Role Description A leading educational technology company specializing in cloud-based learning management and student lifecycle solutions. The organization develops a comprehensive learning ecosystem widely adopted across K-12, higher education, and corporate sectors. By integrating advanced analytics and AI-driven credentialing tools, the platform streamlines course administration and helps millions of global users bridge the gap between education and workforce opportunities. - Design, develop, and maintain scalable ELT pipelines and modern data architectures. - Build and optimize data transformation workflows using dbt and SQL. - Collaborate closely with software engineers and product teams to support data-driven applications. - Develop infrastructure as code using Terraform. - Support web application integrations involving Node.js, TypeScript, GraphQL, and React. - Improve data reliability, monitoring, and operational excellence across the platform. - Participate in production support through an on-call rotation (1 week every 4 weeks) and serve as backup on-call engineer for an additional week every 4 weeks. - Collaborate with US-based engineering teams to troubleshoot production issues and continuously improve platform performance. - Contribute to best practices around data engineering, automation, and cloud architecture. Qualifications - Strong experience building ELT pipelines and modern data engineering solutions. - Advanced experience with dbt and SQL. - Hands-on experience with Terraform. - Experience working with web application technologies, including: Node.js, TypeScript, GraphQL, React. - Strong analytical and problem-solving skills. - Experience working in Agile environments. - Excellent communication skills and ability to collaborate with distributed international teams. - English proficiency sufficient to work daily with US-based engineers. Requirements - Nice to have: Snowflake. - AWS. - Apache Airflow. - Looker. - Python. - GitHub. - Experience supporting production environments and participating in on-call rotations. - Experience designing modern cloud-native data platforms. - English level: Upper-Intermediate. Benefits - International projects. - In-office, hybrid, or remote flexibility. - Medical healthcare. - Recognition program. - Ongoing learning & reimbursement. - Well-being program. - Team events & local benefits. - Sports compensation. - Referral bonuses. - Top-tier equipment provision.

Role Description The Senior Engineer, Managed Services is part of the Managed Services team responsible for supporting multiple clients and handling inbound and escalated inquiries on the Service Desk. The ideal candidate is a dedicated, relentless problem solver who applies logic and an instinctive approach to resolving technical issues. This person should enjoy learning new technologies on the fly while solving diverse technical challenges. - Manage service tickets that are assigned to your personal and team queue and respond in agreed upon timeframe. - Provide superior service to customers and clients with limited supervision consistently. - Provide remote hardware/software support, documentation, support logs and other related information throughout triage process. - Act as internal escalation point for other Technicians to engage for technical assistance or process guidance. - Responsible for the management of network, datacenter, security, and voice technologies. - Analyze and troubleshoot the logs and track the nature and resolution of problems. - Use monitoring tools to investigate potential issues or respond to monitoring events. - Assist in monitoring and maintaining network hardware and software. - Interact with telecommunication, hardware and software vendors to drive resolution of issues. - Work directly with multiple advanced technician groups and vendors to escalate technical issues. - Produce detailed service reports regularly and communicate updates or changes internally and to the clients. - Participate in a week-long on-call rotation a few times per year. - Serve as the first escalation point for both internal team members and engage upper management when necessary. Qualifications - Strong oral and written communication skills. - Effective time management and multi-tasking skills. - Ability to stay organized and be detail-oriented. - Demonstrates a passion for solving problems or helping others. - Exceptional organizational skills, including the ability to self-manage and multi-task effectively. - Knowledge of technical imaging, deployment, troubleshooting and technology migration. - Knowledge of all Microsoft 365 offerings and a basic understanding of Active Directory. - Knowledge of server room rack management. - Ability to lift at least 50 pounds and be comfortable with climbing up step ladders. - Confident and comfortable with client facing activity. Requirements - Six years' work experience in an internal IT environment, preferably working in an MSP environment. - Bachelor’s degree in a related discipline. - Experience managing or troubleshooting all Windows desktop and Windows Server (2012-Current) versions. - Experience managing or troubleshooting with Office 365 Exchange online and Microsoft Exchange 2013-Current. - Experience with firewalls and remote access VPNs: Cisco AnyConnect, Meraki, Sonicwall, Fortinet, etc. - Experience with a ticketing system, such as ConnectWise Manage. - Experience supporting virtual desktop environments: Multi-Server Remote Desktop Server farm w/ Secure Gateway is preferred. Benefits - Rich Medical and prescription plans. - Dental & Vision. - Paid Holidays and Flexible Paid Time Off. - 401K/401K Roth with Safe Harbor matching. - Stock Appreciation Rights. - Company-paid life insurance, long-term and short-term disability insurance. - Company-paid mental health support & financial wellness services. - FSA for medical and dependent care. - HSA option with compatible medical plan. - Company-paid training, materials, and exams. - Performance-based bonuses.

