CGI Inc

Oracle EBS HCM Analyst

Position Description

We are seeking an experienced Techno-Functional Oracle EBS HCM Analyst with deep expertise in HR, Payroll, and OTL (Oracle Time & Labor) modules. The ideal candidate will have a strong understanding of both business processes and technical configurations, ensuring seamless integration, support, and optimization of the Oracle EBS HCM system across multiple GREs and payrolls.

Key Responsibilities:

Configure, maintain, and support Oracle EBS HCM modules including Core HR, Payroll, and OTL.

Manage and support multiple payrolls across several GREs, ensuring accuracy and compliance with organizational and statutory requirements.

Develop, troubleshoot, and optimize Payroll Fast Formulas and related functions.

Ensure compliance with federal and state tax withholding rules and minimum wage regulations.

Perform data validation, extracts, and reporting using SQL and other tools.

Create and maintain end-user documentation, training materials, and functional specifications.

Handle Service Requests (SRs) — creation, tracking, and resolution through Oracle Support or internal teams.

Collaborate with cross-functional teams to support IT and regression testing for patches, upgrades, and other system changes.

Analyze and resolve technical and functional issues impacting HR, Payroll, and OTL operations.

Partner with HR and Payroll business users to identify improvement opportunities and implement system enhancements.

Required Skills & Qualifications:

15+ years of techno-functional experience in Oracle EBS HCM (R12 or higher).

In-depth understanding of HR, Payroll, and OTL configurations and schemas.

Strong experience with Payroll Fast Formulas and core payroll functions.

Expertise in SQL for queries, data validation, and reporting.

Sound knowledge of tax rules, wage compliance, and statutory requirements.

Proven ability to support multiple GREs and payrolls simultaneously.

Experience with testing processes — IT, UAT, and regression testing.

Strong documentation, training, and communication skills.

Proven track record of handling SR lifecycle management effectively.

Nice to Have:

Experience with Oracle EBS R12.2 or higher versions.

Familiarity with Oracle Cloud HCM (for potential migration or hybrid environments).

Exposure to integration tools (e.g., WebADI, BI Publisher, or OTBI).

Role Overview

Provide advanced (L3) technical support for Citrix environments, ensuring high availability, performance, and security of virtual applications and desktops. This role involves handling complex escalations, root cause analysis, and implementing solutions for enterprise-level Citrix infrastructure.

Key Responsibilities

• Escalation Support: Act as the highest-level escalation point for Citrix-related incidents and problems.
• Citrix Infrastructure Management: Administer and maintain Citrix XenApp/XenDesktop farms, Citrix ADC (NetScaler), and Citrix Provisioning Services.
• Troubleshooting & RCA: Perform deep-dive troubleshooting and root cause analysis for critical issues.
• Performance Optimization: Monitor and tune Citrix environments for optimal performance using tools like Citrix Director and EdgeSight.
• Patch & Upgrade Management: Plan and execute upgrades, migrations (e.g., XenApp 6.5 to 7.x), and security patches.
• Automation & Scripting: Develop PowerShell scripts for automation and efficiency improvements.
• Integration: Collaborate with VMware/Hyper-V teams for VDI and virtualization support.
• Documentation: Maintain detailed technical documentation and knowledge base articles.
• Security & Compliance: Ensure adherence to ITIL processes and security best practices.

Required Skills & Experience

• Technical Expertise:
• Citrix Virtual Apps and Desktops (XenApp/XenDesktop)
• Citrix ADC (NetScaler), Citrix Provisioning Services
• Active Directory, DNS, DHCP
• Tools: Citrix Director, EdgeSight, Citrix Studio
• Certifications: Citrix Certified Expert (CCE-V) or Citrix Certified Professional (CCP-V) preferred; ITIL Foundation a plus.
• Scripting: Strong PowerShell skills for automation.
• Soft Skills: Excellent problem-solving, communication, and ability to work in global teams.

Google Data Engineer - SSE

Position Description

Google Cloud Data Engineer

Notice Period: Immediate to 30 days serving

Job Description:

We are seeking a highly skilled Data Engineer with extensive experience in Google Cloud Platform (GCP) data services and big data technologies. The ideal candidate will be responsible for designing, implementing, and optimizing scalable data solutions while ensuring high performance, reliability, and security.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines and architectures using GCP data services.

• Implement and optimize solutions using BigQuery, Dataproc, Composer, Pub/Sub, Dataflow, GCS, and BigTable.

• Work with GCP databases such as Bigtable, Spanner, CloudSQL, AlloyDB, ensuring performance, security, and availability.

• Develop and manage data processing workflows using Apache Spark, Hadoop, Hive, Kafka, and other Big Data technologies.

• Ensure data governance and security using Dataplex, Data Catalog, and other GCP governance tooling.

• Collaborate with DevOps teams to build CI/CD pipelines for data workloads using Cloud Build, Artifact Registry, and Terraform.

