QUALIFICATIONS
- Degree in computer science, engineering, mathematics, quantitative methods or related field
- Proven experience in developing and maintaining production-level data pipelines
- Strong command of Python, with a focus on writing clean, efficient, and production-ready code
- Strong SQL expertise, with experience of relational databases such as PostgreSQL or Snowflake
- Experience with core AWS products such as EC2, ECS, Lambda and RDS
- Familiarity with data orchestration technologies such as Dagster, or a strong desire to learn
- Familiarity with DBT or similar tools for data transformation, or a strong desire to learn
- Experience with developing REST APIs using FastAPI and Pydantic, or a strong desire to learn
- Passion for automation, with experience in containerisation (e.g. Docker), shell scripting, and continuous integration/continuous deployment (CI/CD) pipelines
- Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, peer code reviews, version control, build processes, testing, and deployment
- Excellent written and verbal communication skills
WHO YOU'LL WORK WITH
You will be based in our offices in Gurgaon as part of the engineering team. You will be developing PlanetView, a software as a service solution which helps the financial sector understand and manage climate change risks. You will work alongside our physical and transition risk modelling teams, following agile processes, to bring new datasets, analytical approaches and features to production. We work with financial data, terabytes of global climate data and a wide range of environmental, social and corporate governance (ESG) data and integrate them in our class-leading advanced economic models.
Planetrics is a client service platform within McKinsey Sustainability with the goal of helping all industry sectors transform to get to net zero by 2050 and cut carbon emissions by half by 2030. We are specialists in the design of climate-change risk and opportunity modelling at the level of regions, sectors and assets, and in integrating this data with existing modelling and decision-making frameworks. The Planetrics model and our PlanetView solution are used by world’s leading banks, asset managers, owners, and insurers to support portfolio management, risk management, regulatory reporting, and stress testing.
Planetrics is committed to diversity and inclusion and welcomes all applicants regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex or sexual orientation.
At Planetrics you will be at the forefront of new technologies, applying best practices into development of PlanetView solution. You will deliver a real impact by identifying potential risks and capturing strategic opportunities of different climate-change policies and climate-related technologies worldwide. You will work in the environment that puts sustainability, diversity and digital transformation at the heart of what we do.
Check out our website to learn more about us.
WHAT YOU'LL DO
You will work alongside our physical and transition risk modelling teams, following agile processes, to bring new datasets, analytical approaches and features to production.
In this role, you will work with financial data, terabytes of global climate data and a wide range of environmental, social and corporate governance (ESG) data and integrate them in our class-leading advanced economic models.
You will build scalable data pipelines and help us bring our models into production at pace. You’ll have the opportunity to significantly influence the design of our backend processes. You will also manage your day-to-day priorities, time and commitments within your team setting while ensuring that technical standards and best practices are exercised. Lastly, you will apply new knowledge and innovation to the existing codebase.
