Data Engineer

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Data Engineer

@ CGI

Position Description:

CGI is seeking a highly skilled Data Engineer to join our team supporting the Insight data platform. This role is responsible for the technical operation, reliability, and continuous improvement of a complex enterprise data pipeline that integrates ERP and operational data from multiple source systems into downstream analytics and reporting environments.

The successful candidate will own the technical health of the Insight pipeline, supporting data ingestion, change data capture (CDC), transformation processing, reporting integrations, and platform operations. This is a hands-on engineering role requiring strong experience across data integration, streaming technologies, cloud infrastructure, Snowflake, and Power BI. You will work closely with engineering, operations, and product teams to ensure data accuracy, platform stability, and successful delivery of enhancements and operational support activities across client environments.

Location: This role must be performed in CGI Lafayette, LA office.

Your future duties and responsibilities:

• Data Pipeline & Platform Operations
  • Configure, deploy, and tune Debezium source and integration connectors for Oracle, PostgreSQL, and SQL Server environments.
  • Manage Kafka topics, offsets, Schema Registry artifacts, and connector configurations.
  • Operate and optimize Kafka, Zookeeper, Schema Registry, and Kafka Connect workloads running on Azure Kubernetes Service (AKS) via Rancher.
  • Coordinate controlled restarts, workload tuning, and resource allocation changes as needed.
• Snowflake Engineering
  • Develop and maintain Snowflake transformation logic, including:
    • Streams
    • Tasks
    • Stored Procedures
    • Retention configurations
  • Query performance tuning
  • Monitor and troubleshoot data processing workflows to ensure accuracy and reliability.
• Power BI Development
  • Build and extend Power BI semantic models and reporting solutions.
  • Design and maintain:
    • Data models
    • DAX measures
    • Row-Level Security (RLS)
    • Incremental refresh processes
    • Gateway and workspace configurations
  • Optimize report and dataset performance against Snowflake-backed data environments.
• Incident Resolution & Operational Support
  • Resolve issues involving:
    • Stale data
    • Replication failures
    • Schema and code defects
    • Stored procedure issues
    • Timeout conditions
    • CDC and stale-stream problems
  • Focus on root-cause remediation rather than temporary workarounds.
• Source Database Activities
  • Lead source database activities including:
    • Refreshes
    • Blue-Green deployments
    • Cadence package upgrades
    • Full-load resynchronization
    • CDC re-enablement
    • DA report validation
• Automation & Observability
  • Improve pipeline observability and operational automation.
  • Support:
    • IAP alert design
    • Automated redeployment processes
    • Connector configuration backup strategies
    • Runbook creation and maintenance
  • Update operational documentation following incident investigations and platform changes.

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Qualifications:

Required qualifications to be successful in this role:

• 8+ years of experience in Data Engineering, Data Platform Engineering, or related enterprise technology environments.
• 3+ years of hands-on experience supporting Kafka, Debezium, Snowflake, and cloud-based data integration platforms in production environments.
• Hands-on production experience with Debezium and Kafka, including: Source and sink connectors ,History topics ,Schema evolution ,Offset management ,Topic rewind and redeployment procedures
• Strong experience with Snowflake, including: Streams ,Tasks , Stored Procedures ,SnowSQL / Snowpipe , Query performance tuning,INFORMATION_SCHEMA diagnostics
• Strong understanding of source database internals, including: Oracle LogMiner SQL Server CDC , PostgreSQL CDC enablement and management
• Experience operating Azure and Kubernetes environments.
• Experience developing Power BI semantic models and reports.
• Experience with code reviews, build/release management, technical documentation, and operational runbooks.

Preferred Qualifications:

• Experience supporting CGI Advantage Financials, HRM, Procurement, or comparable large ERP platforms.
• Experience with Terraform or similar Infrastructure-as-Code tools for connector management, secrets management, and Kubernetes deployments.
• Python or Java experience supporting validation utilities, pipeline tooling, and engineering accelerators.
• Familiarity with automation platforms, APM tools, monitoring solutions, and Jira-based workflows.

Skills:

• Apache Kafka
• Database Mgmt Systems DBMS
• Oracle SQL Server
• Postgre SQL
• Snowflake

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How to Apply:

Apply online at: https://www.cgi.com/en/careers 

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