• Optimize query performance and data storage across structured and unstructured datasets.

• Design and implement streaming data solutions using Pub/Sub, Kafka, or equivalent technologies.

Required Skills & Qualifications:

• 8-15 years of experience

• Strong expertise in GCP Dataflow, Pub/Sub, Cloud Composer, Cloud Workflow, BigQuery, Cloud Run, Cloud Build.

• Proficiency in Python and Java, with hands-on experience in data processing and ETL pipelines.

• In-depth knowledge of relational databases (SQL, MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Scylla, Cassandra, DynamoDB).

• Experience with Big Data platforms such as Cloudera, Hortonworks, MapR, Azure HDInsight, IBM Open Platform.

• Strong understanding of AWS Data services such as Redshift, RDS, Athena, SQS/Kinesis.

• Familiarity with data formats such as Avro, ORC, Parquet.

• Experience handling large-scale data migrations and implementing data lake architectures.

• Expertise in data modeling, data warehousing, and distributed data processing frameworks.

• Deep understanding of data formats such as Avro, ORC, Parquet.

• Certification in GCP Data Engineering Certification or equivalent.

Good to Have:

• Experience in BigQuery, Presto, or equivalent.

• Exposure to Hadoop, Spark, Oozie, HBase.

• Understanding of cloud database migration strategies.

• Knowledge of GCP data governance and security best practices.

Full Stack Engineer

Position Description

Responsibilities

• Take design mockups provided by UX/UI designers and translate them into web pages or applications using HTML and CSS. Ensure that the design is faithfully replicated in the final product.

• Develop enabling frameworks and application E2E and enhance with data analytics and AI enablement

• Ensure effective Design, Development, Validation and Support activities in line with the Customer needs, architectural requirements, and ABB Standards.

• Support ABB business units through consulting engagements.

• Develop and implement machine learning models to solve specific business problems, such as predictive analytics, classification, and recommendation systems

• Perform exploratory data analysis, clean and preprocess data, and identify trends and patterns.

• Evaluate the performance of machine learning models and fine-tune them for optimal results.

• Create informative and visually appealing data visualizations to communicate findings and insights to non-technical stakeholders.

• Conduct statistical analysis, hypothesis testing, and A/B testing to support decision-making processes.

• Define the solution, Project plan, identifying and allocation of team members, project tracking; Work with data engineers to integrate, transform, and store data from various sources.

• Collaborate with cross-functional teams, including business analysts, data engineers, and domain experts, to understand business objectives and develop data science solutions.

• Prepare clear and concise reports and documentation to communicate results and methodologies.

• Stay updated with the latest data science and machine learning trends and techniques.

• Familiarity with ML Model Deployment as REST APIs.

Background

• Engineering graduate / Masters degree with rich exposure to Data science, from a reputed institution

• Create responsive web designs that adapt to different screen sizes and devices using media queries and responsive design techniques.

• Write and maintain JavaScript code to add interactivity and dynamic functionality to web pages. This may include user input handling, form validation, and basic animations.

• Familiarity with front-end JavaScript libraries and frameworks such as React, Angular, or Vue.js. Depending on the projects, you may be responsible for working within these frameworks

• Atleast 6+ years experience in AI ML concepts, Python (preferred), prefer knowledge in deep learning frameworks like PyTorch and TensorFlow

• Domain knowledge of Manufacturing/ process Industries, Physics and first principle based analysis

• Analytical thinking for translating data into meaningful insight and could be consumed by ML Model for Training and Prediction.

• Should be able to deploy Model using Cloud services like Azure Databricks or Azure ML Studio. Familiarity with technologies like Docker, Kubernetes and MLflow is good to have.

• Agile development of customer centric prototypes or ‘Proof of Concepts’ for focused digital solutions

• Good communication skills must be able to discuss the requirements effectively with the client teams, and with internal teams.

Position: Network Security Operations Tech Support

Experience: 6 – 8 Years

Location: Bangalore

Notice Period: Immediate Joiners

Role Summary:

Provide technical support for Airbus' network security operations and projects. Help manage incidents, troubleshoot problems, and improve operational performance and reliability.

Key Responsibilities:

•                    Troubleshoot and resolve network security issues (incidents/problems)

•                    Work with users and technical teams for issue resolution

•                    Support security operations tools and processes

•                    Track project deliverables and service KPIs

•                    Assist in documentation and quality reviews

•                    Use ServiceNow for issue tracking and follow-up

•                    Collaborating with Tech Specialists on ongoing projects

•                    Support service delivery and ensure SLAs are met

•                    Coordinate upgrades and support infrastructure changes

Technical Skills Required:

•                    Must-have tools: Palo Alto (firewalls)

•                    F5 (load balancers)

•                    Netskope (cloud security)

•                    Proxy & other infrastructure security tools

•                     

•                    Additional skills: Service management experience (incident, change, problem management)

•                    Good communication skills

•                    Experience with network security monitoring and performance tools

Key Skills:

1. Networking, Network Security, Proxy. Cloud Security
2. Incident Manager, Service Level Manager, SLA, Major Incident Manager, Problem Manager, ITIL, ITSM,

Application Monitoring

Position Description

JD2 – SRE: Digital Channels Application Support

Experience: 6–9 years in Production Application Support / Site Reliability Engineering (Banking/Financial Services)

Work Model: 24x7 rotational shifts, ODC environment (no personal digital devices)

Responsibilities

Act as SRE for Digital Banking, Middleware, and Infra components.

