Position: Production Support Engineer Location: Hyderabad Duration: Fulltime, Permanent Shift Timings: 7:00 PM IST to 4:00 AM IST Position Overview: The Production Support Consultant is a critical role centered on maintaining the robustness and efficiency of our data processing environment. This position requires a hands-on approach to triaging production issues, diving deep into data problems, and refining/optimizing our data pipelines. This is a production support / Devops role which will involve active collaboration with our investment teams, data engineers and data vendors. Responsibilities: Serve as the first line of defense for production issues, swiftly triaging and prioritizing incidents to ensure minimal disruption to business operations. Liaise with external technology vendors and exchanges to coordinate changes and resolve connectivity and market data issues. Collaborate with the data engineering team to streamline and optimize data pipelines, ensuring efficient data flow and quality across the organization. Configure and optimize production vendor data sourcing jobs, ensuring they run reliably and efficiently, and address any scheduling conflicts or failures promptly. Provide timely support to investment researchers for data-related queries and challenges. Engage closely with internal teams on system upgrades, data implementations, and incident post-mortems to prevent future issues. Review and refine current operational processes, introducing tools or methods that can reduce incident recurrence and improve response times. Ability to work in a fast-paced environment and be able to work on multiple projects simultaneously. Requirements: A degree in Computer Science, Data Science, Information Systems, or a related field, or equivalent experience. Experience (7+ years) in triaging and resolving production-level issues in a timely manner. Proficiency in Python, especially in the context of data operations and pipeline optimizations. Practical experience in SQL querying, with the ability to efficiently diagnose and rectify data anomalies. Strong problem-solving skills, with an aptitude for diving deep into complex technical challenges. Familiarity with enterprise technology tools: Linux, SQL Server, GIT. Finance/market data experience: familiarity with vendors such as Bloomberg, Refinitiv, Nasdaq and others is a must. Excellent communication skills, both written and verbal, with the ability to articulate technical issues to non-technical stakeholders. Ability to work during New York daytime hours or New York evening/overnight hours Nice to Haves: Hands-on knowledge of Tidal Enterprise Scheduler, including configuring, optimizing, and troubleshooting. Experience in Python-based data engineering, particularly in optimizing data pipelines and integrations. Understanding of cloud fundamentals and best practices in cloud storage, permissions and cost management. Interested candidates can share your updated resume to vishnu.gadila@cesltd.com Show more Show less