Data Platform Engineer

1 week ago

New York, United States Maintec Technologies Full time
Job Title: Data Platform Engineer - Enterprise Architecture

Location: NewYork

Experience level: Mid-senior

Experience required: 10 Years

Education level: Bachelor's degree

Job function: Information Technology

Industry: Financial Services

Total position: 1

Relocation assistance: No

MUST HAVE:
  • Implement advanced data and analytics solutions on a modern data platform (e.g., Dremio, Databricks, Snowflake)
  • Developing reusable data assets to enable our teams to function more efficiently and at higher levels.
  • Kubernetes and dealing with networking policies and configurations
  • Configuring enterprise data visualization tools (e.g. Qlik, Tableau, Power BI)
  • SQL
  • Writing Scala, Python, or Java
  • Git and DevOps tooling
  • Agile
NICE TO HAVE:
  • Kafka
  • Data masking and anonymization techniques
  • Workflow and Decision automation (e.g., Camunda, Airflow)
  • Front/Backend development
ADDITIONAL INFORMATION:

Career Growth - The Enterprise Data team is nascent and offers opportunity for growth depending on your drive and contribution

Impact - The platform you build will be shaping the projects that sit on the executive committee agenda

Benefits - Competitive salaries and comprehensive benefits and programs including health and welfare, tuition assistance, 401K, employee assistance program, domestic partnership benefits, career mobility, employee network groups, volunteer opportunities, and other programs

Skills: Data, Analytics, Dremio, DataBricks, Snowflake, Kubernetes, Data Visualization, Qlik, Tableau, PowerBI, SQL, Scala, Python, JAVA, Git, DevOps, Kafka, Camunda, Airflow, Enterprise Architecture

JOB DESCRIPTION:
  • We are consolidating our analytics and access to our data sources by leveraging a hybrid Lakehouse architecture and building out the surrounding toolkit required to meet our user needs from across the enterprise
  • You will be joining our central data team at MMC Tech to help modernize our enterprise approach to data with a focus on enabling self-service capabilities
  • You will be integrating existing tooling and processes and moving us to the next level by identifying additional needs and suitable technologies
  • You will work closely with technical and business colleagues to design, build and support required functionality in compliance with our enterprise requirements
RESPONSIBILITIES:
  • Pushing us to adopt better practices
  • Building out a modern, controlled enterprise Lakehouse
  • Integrating supporting technologies and governance processes into the methods for accessing data
  • Integrating user-friendly interfaces with Lakehouse feeds
  • Enabling data self-service
  • Documenting architectures and processes for enterprise consumption
  • Developing reusable data assets to enable our teams to function more efficiently and at higher levels.
QUALIFICATIONS:
  • Significant experience implementing advanced data and analytics solutions on a modern data platform (e.g., Dremio, Databricks, Snowflake)
  • Experience working with Kubernetes and dealing with networking policies and configurations
  • Experience working with and configuring enterprise data visualization tools (e.g. Qlik, Tableau, Power BI)
  • Ability to effortlessly build rapport and maintain close working relationship with technical colleagues
  • 5+ years' experience with SQL
  • 5+ years' experience writing Scala, Python, or Java
  • You will be familiar with Git and DevOps tooling
  • You will be familiar with containerization and the surrounding ecosystem, including secrets management
  • Experience working with Agile methodologies
ADDITIONAL QUALIFICATIONS:
  • Experience configuring and working with Kafka.
  • Experience working with data masking and anonymization techniques.
  • Experience working across both modern and legacy data sources and structures.
  • Experience working with DBT or other modern data development tools.
  • Good understanding of Front/Backend development.
  • Exposure to Workflow and Decision automation (e.g., Camunda, Airflow)

ABOUT: Marsh McLennan is the world's leading professional services firm in the areas of risk, strategy, and people. The Company's 76,000 colleagues advise clients in 130 countries. With annual revenue over $17 billion, Marsh McLennan helps clients navigate an increasingly dynamic and complex environment through four market-leading businesses. Marsh advises individual and commercial clients of all sizes on insurance broking and innovative risk management solutions. Guy Carpenter develops advanced risk, reinsurance and capital strategies that help clients grow profitably and pursue emerging opportunities. Mercer delivers advice and technology-driven solutions that help organizations redefine the world of work, reshape retirement and investment outcomes, and unlock health and wellbeing for a changing workforce. Oliver Wyman serves as a critical strategic, economic and brand advisor to private sector and governmental clients.

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