Sr Staff Software Engineer - India

6 Minutes ago • All levels • Software Development & Engineering

Job Summary

Job Description

The Sr Staff Software Engineer will independently engineer secure, scalable, and reliable technology solutions for CMEG. Key responsibilities include providing operational support for KDB+ analytics systems, actively participating in the design and development of new analytics solutions on GCP, utilizing GCP's real-time analytics stack for data pipelines, and developing dashboards using Looker/Tableau. The role involves close collaboration with data scientists, product managers, and engineering teams to deliver high-quality analytics solutions.
Must have:
  • Provide operational support for KDB+ analytics system and tooling.
  • Actively participate in the design, development, and implementation of new analytics solutions on GCP.
  • Utilize GCP's real-time analytics stack to build robust and scalable data pipelines.
  • Develop and maintain dashboards and reports using Looker/Tableau.
  • Proven experience with GCP's analytics services, including BigQuery, Pub/Sub, and Looker.
  • Minimum proficiency with KDB+ and the Q language for maintenance and troubleshooting.
  • Strong proficiency in SQL for querying, data manipulation, and performance tuning.
  • Experience with data modeling techniques for data warehouses.
  • Familiarity with a scripting language like Python or Bash for automation.
Good to have:
  • Experience with other GCP services like Cloud Functions, Cloud Storage, or VPC.
  • Knowledge of distributed systems and real-time data processing architectures.
  • Familiarity with financial data and trading systems.
  • Experience with version control systems, such as Git.

Job Details

Key Responsibilities:

  • Provide operational support for our analytics system built on the KDB+ database management system and tooling. This includes monitoring performance, troubleshooting issues, and maintaining data pipelines to ensure system stability.
  • Actively participate in the design, development, and implementation of new analytics solutions on GCP. This will involve refactoring existing workflows and building new capabilities using native GCP services.
  • Utilize GCP's real-time analytics stack to build robust and scalable data pipelines. This includes leveraging Pub/Sub for messaging and Dataflow or similar services for data processing.
  • Develop and maintain dashboards and reports using Looker/Tableau to provide business users with actionable insights. This involves defining LookML models and creating visualizations.
  • Work closely with data scientists, product managers, and other engineering teams to understand requirements and deliver high-quality analytics solutions

Principal Accountabilities:

  • Conducts full system testing skills.
  • Demonstrates expertise in design and analysis patterns; Identifies best practices, and promotes standards and best practices across development teams.
  • Develops designs for all aspects of a system as well as mentors leads in design process.
  • Exhibits expert SQL knowledge, Proficient in database modeling and expert in database tuning.
  • Exhibits highly advanced language proficiency and independently writes application modules and unit tests and mentors leads on multiple projects and enforces architectures; Influences others across company divisions.
  • Optimizes solution intricacies; Ensures best practices are followed; Reviews environment build deployments, release notes and build notices.

Required Skills & Qualifications:

  • GCP Analytics: Proven experience with GCP's analytics services, including BigQuery, Pub/Sub, and Looker.
  • KDB+ & Q language: A minimum level of proficiency with KDB+ and the Q language to perform daily maintenance and troubleshooting. This is not a development-heavy role, but you must be able to "keep the lights on" for our existing systems.
  • SQL Expertise: Strong proficiency in SQL is essential for querying, data manipulation, and performance tuning in BigQuery.
  • Data Modeling: Experience with data modeling techniques for both traditional and cloud-based data warehouses.
  • Scripting/Programming: Familiarity with a scripting language like Python or Bash for automation and data pipeline management.
  • Problem-Solving: Excellent analytical and problem-solving skills with a keen attention to detail.

Preferred Qualifications

  • Experience with other GCP services like Cloud Functions, Cloud Storage, or VPC.
  • Knowledge of distributed systems and real-time data processing architectures.
  • Familiarity with financial data and trading systems.
  • Experience with version control systems, such as Git.

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About The Company

As the world’s leading derivatives marketplace, CME Group is where the world comes to manage risk. We enable clients to trade futures, options, cash and OTC markets, optimize portfolios, and analyze data – empowering market participants worldwide to efficiently manage risk and capture opportunities. CME Group exchanges offer the widest range of global benchmark products across all major asset classes based on interest rates, equity indexes foreign exchange energy agricultural products and metals. We meet uncertainty and volatility with confidence and clarity, across the trading lifecycle and around the world.

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