Provide production support for Internet Banking, Mobile Banking, Cards, Payments, Digital Wallets, APIs.

Troubleshoot customer authentication flows (SSO, OAuth, 2FA, session management).

Lead and drive P1/P2 bridge calls, coordinating with app, infra, DB, and network teams.

Support API-driven integrations with third-party fintech/payment partners.

Perform proactive monitoring, certificate renewals, and infra health checks.

Enhance observability (Dynatrace, Logscale, Splunk, Grafana, Bigpanda, ThousandEyes).

Propose and implement automation solutions (Jenkins, Ansible AWX, Python, Shell) to reduce manual work.

Support release and deployment readiness for digital channels in ODC environment.

Conduct RCA for major incidents and recommend resilience & scalability improvements.

Monitor SLIs/SLOs for digital user experience (latency, availability, throughput).

Ensure security & compliance for API and digital banking platforms (SSL/TLS, PCI, fraud monitoring).

Partner with client stakeholders to maintain operational stability and high availability.

Collaborate with business stakeholders on banking-critical issues and ensure compliance with SLAs and regulatory standards.

Participate in DR drills, HA testing, and compliance audits.

Core Technologies (L2 / Deep Knowledge)

OpenShift (Kubernetes), Linux/Unix/Windows, Database, Networking, Middleware.

Common Tools (L1.5 – Awareness for All)

Bigpanda, Grafana, ThousandEyes, Splunk, ServiceNow, Jira, Confluence, Netcool, Siren, Glassbox.

Must Have Skills

Strong experience in Digital Banking & Middleware application support.

Hands-on experience with Internet/Mobile banking platforms, card services, and payment gateways.

Infra knowledge (servers, certificates, OS, networking).

Strong observability and monitoring (Dynatrace, Logscale, Splunk).

Incident management & RCA leadership, especially in client-facing bridge calls.

Strong Knowledge of ITIL processes (Incident, Problem, Change, Major Incident Management).

Awareness of banking compliance standards (PCI-DSS, SOX, InfoSec policies).

Ability to work under strict SLAs and regulatory environments.

Nice to Have

Kafka, VFaas, F5/Datapower, Akamai Control Center.

Salesforce (Apex), Pega, SharePoint.

Java, Node.js, JavaScript, Python, C#.

ETL, Hadoop, Teradata, Bigdata.

Evolven, Ansible AWX, CI/CD and automation (Jenkins, Ansible).

Job Summary:

We are looking for a highly motivated and skilled Service Desk Analyst with expertise in call handling and ticket management. The ideal candidate should possess strong troubleshooting skills, experience with ITSM tools, and familiarity with US customer support in a 24x7 operational environment. Retail domain knowledge and certifications such as ITIL, Google, or AWS will be an added advantage.

Key Responsibilities:

• Handle inbound calls and manage IT service requests and incidents efficiently

• Create, update, and resolve tickets using tools such as ServiceNow, BMC Remedy, etc.

• Provide support for client environments including AVDI, Citrix, and Windows-based systems

• Perform basic Windows OS and network connectivity troubleshooting

• Update and maintain Knowledge Base (KB) articles

• Ensure shift adherence and active participation in shift handovers and team huddles

• Collaborate with cross-functional teams for issue resolution

• Support retail technologies such as POS systems, pin pads, MDM, and virtual interfaces

• Maintain high levels of customer satisfaction through professional communication and timely resolution

Required Skills:

• Proven experience in a service desk/call center role handling US customers

• Hands-on experience with ITSM tools like ServiceNow, BMC Remedy

• Familiarity with Citrix, AVDI, and Windows troubleshooting

• Basic understanding of network connectivity (LAN/Wi-Fi/IP-related issues)

• Excellent verbal and written communication skills

• Ability to work in a night shift and rotational 24x7 schedule

• Strong team collaboration and time management skills

Java, JEE, RESTful web service, Spring Boot/MVC, Hibernate,Angular/Angular js

• Has worked on Platform Modernization Project
• Troubleshoot and fix defects for planned releases and production issues
• Should have experience working in Development Project
• Should be result-oriented
• Should be able to work both independently and in teams
• Should have ability to multi-task and prioritize across multiple projects
• Should be flexible with work timings