Senior SRE/Support Engineer

Gemini Solutions Pvt. ltd.; Panchkula; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Gemini Solutions Pvt. ltd. is seeking a highly skilled DevOps/SRE focused on market data platforms and Python-driven automation. The role emphasizes production support, data quality validation, and robust monitoring across data pipelines.

You will work with data teams, business stakeholders, and vendors to ensure reliable, timely delivery of accurate market and investment data to downstream systems, with emphasis on incident management and operational observability.

Qualifications

• Strong Python production experience for data orchestration, processing, monitoring automation, log parsing and incident remediation tools.
• Advanced SQL/Oracle skills for data validation, reconciliation, root-cause analysis and troubleshooting.
• Solid understanding of end-to-end data pipelines, dependencies, data lineage, SLAs, and data reprocessing.
• Hands-on with GitLab for CI/CD pipelines and repository management.
• Familiarity with market data workflows, feed types (SFTP, APIs) and validation of pricing/reference data.
• Experience with Bloomberg, Refinitiv, and similar API-based data providers.
• Working knowledge of AWS core services (S3, Lambda, Step Functions, IAM).

Responsibilities

• Incident Resolution & Production Support: investigate and resolve data, job, and infra issues.
• Data Quality & Validation: analyze market/investment data using SQL and reconcile anomalies.
• Monitoring & Observability: build dashboards and alerts (Datadog, Splunk, AWS).
• Operational Documentation & Runbooks: maintain runbooks and post-incident learnings.
• Collaborate with data teams, business stakeholders, and vendors for timely data delivery.
• Data Workflow Reliability: monitor pipelines, ensure SLAs, support data apps.
• Identify opportunities to automate and improve reliability.
• Market Data Integration Support: manage data feeds via SFTP, drops, APIs.

Skills

Python

SQL/Oracle

Data Flow & Pipeline Fundamentals

GitLab

Market Data Knowledge

Market Data Vendor Platforms

AWS Core Services

Tools

Datadog

Splunk

AWS

Job description

We are seeking a highly skilled DevOps/Site Reliability Engineer (SRE) with strong expertise in market data platforms, Python, production support, and DevOps tools. The role focuses on ensuring reliability, performance, and data quality of market and investment data pipelines. The candidate will handle production support, incident management, and automation, while collaborating with data teams, business stakeholders, and vendors to ensure seamless operations and timely delivery of accurate, high-quality data to downstream users.

POSITION RESPONSIBILITIES

• 1. Incident Resolution & Production Support. Investigate and resolve job failures, delayed or missing data, application issues, infrastructure problems, and vendor feed disruptions. Coordinate with internal teams and external data vendors to restore services quickly and minimize business impact.
• 2. Data Quality & Validation. Validate, reconcile, and analyze market and investment data using SQL. Identify root causes of data anomalies before downstream consumption.
• 3. Monitoring & Observability. Design, implement, and maintain dashboards and alerts using Datadog, Splunk, and AWS services. Automate health checks and enable proactive monitoring for data pipelines and applications.
• 4. Operational Documentation & Runbooks. Create and maintain accurate runbooks, workflows, and operational documentation. Capture post-incident learnings and drive preventive improvements.
• Partner with business users, data engineering teams, and market data vendors to ensure smooth data delivery and timely issue resolution.
• 6. Data Workflow Reliability. Monitor pipeline health, enforce SLAs, and ensure consistent end-to-end data flow. Support production data pipelines and investment data applications.
• Identify opportunities to enhance automation, monitoring, and operational efficiency. Reduce manual intervention and improve overall system reliability.
• 8. Market Data Integration Support. Manage and troubleshoot third-party data feeds such as SFTP, file drops, and APIs. Ensure data accuracy, completeness, and uninterrupted ingestion.
• SQL/Oracle: Advanced ability to write complex queries for data validation, reconciliation, root-cause analysis, and troubleshooting delayed or incorrect datasets.
• Data Flow & Pipeline Fundamentals: Solid understanding of end-to-end data pipelines, dependencies, data lineage, SLAs, critical path analysis, job failure triage, and data reprocessing.
• GitLab: Hands-on experience with version control, repository management, and CI/CD pipelines for deploying automation and workflows.
• Market Data Knowledge: Familiarity with file drops, SFTP, APIs, streaming feeds, and validation of pricing, reference data, and corporate actions.
• Market Data Vendor Platforms: Experience with Bloomberg, Refinitiv, and similar API-based providers.
• AWS Core Services: Working knowledge of S3, Lambda, Step Functions, and IAM for secure, event-driven processing.

EXPERIENCE AND REQUIRED SKILL SETS

• Python: Strong experience in developing production-ready scripts for data orchestration, processing, monitoring automation, log parsing, alerting, and incident remediation tools.
• SQL/Oracle: Advanced ability to write complex queries for data validation, reconciliation, root-cause analysis, and troubleshooting delayed or incorrect datasets.
• Data Flow & Pipeline Fundamentals: Solid understanding of end-to-end data pipelines, dependencies, data lineage, SLAs, critical path analysis, job failure triage, and data reprocessing.
• GitLab: Hands-on experience with version control, repository management, and CI/CD pipelines for deploying automation and workflows.
• Market Data Knowledge: Familiarity with file drops, SFTP, APIs, streaming feeds, and validation of pricing, reference data, and corporate actions.
• Market Data Vendor Platforms: Experience with Bloomberg, Refinitiv, and similar API-based providers.
• AWS Core Services: Working knowledge of S3, Lambda, Step Functions, and IAM for secure, event-driven processing.