Role Description Data integration engineer specialized in designing, developing, and operating enterprise data pipelines on ETL tools; Informatica IDMC (Intelligent Data Management Cloud / IICS) as the primary platform, with strong capabilities in feeding the Databricks Lakehouse. Able to work across cloud-agnostic environments (Azure, AWS, GCP) and to apply AI-assisted development with CLAIRE GPT and CLAIRE Copilot to accelerate the build cycle and reduce time-to-delivery. Key Responsibilities - Design and implement ingestion, transformation, and distribution pipelines with CDI and Cloud Mass Ingestion. - Build and optimize ingestion and ELT into the Databricks Lakehouse using IDMC for Databricks and Delta Lake patterns. - Migrate PowerCenter workloads to IDMC using structured methodology and internal accelerators. - Operate and maintain integration infrastructure (Secure Agents, runtimes) on Azure and AWS under SLA standards. - Apply CLAIRE GPT/Copilot to optimize the mapping development cycle and reduce delivery time. Qualifications - Informatica IDMC · Integration Core - Cloud Data Integration (CDI): Mapping Designer, SQL ELT with pushdown optimization (full/source/target), Taskflows, mapping partitioning, Dynamic Mappings, parameterization, file listeners, intelligent structure models (CLAIRE-powered), and performance tuning. - Cloud Mass Ingestion (CMI): batch and near-real-time ingestion from heterogeneous sources across its variants: Mass Ingestion Databases (CDC), Files, Applications, and Streaming. - Cloud Application Integration (CAI): Process Designer, service connectors, guides, and business processes; API and microservices integration. - PowerCenter to IDMC: migration and modernization of on-premises pipelines using structured methodology, CDI-PC, and migration accelerators. - Platform operations: administration of Secure Agents and runtime environments (Secure Agent Groups), monitoring, and SLA management. - Databricks Integration: IDMC for Databricks, ingestion and ELT into the Databricks Lakehouse with CDI and Cloud Mass Ingestion, Delta Lake load patterns, and SQL ELT pushdown to Databricks SQL. - Connectivity through the Databricks connector (Partner Connect), Unity Catalog awareness, and parameterized job orchestration. - AI-Assisted Development (CLAIRE): CLAIRE GPT / CLAIRE Copilot for assisted generation of mappings, debugging of transformations, and automatic pipeline documentation through natural language within IDMC. - Awareness of the new agentic capabilities (CLAIRE Agents, Fall 2025 release) for headless ingestion and transformation flows. - Platform FinOps: Understanding of the IPU (Informatica Processing Units) consumption model and per-service cost optimization. - Cloud-Agnostic (Complementary): Azure (Azure Data Factory, Data Lake Storage Gen2, Key Vault, Azure Databricks), AWS (Glue, S3, Step Functions, Redshift, Athena, EventBridge), GCP (BigQuery, Cloud Composer - desirable). - IaC & CI/CD for pipelines: Terraform, CloudFormation; GitHub/Bitbucket, Jenkins. - Databases & Platforms: Advanced SQL (Oracle, SQL Server, PostgreSQL, Redshift, Databricks SQL), NoSQL (MongoDB, DynamoDB - desirable), Data Warehouse, Data Lake, and Lakehouse architecture patterns. - Certifications: Informatica Cloud Data Integration Developer, Professional Certification (ICP), Informatica Cloud Application Integration Developer, Professional Certification (desirable), Informatica IDMC Foundation / Data Engineering Foundation, Databricks Certified Data Engineer Associate (desirable), Microsoft Certified: Azure Data Engineer Associate (DP-203) (complementary), AWS Certified Data Engineer / Data Analytics Specialty (complementary). Benefits - Empowerment and rewards are the cornerstone of our career development model. - Professional experience and growth will be unmatched. - Our talent and positive attitude allow us to transform our goals into achievements, and projects into realities. Company Description NTT Data is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class.

• Develop and optimize GPU compute kernels targeting OpenCL and Vulkan compute backends for high-throughput AI/ML workloads. • Design, build, and extend MLIR dialects across multiple abstraction levels—including frontend dialects, graph-level IR, tensor IR (e.g., Linalg, Tensor, TOSA), and runtime/low-level dialects—to enable efficient end-to-end model compilation. • Implement and maintain MLIR-based compiler passes and transformations, including tiling, fusion, bufferization, vectorization, and lowering pipelines targeting OpenCL and Vulkan GPU backends. • Conduct profiling and bottleneck analysis of compiled kernels using GPU counters and vendor-specific profilers, and drive performance improvements through compiler-level optimizations. • Build and maintain GPU runtime infrastructure for both OpenCL and Vulkan, including memory management, pipeline setup, command buffer orchestration, and resource scheduling. • Develop and extend code generation pipelines, enabling automatic lowering from tensor IR through MLIR to efficient OpenCL and Vulkan GPU kernels. • Implement performance-critical schedules—including tiling, loop fusion, parallelism, and caching strategies—within MLIR-based backends targeting OpenCL and Vulkan runtimes. • Collaborate with framework teams to optimize end-to-end model lowering for computer vision and LLM workloads using MLIR compilation stacks. • Design and implement robust compiler and runtime components using modern C/C++, leveraging advanced programming paradigms for high-performance systems.