at MCKINSEY & CO INC, UNITED STATES in Chicago, Illinois, United States
Job Description
Specialist w/ McKinsey & Co, Inc. US (Chicago, IL) Design and implement data Extraction, Transformation, Loading(ETL) pipeline leveraging modern data engineering architecture patterns. Conduct business analysis and collect business requirements to translate them into Digital Solution leveraging best practices . Architect, develop and deploy end-to-end data solutions on clients’ cloud platform, leveraging cloud services provided by Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP). Apply statistical and machine learning methodologies to identify trend, pattern, anomality and commonality from various data sources. Define digital solution architecture and manage prioritization of features working with Agile development teams . Develop and deliver automated reports and advanced visualization solutions using various business intelligence tools like Tableau and PowerBI. Telecommuting permitted.
Minimum of a Bachelor’s degree in Applied Mathematics, Computer Science, or related field, or foreign degree equivalent. Minimum two (2) years of experience developing data analytics solutions. Experience must include the following: Programming languages: Java, Python, SQL, pySpark, Scala, R; Big data technologies: Hadoop, MapReduce, Hive, Spark, Kafka; Database technologies: Microsoft SQL, Oracle; Business Intelligence tools: Tableau. Email your resume to CO@mckinsey.com and refer to Job # 7124826
Worksite: McKinsey & Company, Inc. United States, 300 East Randolph Street, Suite 3100, Chicago, IL 60601
