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Edelweiss Global Markets

Tech - Data Engineer

Edelweiss Global Markets · Mumbai, Maharashtra, India

Financial Services · 201-500 employees

7 h ago
Mid (2-5 yrs) Full-time India
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About the role

You will design, build, and optimize scalable data platforms and high-performance ETL pipelines to support global trading operations. The role involves implementing fault-tolerant data architectures and driving data governance standards across the organization.

What they look for

Java Python Kafka ETL Data Engineering Microservices Spring Framework Distributed Systems ClickHouse PostgreSQL CI/CD Jenkins Shell Scripting Data Warehousing Data Governance Scalable Architecture

Requirements

Candidates must hold a bachelor's degree in a technical field and possess at least 4 years of experience in data engineering or large-scale data processing. Strong proficiency in Java, Python, and distributed systems is required, along with experience in financial or trading environments.

Full 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.