Tech - Data Engineer
Edelweiss Global Markets
Salary undisclosed
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Description
Job Purpose
As a Data Engineer, you will design, build, and optimize scalable data platforms that support trading and business functions across global markets. You will architect high-performance data systems, develop robust ETL pipelines, and enable efficient processing of large-scale datasets while ensuring reliability, scalability, and data governance standards.
Responsibilities
- Design, develop, and maintain large-scale data platforms and processing systems that support trading and business operations.
- Build and optimize data ingestion, transformation, and storage solutions to improve performance, reliability, and operational efficiency.
- Develop, manage, and enhance ETL pipelines capable of handling large-volume, high-frequency datasets.
- Design and implement fault-tolerant, scalable, and distributed data architectures using modern engineering frameworks and technologies.
- Leverage Java, Python, Kafka, and microservices-based architectures to build high-performance data engineering solutions.
- Drive data governance, quality, and platform best practices while ensuring data consistency and integrity across systems.
- Automate operational processes, optimize existing applications, and continuously improve system scalability and maintainability.
- Collaborate closely with trading, technology, and business teams while mentoring junior engineers and contributing to the growth of the engineering organization.
Key Requirements
- Bachelor's degree in Computer Science, Engineering, or a related technical discipline with an understanding of financial markets and trading concepts.
- 4+ years of experience in data engineering, data platform development, or large-scale data processing environments.
- Strong programming skills in Java and Python with experience building enterprise-grade applications and services.
- Experience working with microservices architectures, Spring Framework, and distributed systems.
- Strong understanding of ETL development, data warehousing concepts, and large-scale data pipeline design.
- Experience with messaging and streaming technologies such as Kafka and automation using shell scripting.
- Hands-on experience with relational and analytical databases, preferably ClickHouse and PostgreSQL.
- Knowledge of CI/CD practices and tools such as Jenkins, with a focus on automation and deployment reliability.
- Experience designing scalable, fault-tolerant, and high-performance systems capable of handling large datasets.
- Exposure to trading firms, capital markets, or international exchange data environments will be an added advantage.
- Strong analytical, problem-solving, and communication skills with the ability to work effectively across cross-functional teams.
- Demonstrated attention to detail, process orientation, continuous learning mindset, and the ability to mentor junior team members.
About this role
Edelweiss Global Markets is seeking a Data Engineer to build and maintain the data infrastructure that powers trading and business operations across global markets. You'll design scalable data platforms, develop high-performance ETL pipelines, and architect distributed systems capable of processing large-volume, high-frequency datasets. The role demands strong technical depth in Java and Python, hands-on experience with Kafka and microservices, and familiarity with databases like ClickHouse and PostgreSQL. You'll also drive data governance and platform best practices while automating operational processes to improve system reliability and performance.
This position suits someone with at least four years of data engineering experience who understands both the technical and business sides of financial markets. A background at a trading firm or capital markets environment is valued but not required. You should be comfortable collaborating across trading, technology, and business teams, and ideally have experience mentoring junior engineers. The role is based in Mumbai and requires in-office presence.
The ideal candidate holds a degree in Computer Science or a related field, demonstrates strong problem-solving skills, and brings a continuous learning mindset. Practical experience with CI/CD tools like Jenkins, shell scripting, and distributed system design will strengthen your candidacy.
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Pay for this role
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