Lead Data Engineer

Position Description:

Founded in 1976 CGI is among the largest independent IT and business consulting services firms in the world. With 94000 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 .
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: Bachelors 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 teamsensuring platforms and reporting tools are reliably deployed monitored and supported.

Your future duties and responsibilities:

A) Platform Deployment & Release Engineering (Databricks Analytics Tools)
Lead and implement end-to-end CI/CD using Jenkins pipelines (or equivalent) for:
oDatabricks (jobs/workflows notebooks repos libraries/wheels cluster policies/configs secrets integration).
oDenodo (deployment/migration of views data services connectors caching-related configs as applicable).
oTableau (publishing/promoting workbooks data sources extract refresh scheduling server deployment support).
oPower 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.
B) Orchestration & Automation
Build and maintain Airflow DAGs for orchestration including integrations with Databricks jobs and downstream dependencies.
Create automation scripts for:
oEnvironment validation (pre/post deploy checks)
oSmoke tests and connectivity checks
oJob health checks and SLA verification
C) Production Support & Operational Excellence (L2/L3)
Own production support for Databricks Denodo Tableau Power BI:
oIncident triage deep troubleshooting RCA and permanent fixes.
oHandle performance issues (pipeline latency refresh failures cache issues concurrency bottlenecks).
Implement monitoring/alerting for:
oJob failures cluster health pipeline SLAs refresh schedules platform uptime.
Build runbooks on-call procedures and operational playbooks.
D) Security Governance & Compliance Support
Implement secure deployment patterns:
oSecrets management least privilege access controlled promotions audit trails.
Ensure audit-ready traceability for deployments and environment changes across tools.
E) Partnering with Business & Data Teams
Act as a technical enabler for business users and reporting teams:
oEnsure reliable publishing refresh and consumption paths for dashboards/reports.
oStandardize production-readiness (logging parameterization idempotency error handling).
Mentor engineers and raise engineering standards for deployments and support.

Required qualifications to be successful in this role:

814 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:
oDenodo
oTableau Server/Cloud
oPower BI Service (including deployment pipelines/gateway coordination)

Skills:

• Cloud Computing
• Data Analysis
• Data Warehousing
• Python
• Snowflake
• SQL

What you can expect from us:

Together as owners lets turn meaningful insights into action.

Life at CGI is rooted in ownership teamwork respect and belonging. Here youll 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. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction.

Your work creates value. Youll 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.

Youll shape your career by joining a company built to grow and last. Youll 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 teamone of the largest IT and business consulting services firms in the world.