YASH Technologies

Backend Engineer

• Design, develop, and maintain scalable data pipelines using PySpark and SQL within Microsoft Fabric
• Migrate data from legacy systems, including Azure Data Lake and on-premises sources, into Fabric Lakehouse
• Build ingestion and transformation frameworks for structured and unstructured datasets
• Collaborate with data analysts and business stakeholders to define data models supporting reporting and analytics
• Ensure data quality, integrity, and consistency across datasets
• Optimize workflows for performance, scalability, and cost efficiency in Fabric and Azure environments
• Establish monitoring and alerting frameworks for production data-pipeline reliability
• Automate ETL/ELT processes, testing, and operational tasks
• Explore and integrate AI capabilities within Fabric for intelligent data processing and advanced analytics
• Monitor and troubleshoot production data issues and perform root cause analysis
• Document technical processes, system designs, and operational procedures

Senior Software Engineer, Python

Full-stack Engineer

• Monitor EDI messages and queues
• Troubleshoot failed, stuck, or delayed EDI transactions
• Perform EDI mapping and resolve mapping-related issues
• Support common EDI transactions, particularly 850 (Purchase Order), 855 (Acknowledgment), and 810 (Invoice)
• Troubleshoot the end-to-end flow between SAP, EDI, IBM Sterling, and trading partners
• Handle errors, reprocess messages, and escalate issues
• Provide EDI production support
• Work closely with SAP, business, and EDI teams across TUSA and EMEA

Senior Software Engineer

• Perform programming, development, and integration assignments independently with minimal supervision
• Provide programming, system leadership, guidance, and assistance to other team members
• Work independently on complex processes and modules used by one or more programs or systems
• Develop major system modules or programs based on requirements and user stories
• Collaborate with senior developers and architects to design and implement scalable application solutions
• Develop, test, and debug software components and applications
• Ensure code quality through unit testing and code reviews
• Design and implement PostgreSQL database schemas, queries, and transactions
• Design and contribute to high-level and low-level application designs
• Investigate and resolve defects and issues reported by QA
• Use version control systems for code management and collaborate with team members
• Follow industry coding standards and best practices

Full Stack Developer, Java, React

• Provide client support services across SAP Ariba modules
• Collaborate with users in various locations to define, deliver, and support IT-enabled business solutions for Sourcing, Supplier Management, and Procurement
• Determine business needs and design and deliver technical solutions
• Manage master data in SAP Ariba
• Create and modify templates for Sourcing, Contract Management, and SLP
• Support Sourcing projects
• Manage advanced sourcing events
• Support Contract Management projects
• Support Supplier Management projects
• Support Supplier Performance projects
• Administer SM
• Manage questionnaires
• Support SLP integration with MDG-S
• Manage Strategic Sourcing Suite libraries
• Support SAP Ariba Commerce Automation
• Integrate SAP Ariba solution modules with ERP
• Configure ERP systems related to Ariba
• Track documents and troubleshoot issues

Contractor – SAP Ariba

• Design, develop, and implement custom SAP S/4HANA solutions, including reports, interfaces, conversions, enhancements, forms, and workflows (RICEFW)
• Develop S/4HANA capabilities for integration with internal and external systems using OData services, REST APIs, IDocs, and web services
• Optimize SAP applications for performance and efficiency using SAP S/4HANA capabilities
• Create and optimize advanced data models and views using CDS views and AMDPs
• Identify and resolve issues in SAP Fiori and UI5 applications
• Enhance standard Fiori apps by optimizing OData services and improving application performance
• Perform ATC checks and ABAP code remediation for HANA compatibility
• Develop and troubleshoot applications using RAP
• Debug and troubleshoot complex technical issues, perform performance tuning, and provide ongoing support and maintenance
• Create comprehensive technical documentation and ensure development follows coding standards and best practices
• Perform peer and code review activities
• Work with business analysts, functional consultants, and cross-functional teams to gather requirements, translate them into technical specifications, and deliver assigned tasks on time

