Job Title: FIS Line Support
Experience: 1 - 5 years Job Summary & Details:As a Factory Information System (FIS) Line Support Engineer, you will be part of a rotating shift team responsible for first-level technical support. Your key responsibilities include maintaining IT service uptime, ensuring machine connectivity, monitoring application performance, managing data transfers, and updating operational reports. You will also handle incident tracking, escalation, and resolution for issues related to FIS applications, basic networking, databases, servers, and information security compliance—ensuring a safe and efficient production environment. About the role – you will:• Work as part of a 24/7 shift team, providing continuous support to ensure uninterrupted factoryoperations—including nights, weekends, and holidays as scheduled.• Receive and process service requests in accordance with established procedures• Identify and diagnose issues based on provided guidelines• Escalate complex or unresolved incidents promptly to appropriate teams• Log and maintain accurate records of incidents and service requests• Categorize and classify incidents and service disruptions effectively• Document incidents by symptoms and resolutions for future reference• Analyze user-reported problems systematically and identify solutions, including potential sideeffects• Collaborate with global support teams to quickly diagnose and resolve issues, ensuring systemsare restored or responded to as required• Support information security compliance by ensuring all factory clients operate in a secureenvironment aligned with global policies Your experience includes:Must Haveo Customer-Centric Mindset - Always prioritize user satisfaction and system reliability.Treat every issue as important.o Patience and Empathy - Able to calmly assist users who may be frustrated or unfamiliarwith technology.o Responsiveness and Accountability - Quick to respond to issues and take ownership untilresolution.o Attention to Detail - Carefully investigate problems and document findings accurately.o Team Collaboration - Willing to work closely with developers, infrastructure, andbusiness teams.o Basic IT troubleshooting skills (hardware, software, network)
Education:10th/12th Year OR Diploma / Graduate Degree
Applicants must be a Citizen or a Permanent Resident.
Job DescriptionWe are seeking an experienced GCP Data Architect to lead the cloud data modernization initiative for enterprise data platforms, transitioning legacy Teradata data warehouse, Informatica ETL pipelines, and Control-M scheduling into a scalable, secure, and cloud-native architecture on Google Cloud Platform (GCP).
Responsibilities: • Architect and lead the modernization of legacy data warehouse and ETL systems into GCP-native services. • Architect scalable data pipelines using Teradata, Informatica, SQL, BTEQ, and Python to enable reliable enterprise data flows. • Design scalable data warehouse architecture on BigQuery including landing, staging, curated, and consumption layers. • Establish standardized ingestion and orchestration frameworks using Cloud Composer, Dataflow, and Cloud Storage. • Ensure data validation, reconciliation, and functional parity between legacy outputs and GCP-transformed datasets. • Define data modeling standards optimized for BigQuery performance and cost efficiency. • Optimize workloads for performance, scalability, and cost governance on GCP. • Collaborate with business SMEs, data engineering teams, and cloud infrastructure stakeholders. • Lead architecture reviews, assessments, risk mitigation planning, and technical governance throughout the migration lifecycle. • Collaborate with cross-functional teams, stakeholders, and end-users to align data strategies with business needs and regulatory requirements.
Applications must be a Citizen or a Permanent Resident.
Roles & Responsibilities6 to 9 years of hands‑on development experienceStrong experience with big data platformsProficient in Apache Spark and Python development.
Job DescriptionWe are seeking an experienced GCP Data Architect to lead the cloud data modernization initiative for enterprise data platforms, transitioning legacy Teradata data warehouse, Informatica ETL pipelines, and Control-M scheduling into a scalable, secure, and cloud-native architecture on Google Cloud Platform (GCP).
Responsibilities:• Architect and lead the modernization of legacy data warehouse and ETL systems into GCP-native services.• Architect scalable data pipelines using Teradata, Informatica, SQL, BTEQ, and Python to enable reliable enterprise data flows.• Design scalable data warehouse architecture on BigQuery including landing, staging, curated, and consumption layers.• Establish standardized ingestion and orchestration frameworks using Cloud Composer, Dataflow, and Cloud Storage.• Ensure data validation, reconciliation, and functional parity between legacy outputs and GCP-transformed datasets.• Define data modeling standards optimized for BigQuery performance and cost efficiency.• Optimize workloads for performance, scalability, and cost governance on GCP.• Collaborate with business SMEs, data engineering teams, and cloud infrastructure stakeholders.• Lead architecture reviews, assessments, risk mitigation planning, and technical governance throughout the migration lifecycle.• Collaborate with cross-functional teams, stakeholders, and end-users to align data strategies with business needs and regulatory requirements.
