise, consult, mentor and coach other data and analytic professionals on data standards and practices.
Foster a culture of sharing, re-use, design for scale stability and operational efficiency of data and analytical solutions
Lead the evaluation, implementation and deployment of emerging tools and process for analytic data engineering to improve the organization’s productivity as a team.
Experience supporting and working with cross-functional teams in dynamic environment.
Partner with business analysts and solution architects to develop technical architectures for strategic enterprise projects and initiatives.
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.