Consultant – SAP ABAP HANA

• Design, develop, and optimize SAP Fiori applications using SAPUI5
• Integrate front-end applications with backend systems using OData services
• Create and manage advanced UI components and custom Fiori elements
• Configure and optimize SAP Fiori Launchpad and SAP Build Work Zone, including tiles, roles, and groups
• Implement and customize SAP S/4HANA solutions using CDS Views, OData services, and AMDPs
• Identify and resolve issues in SAP Fiori and UI5 applications
• Enhance standard Fiori applications by optimizing OData services and application performance
• Use ABAP Development Tools for modern Fiori development, version control, and integration with SAP Fiori processes
• Perform code testing and quality assurance
• Resolve complex Fiori application development and deployment issues
• Continuously develop the UX/Fiori strategy
• Coordinate with functional, backend, IT-security, and BASIS departments
• Create technical documentation and implement process improvements
• Mentor and support knowledge sharing

Consultant – SAP Fiori

Project Manager

• Lead end-to-end project planning, execution, and delivery
• Manage Data Engineering and Data Platform projects
• Collaborate with stakeholders and technical teams to define scope, timelines, and priorities
• Coordinate with architects, SMEs, and development teams to create WBS and effort estimates
• Manage project schedules, risks, dependencies, resources, and deliverables
• Facilitate Agile ceremonies and track project progress
• Monitor project health and provide regular stakeholder updates
• Support testing, releases, and quality assurance activities
• Drive issue resolution and continuous process improvement
• Work closely with business stakeholders, architects, and engineering teams to drive project planning, estimation, execution, and delivery

• Design and implement Snowflake-based data warehouse and Lakehouse solutions
• Lead architecture and design for enterprise-wide data modernization programs and AWS cloud data platforms
• Define target-state architectures, migration strategies, and modernization roadmaps for legacy data warehouses and ETL ecosystems
• Define Snowflake data modeling, clustering, partitioning, workload optimization, and cost management strategies
• Design scalable data ingestion, transformation, and consumption patterns for structured and unstructured data
• Provide technical leadership, solution reviews, and architecture governance
• Collaborate with business stakeholders, product teams, data engineers, analysts, and enterprise architects
• Enable CI/CD, DevOps, and automation practices for data engineering and analytics workflows
• Leverage AI-assisted tools and modern automation technologies to accelerate architecture design and optimize cloud and data platform performance

Technical Architect – SnowFlake Dataware Housing

• Lead the design and implementation of scalable, secure, and high-performance Snowflake data platforms
• Architect and implement Medallion Architecture with Bronze, Silver, and Gold layers
• Design and maintain enterprise Data Vault 2.0 models, including Hubs, Links, Satellites, and Business Vault components
• Define data standards, modelling guidelines, and governance frameworks
• Design and develop Snowflake databases, schemas, tables, views, tasks, streams, and stored procedures
• Optimize Snowflake workloads for performance, scalability, and cost efficiency
• Configure role-based access control, masking policies, and data governance controls
• Build, test, and maintain database pipeline architectures
• Collaborate with architects, product owners, business stakeholders, management, and cross-functional teams
• Lead technical design sessions, solution reviews, and production support activities
• Translate business and functional requirements into technical specifications for Big Data solutions
• Lead a team or contribute individually to deliver expected business results
• Use Microsoft Copilot, GitHub Copilot, and other AI-assisted engineering platforms to improve development efficiency
• Automate repetitive tasks including code generation, documentation, testing, data quality checks, and operational support
• Deliver customer requirements and business needs while ensuring compliance with organizational data standards

Tech Lead – SnowFlake

• Design and develop Snowflake data platforms, including data pipelines
• Develop data warehouse and data mart solutions for downstream users
• Build scalable ETL pipelines and implement data quality measurement
• Deliver customer requirements and business needs
• Ensure compliance with the latest company-supported data standards
• Create, update, and enhance metadata policies, processes, and catalogs
• Interact with stakeholders

