Lead - Data Engineer

Overview

Position Description

Founded in 1976, CGI is among the largest independent IT and business consulting services firms in the world. With 94,000 consultants and professionals across the globe, CGI delivers an end-to-end portfolio of capabilities, from strategic IT and business consulting to systems integration, managed IT and business process services and intellectual property solutions. CGI works with clients through a local relationship model complemented by a global delivery network that helps clients digitally transform their organizations and accelerate results. CGI Fiscal 2024 reported revenue is CA$14.68 billion and CGI shares are listed on the TSX (GIB.A) and the NYSE (GIB). Learn more at cgi.com.

Job Title: Lead - Data Engineer

Position: Lead Analyst

Experience: 10 - 14 Years

Category: Software Development/ Engineering

Shift: Hybrid - (1PM to 10 PM Shift)

Main location: Hyderabad

Position ID: J1025-1194

Employment Type: Full Time

Education Qualification: Bachelor's degree in Computer Science or related field or higher with minimum 6 years of relevant experience.

Position Description: We are looking for a highly hands-on Data Engineer – Technical Lead who will own IT-side deployments, release engineering, and production support across the enterprise analytics stack: Databricks, Denodo, Tableau, and Power BI. This role will design and run CI/CD pipelines, automate environment promotions (Dev → QA/UAT → Prod), manage Airflow orchestration, support Python-based packaging and scripting, and ensure stable, secure, and compliant production operations.

You will act as the technical backbone for business teams—ensuring platforms and reporting tools are reliably deployed, monitored, and supported.

Your future duties and responsibilities

• Platform Deployment & Release Engineering (Databricks + Analytics Tools)
• Lead and implement end-to-end CI/CD using Jenkins pipelines (or equivalent) for:
• Databricks (jobs/workflows, notebooks, repos, libraries/wheels, cluster policies/configs, secrets integration).
• Denodo (deployment/migration of views, data services, connectors, caching-related configs as applicable).
• Tableau (publishing/promoting workbooks, data sources, extract refresh scheduling, server deployment support).
• Power BI (workspace/pipeline promotions, dataset refresh gateway coordination, deployment pipeline support).
• Define deployment standards: versioning, approvals, change control, rollback strategy, release notes.
• Maintain and standardize YAML-driven configuration and environment parameterization.
• Orchestration & Automation
• Build and maintain Airflow DAGs for orchestration, including integrations with Databricks jobs and downstream dependencies.
• Create automation scripts for:
• Environment validation (pre/post deploy checks)
• Smoke tests and connectivity checks
• Job health checks and SLA verification
• Production Support & Operational Excellence (L2/L3)
• Own production support for Databricks + Denodo + Tableau + Power BI:
• Incident triage, deep troubleshooting, RCA, and permanent fixes.
• Handle performance issues (pipeline latency, refresh failures, cache issues, concurrency bottlenecks).
• Implement monitoring/alerting for:
• Job failures, cluster health, pipeline SLAs, refresh schedules, platform uptime.
• Build runbooks, on-call procedures, and operational playbooks.
• Security, Governance & Compliance Support
• Implement secure deployment patterns:
• Secrets management, least privilege access, controlled promotions, audit trails.
• Ensure audit-ready traceability for deployments and environment changes across tools.
• Partnering with Business & Data Teams
• Act as a technical enabler for business users and reporting teams:
• Ensure reliable publishing, refresh, and consumption paths for dashboards/reports.
• Standardize production-readiness (logging, parameterization, idempotency, error handling).
• Mentor engineers and raise engineering standards for deployments and support.
  
  

• 8–14+ years in data engineering / platform engineering / DevOps / production support roles.
• Strong hands-on experience with Databricks on cloud (AWS/Azure): jobs, workflows, clusters, libraries, repos.
• Strong Jenkins CI/CD experience: pipeline design, branching strategy, release management, environment promotion.
• Strong Airflow experience: DAG design, scheduling, operational handling, dependency patterns.
• Strong Python + scripting (Shell/Bash): automation, packaging, deployment utilities.
• Strong experience with YAML and configuration-as-code practices.
• Strong Git practices (PR workflow, tagging/releases) and production change discipline.
• Hands-on deployment/support experience for at least 2 of the following:
• Denodo
• Tableau Server/Cloud
• Power BI Service (including deployment pipelines/gateway coordination)
  
  

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…

You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.

Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.

You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

Come join our team—one of the largest IT and business consulting services firms in the world.