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