Senior Software Engineer – Snowflake, MS SQL

SDET

• Design, develop, and maintain automated test scripts for web, API, and backend applications
• Develop and enhance test automation frameworks using industry-standard tools and best practices
• Collaborate with developers, business analysts, product owners, and DevOps teams throughout the software development lifecycle
• Create and execute functional, regression, integration, and end-to-end test cases
• Perform API testing using Postman, Rest Assured, or similar frameworks
• Identify, document, track, and verify software defects
• Integrate automated test suites into CI/CD pipelines
• Analyze test results, generate reports, and provide quality metrics to stakeholders
• Participate in Agile/Scrum ceremonies, sprint planning, reviews, and retrospectives
• Ensure adherence to quality standards and continuously improve testing processes

Senior Test Engineer – Selenium

Scrum Master

• Facilitate Sprint Planning, Daily Stand-ups, Sprint Reviews, Retrospectives, and Backlog Refinement
• Coach teams on Agile principles, Scrum practices, and continuous improvement
• Serve as a servant leader by removing impediments and enabling team productivity
• Track sprint progress, velocity, burndown charts, and Agile metrics
• Collaborate with Product Owners to maintain and prioritize the product backlog
• Coordinate with cross-functional teams and stakeholders on project goals and deliverables
• Identify risks, dependencies, and blockers and drive timely resolution
• Promote transparency, accountability, and continuous improvement
• Support release planning and adherence to Agile best practices
• Facilitate communication among business stakeholders, product management, and technical teams

Module Lead – Scrum Master

• Develop and consult on SAP technical solutions
• Perform SAPUI5, SAP Fiori and S/4HANA technical development
• Integrate SAP BTP with S/4HANA Cloud and on-premise systems
• Develop and maintain OData services, SAP Gateway services and APIs
• Configure SAP Work Zone, Fiori launchpad, spaces, pages, cards and application deployment
• Configure SAP BTP security, destinations, identity providers and connectivity
• Maintain Git-based CI/CD pipelines
• Support business transformation and client operating-model improvements

Contractor – SAP ABAP

• Define current-state and target-state data architecture across cloud, warehouse, lakehouse, integration, and analytics platforms
• Lead GCP migration planning, including landing-zone alignment, data movement patterns, security controls, and cutover strategy
• Architect Snowflake sandbox migration paths, environment promotion standards, data modeling, role-based access, performance tuning, and cost governance
• Design Databricks lakehouse patterns for batch and streaming pipelines, Delta Lake, data quality, lineage, and ML/AI-ready data products
• Create conceptual, logical, and physical data models
• Define canonical data entities, standards, metadata, and stewardship rules
• Partner with engineers to review pipelines, ELT/ETL patterns, orchestration, APIs, and data contracts
• Establish migration principles for data reconciliation, testing, rollback, observability, and operational readiness
• Support solution estimates, architecture review boards, vendor evaluations, and stakeholder communications
• Define, design, and govern enterprise data architecture for scalable analytics, operational reporting, regulatory compliance, and data-driven decision-making
• Lead cloud data modernization initiatives involving GCP migrations, Snowflake sandbox-to-production enablement, and Databricks lakehouse capabilities
• Ensure data solutions are secure, cost-effective, performant, reusable, and aligned with enterprise architecture, governance, and delivery standards

Technical Architect – Dataflow, GCP

Data Scientist

• Design, develop, and maintain scalable data pipelines using AWS services
• Build and optimize ETL/ELT workflows for structured and unstructured data
• Implement data ingestion solutions using AWS Databricks
• Develop and manage data lakes and data warehouse solutions on AWS
• Create and maintain data models, transformations, and processing frameworks
• Implement data governance, data quality, security, and compliance controls
• Monitor and optimize data platform performance, scalability, and cost
• Develop reusable frameworks and automation for data orchestration and deployment
• Troubleshoot data-related issues and provide production support
• Build Bronze, Silver, and Gold data assets
• Develop reusable enterprise data products
• Create pipelines, transformations, and data integrations
• Implement CI/CD, monitoring, and operational support of use cases through MVP
• Operationalize MVP solutions into production-ready assets
• Gather and analyze requirements, assess change impacts, and identify dependencies
• Implement code or configure/customize products and provide design and architecture inputs
• Analyze frameworks and tools, review code, and provide feedback on improvement opportunities
• Provide architectural design and documentation and implement architectural patterns
• Identify causes of errors and potential solutions