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Oliver Wyman - Data Engineer / Senior Data Engineer - Data and Analytics (DNA)

Gurugram, India Full-time Hybrid

About the role

Oliver Wyman DNA is a consulting practice focused on data and analytics, partnering with clients to solve strategic challenges through advanced analytics, technology, and industry expertise. Based in Gurugram, India, the team delivers digital transformation, customer‑focused solutions, and operational optimization. The role seeks Data Engineers, from entry to Lead, to design, develop, and maintain scalable data pipelines, ETL processes, and ML infrastructure on cloud platforms such as AWS, Azure, or GCP. Candidates should have strong programming skills in Python, SQL, and experience with big‑data tools like PySpark, Databricks, Snowflake, and DBT, as well as CI/CD, TDD, and Airflow. The position offers a hybrid work model, competitive benefits, and opportunities for growth within a global consulting environment.

What you’ll do

  • Working alongside Oliver Wyman consulting teams and partners, engaging directly with clients to understand their business challenges
  • Exploring large-scale data and designing, developing, and maintaining data/software pipelines, and ETL processes for internal and external stakeholders
  • Explaining, refining, and developing the necessary architecture to guide stakeholders through the journey of model building
  • Advocating application of best practices in data engineering, code hygiene, and code reviews
  • Leading the development of proprietary data engineering, assets, ML algorithms, and analytical tools on varied projects
  • Creating and maintaining documentation to support stakeholders and runbooks for operational excellence
  • Working with partners and principals to shape proposals that showcase our data engineering and analytics capabilities
  • Travelling to clients’ locations across the globe, when required, understanding their problems, and delivering appropriate solutions in collaboration with them
  • Keeping up with emerging state‑of‑the‑art data engineering techniques in your domain

What you’ll bring

  • Bachelor's or master’s degree in a computational or quantitative discipline from a top academic program (Computer Science, Informatics, Data Science, or related)
  • Strong mentoring skills, guiding junior engineers on advanced data engineering concepts, platforms, and quality assurance processes—applicable for Senior and Lead levels.
  • Experience designing and deploying cloud-native data applications.
  • Hands‑on knowledge of test‑driven development (TDD) and CI/CD pipeline integration.
  • Pragmatic, methodical problem‑solving approach with a focus on impactful delivery.
  • Ability to independently prioritize workload and meet deadlines in fast‑paced environments.
  • Strong team collaboration skills combined with excellent verbal and written communication in English.
  • Willingness to travel internationally as required.
  • Strong respect for confidentiality and data security.

Skills

Prior experience in designing and deploying large‑scale data solutionsFluency in modern programming languages (Python is mandatory; R, SAS desired)Experience with cloud platforms such as AWS, Azure, or Google Cloud PlatformStrong SQL skills and experience with relational databases such as MySQL, PostgreSQL, or OracleFamiliarity with big data tools and frameworks such as PySpark, Databricks, Snowflake, and DBT.Basic hands‑on experience with Data engineering tasks like productizing data pipelines, building CI/CD pipeline, code orchestration using tools like Airflow, DevOps etcFamiliarity with modern storage and computational frameworksCompelling side projects or contributions to the Open‑Source communityAwareness of machine learning frameworks (e.g., Scikit‑Learn, TensorFlow)Familiarity with containerization technologies, such as Docker and KubernetesExperience with backend web frameworks (FastAPI, Flask, Django) is beneficialExperience with NoSQL databases such as MongoDB or Cassandra

Benefits

Competitive total rewards package including health, welfare benefits and employee assistance programs.

Education

Bachelor's or master's degree in a computational or quantitative discipline

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