Oliver Wyman - Data Engineer / Senior Data Engineer - Data and Analytics (DNA) - Gurugram, India
Marsh9 months ago
Gurgaon, IndiaEntry Level / Mid Level / Senior
Responsibilities
- Develop and monitor high-performance data applications that deploy machine learning frameworks and advanced analytical techniques at scale.
- Explore large-scale data and design, develop, and maintain data pipelines, software pipelines, and ETL processes.
- Define and refine application architecture to support model-building and stakeholder needs.
- Apply data engineering best practices, code hygiene, code reviews, testing, and operational documentation.
- Lead development of proprietary data engineering assets, ML algorithms, and analytical tools across varied projects.
- Create documentation and runbooks to support stakeholders and operational excellence.
- Collaborate with consulting teams, partners, principals, and clients to understand business challenges and deliver solutions.
- Contribute to proposals showcasing data engineering and analytics capabilities.
- Mentor junior engineers on advanced data engineering concepts, platforms, and quality assurance processes at senior and lead levels.
- Travel internationally to client locations when required.
Requirements
- Bachelor’s or master’s degree in Computer Science, Informatics, Data Science, or a related computational or quantitative discipline.
- Experience designing and deploying large-scale data solutions and cloud-native data applications.
- Mandatory fluency in Python; experience with R or SAS is desirable.
- Strong SQL skills and experience with MySQL, PostgreSQL, or Oracle.
- Experience with AWS, Azure, or Google Cloud Platform.
- Familiarity with PySpark, Databricks, Snowflake, DBT, Airflow, and modern storage and computational frameworks.
- Hands-on knowledge of test-driven development and CI/CD pipeline integration.
- Basic hands-on experience productizing data pipelines, building CI/CD pipelines, and using DevOps tools.
- Strong mentoring skills for senior and lead-level candidates.
- Strong written and verbal English communication, collaboration, prioritization, and problem-solving skills.
- Willingness to travel internationally and maintain confidentiality and data security.
- Side projects or open-source contributions are valued but not required.
- Awareness of Scikit-Learn or TensorFlow is valued but not required.
- Familiarity with Docker, Kubernetes, FastAPI, Flask, Django, MongoDB, or Cassandra is valued or beneficial but not required.
Benefits
- Competitive total rewards package with comprehensive health and welfare benefits and employee assistance programs.
- Performance-based incentives may be available in addition to base salary.
- Hybrid work arrangement with colleagues expected to work from a local office or client site at least three days per week.
- International client travel may be required.
- Flexible work environment with opportunities for professional growth and development.
Tech Stack
Apache AirflowApache CassandraAWSAzureDatabricksdbtDjangoDockerFastAPIFlaskGoogle Cloud PlatformKubernetesMongoDBMySQLPostgreSQLPythonRSassscikit-learnSnowflakeSQLTensorFlow
Categories
Data Engineering
About Marsh
Marsh is a global insurance broker and risk advisor that helps businesses, public entities, and individuals assess, transfer, and manage risk through insurance placement, captives, and advisory services. It sells brokerage, risk consulting, and claims management across industries, including cyber and property, and operates in more than 130 countries. Marsh is a business of Marsh McLennan and is headquartered in New York.