Role & responsibilities Job Summary: We are seeking a skilled Full Stack Developer with expertise in Azure Data Factory (ADF) and Power BI to join our data engineering and business intelligence team. The ideal candidate will play a key role in designing scalable data pipelines, implementing robust ETL processes, and delivering insightful dashboards. This position demands a solid foundation in cloud data architecture, data modeling, and end-to-end BI development using Microsoft Azure tools. Key Responsibilities: Azure Data Factory (ADF) & Data Engineering: Design and develop scalable data pipelines using Azure Data Factory , following Medallion Architecture (Bronze/Silver/Gold layers) . Perform complex data transformations, cleansing, and enrichment using ADF and SQL. Ingest data from various sources including SharePoint Excel, Azure Blob, and Azure Synapse . Create and optimize SQL views, stored procedures, and functions to support reporting needs. Integrate with Azure Synapse Notebooks and manage pipeline performance and error handling. Ensure data validation, integrity checks, and efficient orchestration across pipeline processes. Power BI Development: Design, build, and publish interactive Power BI dashboards and reports using data from ADF pipelines and other sources. Implement data connectivity using Import, DirectQuery, or Hybrid modes . Develop secure reports with Row-Level Security (RLS) both static and dynamic using DAX . Manage Power BI deployment pipelines across environments (Dev, Test, Prod). Create workspace audiences for tailored access (e.g., HR, Finance teams). Utilize bookmarks, drill-throughs, slicers , and custom visuals to enhance user experience. Integrate Power Apps with Power BI for workflow triggers and interactive reporting solutions. Required Skills & Experience: Power BI: Strong knowledge of Power BI Desktop, Power BI Service, Power Query (M language) . Proficient in data modeling, DAX calculations , and handling active/inactive relationships . Experience with drill-through filters, synchronized slicers, bookmarks, dynamic chart axes , etc. Familiar with Power Apps integration and report-level actions or workflow triggers. ADF & Data Engineering: Hands-on experience in developing data pipelines using Azure Data Factory . Proficient in SQL scripting, tuning, and debugging . Familiarity with Azure Data Lake, Blob Storage , and ingesting both structured and unstructured data. Experience working with large datasets and cloud-native transformation too Preferred candidate profile we are hiring Fullstack +ADF+POWER BI+SQL Combination developer experience: 5+years Np: Immediate to 30 days Loc: HYDERABAD Client:MNC If Interested candidates please share the updated details to HR@TECHXLNC.AI
Role & responsibilities S4HANA Embedded Analytics :: I&D Technology Experience 5+ Years of IS/IT, reporting and related processes background. General knowledge of SAP ERP Platforms. Knowledge in SAP Business Warehouse running on HANA and S4HANA Embedded Analytics (CDS Views) is a must. Experience with SQL, AMDP, Native HANA modeling is a must Experience with PowerBI and other reporting solutions are a plus Experience with BW/4HANA is a plus Ability to work in a structured way and effectively communicate with employees at all levels. Project Management experience is a plus, specifically the Agile methodology. 0 The ability to motivate people. Good spoken and written communication skills with colleagues at all levels. Showing a responsible attitude. The ability to plan and prioritize your own work and having good coordination with the rest of the team, including close cooperation with offshore resources and the support team. Comfortable working under pressure to tight deadlines. 2. Primary Skills in 5 liners that manager cannot negotiate on: 5+ Years of IS/IT, reporting and related processes background, Knowledge in SAP Business Warehouse running on HANA and S4HANA Embedded Analytics (CDS Views) is a must. Experience with SQL, AMDP, Native HANA modelling is a must 3. Location and Flexible locations: PAN India 4. Grade: C2 5. Level of experience: 5+ Preferred candidate profile EXP:5+ YEARS NP: Immediate to 30 days client: MNC If Interested candidates please drop your profiles at HR@TECHXLNC.AI
we have open requirement for "SRE LEAD Engineer" client: MNC. PRODUSCT BASE US COMPANY Role & responsibilities Responsibilities: Architect, design, and deploy end-to-end infrastructure solutions for a multi-tenant microservices-based SaaS application with a focus on AI/ML model integration. Ensure system reliability, scalability, performance, and security, specifically enhancing AI/ML processing pipelines and workflows. Utilize Terraform scripting for on-demand environment provisioning within the AWS cloud, optimized for AI/ML workloads. Implement and refine monitoring and alerting systems across application, network, and OS layers to support AI model operations and data processing. Diagnose, support, and resolve production issues and alerts, participating in a 24/7 on-call rotation to maintain seamless AI/ML service operations. Qualifications : 8+ years of experience in Site Reliability Engineering (SRE) and DevOps roles with a track record of managing large-scale enterprise SaaS services in production, including 1+ year in AI/ML infrastructure. Demonstrated expertise with AWS public cloud technologies, including extensive experience in deploying and managing large-scale container clusters using AWS, EKS. Skilled in Infrastructure as Code (IaC) using Terraform, and container technologies such as Docker and Kubernetes. Proficient in scripting and programming for automation (Python, Bash, etc.), with strong Linux OS and networking fundamentals relevant to AI/ML workloads. Job Description: Experience in establishing monitoring systems to ensure high availability, performance, and security integrity, using tools like ELK Stack, CloudWatch, and others tailored for AI/ML monitoring. Hands-on experience managing microservices architecture SaaS products, enabling RESTful web services, SSO integration (Okta, Auth0), and utilizing cloud databases like EC2-RDS, MySQL, and Elasticsearch, especially in AI/ML deployments. Proficient in backup and disaster recovery strategies specific to AI/ML data resources like RDS and Elasticsearch. AWS Certified Solutions Architect is strongly preferred. Self-driven, proactive, and adaptable to thrive in an early-stage startup environment, with a keen interest in integrating AI/ML technologies into modern SaaS solutions. Preferred candidate profile If interested candidates please share the your profiles to HR@TECHXLNC.AI NP: Immediate to 30 days loc:HYD
