Job Summary

Join our team and you will have an opportunity to collaborate with a talented team of business and technology professionals in building and enhancing an cutting-edge data platform. Working within an agile squad, this role will help in delivering data pipelines and liquidity calculations that underpin critical business processes, while helping ensure the platform remains robust, scalable, and dependable.

Job Type: Permanent - Full time

What role will you play

- In this role, you will use your data engineering and big data skills to build and maintain data services and pipelines with industry best practices.
- Working in a DevOps environment, you will develop, test, and support data assets, automate testing and delivery, infrastructure optimisation, and help maintain code quality and security standards.
- You'll participate in code reviews, and various team activities, while collaborating to resolve technical issues and support process improvements.

What you offer

- 2-6 Years of Experience in big data technologies, specifically Spark, Python, Hive, SQL, Presto (or other query engines), big data storage formats (e.g., Parquet, Avro or Any), orchestration tools (e.g., Apache Airflow, Control M) and version control (e.g. Bitbucket).




- Proficiency in developing configuration-based ETL pipelines and user-interface driven tools to optimize data processes and calculations (e.g., Dataiku, Inhouse ETL tool, or any ETL tool experience).
- Experience in analysing business requirements, solution design, including the design of data models, data pipelines, and calculations, as well as presenting solution options and recommendations.
- Experience working in Any cloud environments AWS,GCP,Azure(preferably AWS), with a solid understanding of core cloud concepts and services (e.g., EC2, S3), as well as Linux and containerization technologies (such as Docker and Kubernetes).
- Exposure to AI-enabled tools, platforms, or solutions that can help automate operational processes, improve engineering productivity, and enhance day-to-day ways of working.
- A background in solution delivery within the finance or treasury business domains, particularly in areas such as Liquidity or Capital, is advantageous.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Executive Data Engineer (Gurugram)
🏢 MACQUARIE
📍 Gurugram