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Job Description
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 OperationsConfigure, 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 EngineeringDevelop and maintain Snowflake transformation logic, including:StreamsTasksStored Procedures Retention configurationsQuery performance tuningMonitor and troubleshoot data processing workflows to ensure accuracy and reliability.Power BI DevelopmentBuild and extend Power BI semantic models and reporting solutions.Design and maintain:Data modelsDAX measuresRow-Level Security (RLS)Incremental refresh processesGateway and workspace configurationsOptimize report and dataset performance against Snowflake-backed data environments.Incident Resolution & Operational SupportResolve issues involving:Stale dataReplication failuresSchema and code defectsStored procedure issuesTimeout conditionsCDC and stale-stream problemsFocus on root-cause remediation rather than temporary workarounds.Source Database ActivitiesLead source database activities including:RefreshesBlue-Green deploymentsCadence package upgradesFull-load resynchronizationCDC re-enablementDA report validationAutomation & ObservabilityImprove pipeline observability and operational automation.Support:IAP alert designAutomated redeployment processesConnector configuration backup strategiesRunbook creation and maintenanceUpdate operational documentation following incident investigations and platform changes.
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 proceduresStrong experience with Snowflake, including: Streams ,Tasks , Stored Procedures ,SnowSQL / Snowpipe , Query performance tuning,INFORMATION_SCHEMA diagnosticsStrong understanding of source database internals, including: Oracle LogMiner SQL Server CDC , PostgreSQL CDC enablement and managementExperience 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 KafkaDatabase Mgmt Systems DBMSOracle SQL ServerPostgre SQLSnowflake
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 proceduresStrong experience with Snowflake, including: Streams ,Tasks , Stored Procedures ,SnowSQL / Snowpipe , Query performance tuning,INFORMATION_SCHEMA diagnosticsStrong understanding of source database internals, including: Oracle LogMiner SQL Server CDC , PostgreSQL CDC enablement and managementExperience 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 KafkaDatabase Mgmt Systems DBMSOracle SQL ServerPostgre SQLSnowflake