Role & responsibilities Required Skills Core Expertise: SAP Analytics Cloud (SAC) Additional Skills (any of the following): SAP Universe Lumira Designer SAP BusinessObjects (BO) / Web Intelligence (Webi) Analysis for Office Data Skills: SAP Datasphere or strong SQL knowledge Preferred Skills (Good to Have any one of the following) Hybrid Planning (SAP BPC) BW on HANA and/or BW/4HANA Native HANA Job Responsibilities Data Analysis & Visualization Design intuitive dashboards and reports using enterprise templates Strong understanding of SAC, SAP BO, BW, BW-IP architecture and reporting strategies Connect to various data sources (Live/Import): SAP Universe, BW, Native HANA, S/4HANA, HANA Cloud, Concur, SuccessFactors, ARIBA, IBP, and other SAP/non-SAP systems Perform data modeling, wrangling, merging, custom calculations, and formatting of dimensions/measures Develop analytic, planning, and predictive models with interactive visuals (charts, tables, maps, filters, dropdowns, etc.) Utilize SAC Augmented Analytics: Smart Insights, Search to Insight, Smart Discovery, Smart Predict Implement security models (e.g., rebuild from BW) Enable data export/write-back to SAP systems via standard methods, OData, and APIs Build SAC stories using canvas, responsive, and grid layouts with advanced features like data blending, cross calculations, input controls, linked analysis Develop Digital Boardroom and Analytics Designer applications Analytics Designer Build complex analytic and planning applications Proficient in HTML, CSS, JavaScript Bonus: Python or R knowledge Planning Design and implement SAC planning, forecasting, and budgeting models Experience with EPM tools like SAP BPC, IP Configure planning dimensions and models (standard/new), and map security to BW setups Support collaborative planning scenarios (top-down/bottom-up), versioning, currency conversions Implement allocations, value driver trees, what-if simulations, and Smart Predict Familiarity with SAC/BW/BW-IP functions: Data Actions, Multi Actions, Planning Data Connections SAP Datasphere Data Integration: Connect and ingest data from SAP/non-SAP systems and flat files Support batch and real-time integrations Data Modeling: Create schemas using star/snowflake models Build complex structures, relationships, and hierarchies using graphical and SQL modeling Data Quality & Governance: Apply data profiling, cleansing, validation Analyze governance and compliance via lineage and impact tools Integrations: Implement integrated scenarios with SAC and other SAP/non-SAP applications General Requirements 3-4 years of experience in SAP Analytics Cloud, including SAC Planning 7-8 years of experience in SAP BO/BI/BW/HANA Strong stakeholder management and presentation skills Ability to lead workshops, support UAT, and adhere to regulated environments and processes Familiarity with ALM test cases and transition to support teams Collaborative and professional team engagement Capable of working independently and within teams Skilled in wireframing/prototyping SAC solutions to demonstrate possibilities Translate business requirements into functional and technical dashboard specifications Deliver configurations per wireframes and approved requirements Build and execute unit test plans; support product integration testing and issue resolution Lead blueprinting sessions and act as a techno-functional developer for SAC implementations including Enterprise HANA Preferred candidate profile EXP:7-8 YEARS NP IMMEDIATE TO SERVING NP LOC:BANGALORE CLIENTCAPGEMINI PAYROLL ESOFT LABS If interested candidates please share the profiles at HR@TECHXLNC.AI
Role & responsibilities Techno-Functional Consultant (Agile PLM) Responsible for designing, developing, and implementing technical solutions that support business processes 1. Develop and deploy Process Extensions (PXs) using Java for Agile PLM 9.3.6 2. Customize workflows, events, and triggers using the Agile SDK 3. Perform unit testing and support functional testing. 4. Support data exchange and synchronization across enterprise systems (SAP, Visual, Enovia). 5. Write technical specifications for customizations and integrations. 6. Provide ongoing support for Agile PLM applications and troubleshoot issues. 7. Review and maintain Agile ACS code and SDK-based customizations. 8. Create event scripts and Groovy scripts for workflow automation. 9. Customize Agile Web Client UI (where supported) to improve usability. 10. Work with functional consultants and business stakeholders to gather requirements. 11. Recompile and redeploy existing PXs during version upgrades. 12. Ensure smooth deployment across development, staging, and production environments. 13. Use Agile Import/Export tools, SDK, or direct database staging for bulk data loads or data updates. 14. Validate migrated data for completeness and integrity. 15. Analyze and resolve application errors related to custom PXs, integrations, or performance issues. 16. Perform log analysis (WebLogic logs, Agile PLM logs) for root cause investigation. 17. Optimize PXs, queries, and scripts to minimize execution time to impact performance. 18. Assist in load testing for large-scale Agile PLM deployments. 19. Maintain documentation for all custom developments, integrations, and scripts. 20. Create deployment guides for moving code from Dev QA Production. 21. Keep version control of all custom artifacts. 22. Refactor or rebuild incompatible PXs and web services. 23. Support regression testing for technical components. 24. Tomcat server application development Preferred candidate profile Interested candidates please drop the profiles at HR@TECHXLNC.AI loc:Hyderabad Client HCL Np:Immediate