YSSY

Analyst

• Administer and support observability and monitoring tools
• Implement dashboards, alerts, reports, and event correlations
• Proactively identify incidents and perform root cause analysis
• Support infrastructure, network, cloud, and application teams
• Develop and maintain integrations between tools
• Tune monitoring solutions and drive continuous improvement of the environment
• Track availability, capacity, and performance indicators
• Participate in the implementation and enhancement of observability platforms

Observability Analyst

Business Analyst

• Manage ITSM tickets related to support for Identity and Privileged Access Management solutions
• Coordinate support processes with vendors and specialists, including ticket creation, categorization, prioritization, and end-to-end follow-up
• Track tickets and monitor SLAs, keeping deadlines and statuses up to date
• Address questions and communicate with clients, following up on requests in progress
• Document completed procedures clearly and consistently
• Schedule and organize maintenance windows with clients and the technical team
• Create and maintain knowledge bases (KBs) based on activities performed by specialists
• Support specialists with operational activities involving identity and access solutions

Identity Management Analyst, Junior

Data Engineer

• Develop and maintain data ingestion, transformation, and loading pipelines (ETL/ELT)
• Build integration processes between different data sources
• Develop SQL queries for data analysis and processing
• Support the development and evolution of Data Lakes, Data Warehouses, and Lakehouse architectures
• Work with large volumes of structured and semi-structured data
• Participate in the enhancement of clients’ data platforms
• Support the implementation of DataOps, version control, and data quality best practices
• Collaborate with architects, analysts, data scientists, and developers
• Document implemented processes, workflows, and solutions

Junior Data Engineer

• Design and review the architecture of the analytical Lakehouse environment, including the layer model and object materialization strategies
• Define modeling, versioning, and implementation standards for the entire squad
• Lead the assessment and definition of object orchestration and versioning standards
• Implement engineering and DataOps processes, including Git version control, deployment tracking, pre-deployment backups, and deterministic rollback
• Define the architecture for unstructured data solutions, including proof-of-concept development and evaluation of approaches
• Perform the technical approval of delivered objects, ensuring compliance with the architecture and versioning standards
• Serve as the technical interface with business teams and client leadership
• Work directly on the most technically complex initiatives, supporting the squad’s engineering capabilities
• Lead training and knowledge transfer for the client’s internal team

Data Architect

Executive

• Actively prospect for and open new accounts, identifying and developing opportunities in defined segments and territories
• Manage the full sales cycle, from prospecting and qualification through contract negotiation and closing
• Map decision-makers and stakeholders, building relationships with professionals at different levels, including C-level executives and IT leadership
• Serve as the customer’s focal point, coordinating pre-sales, business units, operations, and alliances to develop the best solutions
• Develop account plans and growth strategies, expanding portfolio penetration through cross-selling and new opportunities
• Build and develop opportunities jointly with vendors and distributors, participating in co-selling initiatives and strategic alliances
• Manage the pipeline and forecast, keeping the CRM up to date and ensuring reliable sales forecasts
• Monitor the market, competitors, and customer activity, identifying new business opportunities as well as retention and growth strategies

Senior Business Executive

• Conduct an inventory and analysis of existing objects in the environment
• Migrate views to materialized objects, defining and documenting full or incremental refresh strategies
• Implement incremental loads and optimize refresh models
• Build transformation and ingestion routines using Snowflake or Databricks capabilities
• Orchestrate load routines through DAGs, ensuring predecessor control and dependency monitoring
• Build strategic DataMarts and KPI layers, with documentation and traceable lineage back to the source
• Optimize platform performance and compute costs
• Implement solutions for unstructured data, in accordance with the defined architecture
• Build and deploy a standardized self-service reporting portal
• Perform reconciliation tests between source and target environments, ensuring data quality and consistency

Observability Analyst

Identity Management Analyst, Junior

Junior Data Engineer

Data Architect

Senior Business Executive

Senior Data Engineer