Azure Expertise: The architect should have experience in architecting large scale analytics solutions using native services such as Azure Synapse, Data Lake, Data Factory, HDInsight, Databricks, Azure Cognitive Services, Azure ML, Azure Event Hub. Work with customers, end users, technical architects, and application designers to define the data requirements and data structure for BI/Analytic/ solutionsDesigns conceptual and logical models for the data lake, data warehouse, data mart, and semantic layer (data structure, storage, and integration). Lead the database analysis, design, and build effortExpert in big data technologies on Azure/GCPExperience with ETL platform like ADF / Glue / Ab Initio/ Informatica / Talend / AirflowExperience in data visualization tools like Tableau, Power BI etc.3+ years of experience in a data engineering, metadata management, database modelling and development roleStrong experience in handling streaming data with kafkaUnderstanding of Data APIs, Web servicesExperience in Data security and Data Archiving/Backup, Encryption and define the standard processes for same.Experience in setting up DataOps and MLOps Communicates physical database designs to lead data architect / database administrator

6 + years of experience of working in the Automobile Industries.Understanding & interpretation of engineering drawings is a must.Expertise in GD&T, FMEA, APQP-PPAP, FAI, ISO / TS16949 Quality system and Negotiation skills.Hands on experience of managing suppliers of varied commodities.Excellent communication & interpersonal skills. An experience of working with global suppliers/ customers.Thorough understanding of supplier assessment, process audits, knowledge of measuring techniques, use of Inspection tools, a fair understanding of casting, machining & fabrication processes, related materials, testing methods and standards.Ability to verify supplier corrective action, control plans, PPAP's, FMEA & other quality related documents. Excellent interpersonal, Analytical skills & presentation skills.Positive attitude & proactive approachAuditor certification in IATF 16949 is an advantage.

Able to independently develop validation strategy for Grey Box testing/End-to-End testing, design test cases based on requirements in Embedded environment & Experience in Embedded controller validation, black box testingExperience in Python programming / Object Oriented design conceptsExperienced in the design and development of embedded controls software. Excellent working knowledge in developing microcontroller-based systems and debugging techniques.Good knowledge of testing, test design, test development processes, and related tools. Ability to develop black box tests. Working knowledge with test tools and Automated test Equipment is a big advantage.Working knowledge of SDLC. Should have worked at least in parts of SDLC. Having worked on projects through a full SDLC and having knowledge of the various development and test phases of the SDLC is a big advantage.Experienced with embedded and serial communication protocols (RS-485, RS-232, CAN) and networking protocols (TCP, UDP)Usage of in-circuit emulators (ICE) with debuggersGood exposure to real-time systems and RTOSShould have executed projects and worked in the different phases of a complete life-cycle process.Strong knowledge of Software Engineering concepts, Quality processes, and tools. Familiar with Configuration Management, defect tracking, Requirements management concepts, and tools.Analyze the requirements using the requirement tool and provide traceability. ISTQB certification preferred.Experience with scripting languages like Python.Familiar with Requirements Management, Configuration Management concepts, source code version control, bug tracking, and traceability. Having worked with tools for these activities is an advantage.Familiar with basic concepts of Software Quality and Process.Familiarity with the HVAC industry is a plus.

Able to independently design ,develop test cases based on requirements in Embedded environment Should have 7-11 years of experience in System Testing / Embedded Verification & Validation / Automation TestingShould have 2-3 years of experience in Python/Java scripting, Object Oriented programming Good demonstrable proficiency in Test Strategy and Test planning is preferred. Experience in test automation tools and should have done test automation with scripting Experienced in the design and development of embedded controls software. Excellent working knowledge in developing microcontroller-based systems and debugging techniques.Good knowledge of testing, test design, development processes, and related tools. Ability to develop black box tests. Working knowledge with test tools, namely Labview, is a big advantage.Working knowledge of SDLC. Having worked on projects through a full SDLC and having knowledge of the various development and test phases of the SDLC is a big advantage.Experience with serial communication protocols (RS-485, RS-232, CAN, MODBUS) and networking protocols (TCP, UDP) & WifiExperience with Automated Test Equipment for Testing using LabView, LabView Real-time, and PXI/PXIe systemsExperience with scripting languages like Perl, Python.Familiar with Requirements Management, Configuration Management concepts, source code version control, bug tracking, and traceability. Having worked with tools for these activities is an advantage.Familiar with basic concepts of Software Quality and Process.Familiarity with the HVAC industry is a plus.

Experience - 3to 5 Years3-5 years of experience in customer support or a related field, ideally in a tech or SaaS environment. Experience using Freshdesk, Zoho Desk, or similar customer support platforms. Strong problem-solving skills and the ability to troubleshoot complex technical issues. Ability to communicate technical information clearly to non-technical customers. Familiarity with APIs, cloud technologies and technical systems, with a focus on technical customer support. Strong attention to detail and the ability to manage multiple tasks in a fast-paced environment. Excellent written and verbal communication skills. Ability to work collaboratively with cross-functional teams, including product and engineering teams.