Golden Prospects by YMP

Architect

• Evaluate and interpret existing data structures to ensure optimal performance and alignment with industry standards in the banking and financial services domain.
• Understanding of Data architecture, data lineage and mapping to identify data gaps
• Build controls based on the gaps identified
• Design and implement robust data models that support the integration and functionality of various applications and analytics platforms.
• Develop and maintain scalable and efficient data pipelines using ETL processes tailored for AWS and Databricks environments.
• Collaborate with cross-functional teams to gather requirements and deliver high-quality data architecture solutions that meet the strategic needs of the business.
• Implement and manage SQL modeling techniques to enhance data retrieval and analysis.
• Leverage knowledge of visualization tools to aid in data interpretation and decision-making processes.
• Ensure adherence to best practices in database management and data integration.

Data Modeler, Architect

Engineer

• Lead and support tool migrations, upgrades and updates, ensuring minimal or no downtime and data integrity during maintenance windows. Conduct regular health checks and maintenance tasks to keep the platform running smoothly.
• Stay current with Atlassian product updates, ecosystem changes, and industry best practices. Evaluate, install, and configure Jira plugins, Confluence macros, and integrations to extend the platform's capabilities and integrate with other tools in the technology stack. Perform Jira frond-end administrative tasks as needed.
• Implement and enforce security measures to safeguard data and ensure compliance with data protection regulations and internal policies.
• Develop and maintain backup and recovery strategies for Jira and Confluence. Document backup and recovery processes and train relevant staff members.
• Investigate, troubleshoot and fix issues related to Atlassian tools and database servers.
• Monitor system performance and usage, identify bottlenecks, and implement optimizations to ensure optimal system performance and reliability.
• Ensure all applicable security policies and processes are followed to support the organization's secure software development goals.

Senior Atlassian Engineer

QA Engineer

• Hands on experience with industry leaders in wireless gateways Netgear, Linksys and Technicolor
• Testing complex Wi-Fi connection management and/or complex telecommunication systems
• Analysing Wi-Fi data performance (802.11 n/ac) with aid of industrially recognized traffic generators (iperf, IXIA Veriwave products etc.)
• Spectrum analysis to identify and troubleshoot Wi-Fi related issues (interference, channel saturation) using WiSPY, iNSSIDER
• Wireless packet analysis and software feature verification using Wireshark
• Hands on experience with test management and issue tracking tools (Jira, HP ALM)
• Understanding and navigating complex smart gateway systems for purposes related but not limited to; gathering traces, upgrading systems, analyzing debug prints, invoking features and gathering radio value objects via dmcli
• Working knowledge of various gateway features; VLANs, speed, port forwarding/triggering, DMZ, IPv4/v6 Addressing, IP Subnetting, DHCP, Radius, remote management, SNMP
• Analyzing issues and communicating with cross-platform dev. teams to resolve the issues
• Experience on advanced networking features; port forwarding/triggering, DMZ, remote management, reserved IP allocation
• Through understanding of Wi-Fi standards (802.11 a/b/g/n/ac) and features( WPS (Push+Pin), DFS, DCS, mac-filtering, radio/ssid on/off features)
• Analyzing Rate vs Range/Orientation results and Wi-Fi stats (RSSI per radio chain, Tx/Rx PHY rates, Noise floor)
• Working with anechoic chambers and Omni-directional antennae to assess Wi-Fi performance and features

Wifi Tester, Network Administrator

Data Analyst

• Analyze large datasets to identify trends and insights
• Build scalable analytics pipelines
• Automate reporting and analytics processes
• Create clear reports for stakeholders
• Collaborate with cross-functional teams

Senior Data Analyst, Risk Adjustment

• Serve as primary contact for analytics requests and story development
• Scope and coordinate new analytics requests
• Manage JIRA tickets for data requirements
• Collaborate with teams to ensure data quality
• Support UAT for reporting tools

Data Analyst, Web Analytics

Data Scientist

• Design and develop models to extract entities, detect intents, and understand document structure
• Tackle challenges like long-context reasoning, layout-aware NLP, and ambiguous inputs
• Evaluate model performance where ground truth is partial, uncertain, or evolving
• Shape the roadmap and success metrics for replacing legacy document processing systems with smarter, scalable solutions
• Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines
• Understand product use-cases and define key performance metrics for models according to business requirements
• Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.)

Data Scientist, NLP

Designer

• Design and engineer all structural elements of single-family homes-from roof to foundation.
• Collaborate with clients, builders, designers, and architects to incorporate their vision and preferences into structural plans.
• Conduct site visits to gather field data, assess conditions or structural issues, develop solutions, and prepare engineering documentation.
• Perform other related tasks as assigned.

Structural Designer / Engineer

Recruitment

• Source and recruit talent for regional and national staffing programs.
• Conduct screenings, interviews, and assessments to evaluate candidate fit.
• Manage job postings, candidate pipelines, and onboarding readiness.
• Coordinate with Staffing Managers to understand role requirements and volume needs.
• Maintain accurate candidate tracking in systems and ensure timely follow-up.
• Support new hire batch creation, documentation completion, and onboarding status.
• Build and sustain strong relationships with candidates to ensure retention.
• Attend recruiting events, virtual interviews, and local market outreach initiatives.
• Ensure compliance with hiring standards, eligibility requirements, and regional regulations.