Guy Carpenter is seeking candidates for the following position based in the New York City office:
What can you expect?
Own the role of data steward for a variety of high value datasets and implement innovative quality assurance practices
Establish and implement metadata management standards and capabilities, including lineage mapping
Enforce strong development standards across the team through code reviews, unit testing, and monitoring
What is in it for you?
Work in an inclusive, collaborative, and innovative culture that embraces diversity
Exposure to key stakeholders and senior leadership and the opportunity to make strong business connections
A flexible, hybrid work schedule, including remote working opportunities, with competitive compensation including bonus eligibility and vacation days commensurate with experience level
We are excited to offer the following benefits to all our colleagues: Health and welfare benefits - Tuition assistance - 401K and other retirement savings programs - Employee assistance programs - physical, mental and financial
We will count on you to:
Develop, implement, and deploy custom data pipelines powering machine learning algorithms, insights generation, client benchmarking tools, business intelligence dashboards, reporting and new data products.
Innovate new ways to leverage enormous amounts of various datasets to drive revenues via the development of new products with the Data Strategy team, as well as the enhanced delivery of existing products
Consume data from a variety of sources (relational DBs, APIs, NetApp and other cloud storage, FTPs) & formats (excel, CSV, XML, parquet, unstructured))
Construct and maintain data pipelines between GC's databases, and other sources, with the data lake utilizing modern ETL frameworks
Perform basic data analysis within Jupyter Notebooks to validate the fulfillment of requirements for data pipelines
Evangelize data strategy techniques and best practices throughout global strategic advisory
Keep up-to-date on the latest trends and innovation in data technology and how these trends apply to GC's business and data strategy
What you need to have:
3-5 years of relevant experience as a data engineer or in a similar role
Bachelor's or master's degree in data science, computer science or related quantitative field such as applied mathematics, statistics, engineering, or operations research
Extensive experience with Spark, Python, and SQL
Extensive experience integrating data from semi-structured sources
Experience deploying/maintaining cloud resources (AWS, Azure, or GCP)
Knowledge of various industry-leading SQL and NoSQL database systems
Experience working in an Agile environment to facilitate the quick and effective fulfillment of group goals
Good interpersonal skills for establishing and maintaining good internal relationships, working well as part of a team and for presentations and discussions
Strong analytical skills and intellectual curiosity as demonstrated through academic experience or work assignments
Good ability to prioritize workload according to volume, urgency, etc. and to deliver on required projects in a timely fashion
What makes you stand out
Strong understanding of entity resolution, streaming technologies, and ELT/ETL frameworks
Ability to articulate the advantages of various cloud and on-premises deployment options
Experience with Master Data Management
Experience with web scraping and crowd sourcing technologies
Familiarity with modern data productivity frameworks and their alternatives such as Databricks, DataRobot, and Alteryx
Experience with the MS Azure cloud environment, including ARM template deployments
Strong knowledge of CI/CD principles and practical experience with a CI/CD technology (Azure Devops, GitLab, Travis, Jenkins)
According to the US Bureau of Statistics, consulting services are made up of management, scientific, and technical services. The goal of consulting is to offer business advice to other businesses. Consultants typically have some form of expertise that they can provide to annother business who may employ them for his/her services.
The expectation is that employment in consultancy will increase as demand goes up for experienced, knowledgeable individuals to assist in specific sector of business.
Pay withinn this industry depends on which sector a consultant specializes in, how much experiennce they have, and how much success they have in assisting businesses.
Consultants may travel frequently to meet with clients.