Production Support Engineer-Abinitio Big Data

Job Summary:

We are seeking an experienced professional (6+ years) to join our Application and Production Support team. The ideal candidate will bring a strong blend of technical expertise (Unix/Linux, advanced SQL, Big Data ecosystems, Autosys, and ITIL frameworks) alongside deep domain knowledge in financial services (e.g., Securities, Secured Financing, Rates, Derivatives, Liquidity Reporting, Front-to-Back Office workflows, and the end-to-end trading lifecycle).

Key Responsibilities:

• Provide L2/L3 production support for mission-critical liquidity reporting and financial applications, ensuring maximum uptime, system stability, and optimal performance.
• Monitor, investigate, and resolve incidents impacting trade capture, batch processing, position keeping, market data feeds, pricing engines, risk analytics, and liquidity reporting.
• Proactively track and manage alerts, system logs, and scheduled jobs using Autosys, Unix utilities, and enterprise monitoring platforms (e.g., ITRS Geneos, AWP, Grafana, Airflow, Splunk).
• Execute advanced SQL queries and diagnostic scripts for in-depth data validation, reconciliation, trend analysis, and issue remediation.
• Support and maintain multi-tier applications built on Stored Procedures, SSIS, SSRS, and Big Data platforms (Hadoop, Hive, Spark) while diagnosing and resolving data pipeline bottlenecks.
• Maintain, streamline, and author knowledge articles, Standard Operating Procedures (SOPs), and operational runbooks.
• Actively participate in change management, release governance, and post-deployment validation activities.
• Lead Root Cause Analysis (RCA) investigations, drive post-incident reviews (PIR), and implement permanent corrective actions.
• Partner closely with infrastructure, database, and platform engineering teams on capacity planning, performance tuning, and resilience initiatives.
• Drive continuous service improvement, system reliability management, and support automation initiatives to minimize operational toil.

Required Skills & Qualification:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field.
• 6+ years of hands-on experience in application/production support, including 2+ years operating in a senior or advanced capacity.
• Strong hands-on technical proficiency with:
  • Unix/Linux (shell scripting, file manipulation, process/job management, and diagnostic tools)
  • SQL & Databases (Oracle or equivalent, complex Stored Procedures)
  • ETL(preferably AB Initio)
  • Big Data Ecosystems (Hadoop, Hive, Spark)
  • Job Scheduling & Workload Automation (Autosys or Control Center equivalent enterprise schedulers)
  • Log & System Monitoring Tools (ITRS Geneos, AWP, Airflow, Splunk, or similar log analyzers)
• Solid understanding of financial instruments and trade lifecycles (Equities, Fixed Income, Secured Financing / Repo, Derivatives, and Liquidity Management).
• In-depth understanding of front-office, middle-office, and back-office operations as well as regulatory and financial reporting workflows.
• Outstanding analytical, troubleshooting, and problem-solving skills with the ability to manage high-priority incidents in a fast-paced environment.
• Strong communication, collaboration, and stakeholder management skills across both technical and business functions.

Practical experience applying ITIL service management processes (Incident, Problem, Change, and Release Management).

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