Specialist - Data Management
MMC

New York, New York

Posted in Consultancy


This job has expired.

Job Info


Guy Carpenter is seeking candidates for the following position based in the New York City office:

Data Engineer

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)


This job has expired.

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