Job description : Experience in Automotive Infotainment domain. Experience in creating test scripts by using Python for Infotainment use cases. Experience in robot framework. Experience in Python and have good understanding of OOPs concepts. Strong knowledge of testing methodologies, Python, and tools like GitLab, JIRA, etc. Experience in automating scripts using appium. Must have knowledge on Agile process, preferably worked in agile development Must have good experience in JIRA and Bug management tools and integrating the same with automation. Must be aware of creation and maintenance of test data for automation testing Experience in design of test and defect reporting formats and manage the team. Experience in setting up the test benches, and associated debug systems etc. Expert programming skills in Python and Pytest. Understanding Infotainment System Architecture, Design Principles. Experience in Media player, Bluetooth, IAP, Android auto, Device manager, Remote UI. Experience with vehicle diagnostics (UDS, DoIP) and CAN Protocol. Experience in Pytest and test automation using CI/CD is a plus Primary Skills Infotainment validation & Verification Experience in robot framework Experience in Python Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. - Grade Specific Is fully competent in it's own area and has a deep understanding of related programming concepts software design and software development principles. Works autonomously with minimal supervision. Able to act as a key contributor in a complex environment, lead the activities of a team for software design and software development. Acts proactively to understand internal/external client needs and offers advice even when not asked. Able to assess and adapt to project issues, formulate innovative solutions, work under pressure and drive team to succeed against its technical and commercial goals. Aware of profitability needs and may manage costs for specific project/work area. Explains difficult concepts to a variety of audiences to ensure meaning is understood. Motivates other team members and creates informal networks with key contacts outside own area. Skills (competencies) Verbal Communication Role: Test Analyst Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Quality Assurance and Testing Education UG: B.Tech/B.E. in Any Specialization PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills pythonsoftware developmentpytestautomation testingjira continuous integrationappiumrobot frameworksoftware designci/cdtest dataagile processbugoopstesting methodologiesgitlabsoftware engineeringagileinfotainment

Job description Expertise inHP 3PARandNetApp(C-mode/7-mode) storage systems Experience withPrimerastorage solutions Installation, configuration, administration, and support of storage arrays Hands-on management ofSAN/NASstorage devices andSAN switches Experience withstorage provisioning, including LUN/volume provisioning, reclaiming, performance tuning, and monitoring Troubleshooting hardware/software issues, patching, and upgrades HP 3PAR, Primera, NetApp (C-mode/7-mode) SAN fabric switches:CiscoandBrocade Zoning, VSANs, FC-IP, ISL setup, merging, and segmentation Protocols:SAN,NAS,FC,FCoE,NFS,CIFS Storage monitoring, alert handling, and notification management Capacity planning, reporting, and forecasting CLI-based management of storage and switches Multi-pathing technology and policy management Performance analysis of storage arrays Working knowledge ofWindows,Linux,Solaris, andVMwareenvironments Experience resolving complex hardware issues and coordinating with vendors Primary Skills HP 3PAR, Primera, NetApp (C-mode/7-mode) SAN fabric switchesCisco and Brocade Zoning, VSANs, FC-IP, ISL setup, merging, and segmentation ProtocolsSAN, NAS, FC, FCoE, NFS, CIFS Role: System Administrator / Engineer Industry Type: IT Services & Consulting Department: Engineering - Hardware & Networks Employment Type: Full Time, Permanent Role Category: IT Network Education UG: B.Tech/B.E. in Any Specialization PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills brocadecifsnetappsannfs vnxemc vnxcapacity planningzoninglinuxvmaxprovisioningemc storagesolarisnaspythonperformance tuningstorage arraysipvmwarehp3partroubleshootingpolicy managementfcoefcperformance analysis

Job description Management Level: - Ind & Func AI Decision Science Consultant Level 9 Location: Gurgaon / Bangalore / Mumbai / Hyderabad Must-have skills: Marketing Analytics, Data Driven Merchandizing (Pricing/Promotions/Assortment Optimization), Statistical Timeseries Models, Store Clustering Algorithms, Descriptive Analytics, State Space Modeling, Mixed Effect Regression, NLP Techniques, Large Language Models, Azure ML Tech Stack, SQL, R, Python, AI/ML Model Development, Cloud Platform Experience (Azure/AWS/GCP), Data Pipelines, Client Management, Insights Communication Good to have skills:Non-linear Optimization, Resource Optimization, Cloud Capability Migration, Scalable Machine Learning Architecture Design Patterns, Econometric Modeling, AI Capability Building, Industry Knowledge:CPG, Retail Job Summary As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Roles & Responsibilities: Working through the phases of project Define data requirements for Data Driven Growth Analytics capability. Clean, aggregate, analyze, interpret data, and carry out data quality analysis. Knowledge of market sizing, lift ratios estimation. Experience in working with non-linear optimization techniques. Proficiency in Statistical Timeseries models, store clustering algorithms, descriptive analytics to support merch AI capability. Hands on experience in state space modeling and mixed effect regression. Development of AI/ML models in Azure ML tech stack. Develop and Manage data pipelines. Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling elasticity models. Working knowledge of resource optimization Working knowledge of NLP techniques, Large language models. Manage client relationships and expectations and communicate insights and recommendations effectively. Capability building and thought leadership. Logical Thinking Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials. Task Management Advanced level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress. Client Relationship Development Manage client expectations and develop trusted relationships Maintain strong communication with key stakeholders Act as a strategic advisor to clients on their data-driven marketing decisions Professional & Technical Skills: Must have at least 4+ years of work experience in Marketing analytics with a reputed organization.3+ years of experience in Data Driven Merchandizing which involves work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clients.Strong understanding of econometric/statistical modeling:regression analysis, hypothesis testing, multivariate analysis, time series, optimization Expertise in Azure ML, SQL, R, Python, PySpark Proficiency in non-linear optimization and resource optimization Familiarity with design patterns for deploying and maintaining ML models in production Strong command over marketing data and business processes in Retail and CPG Hands-on with tools like Excel, Word, PowerPoint for communication and documentation Additional Information: Bachelor/Masters degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record Knowledge of CPG, Retail industry. Proficient in Excel, MS word, PowerPoint, etc. Strong client communication. Qualification Experience:Must have at least 4+ years of work experience in Marketing an

Job description For Visa to deliver on the vision of the best way to pay and be paid for everyone, everywhere, the Operations & Infrastructure (O&I) group must provide best-in-class infrastructure services that are secure, scalable, continuously available, and run on software-defined infrastructures. The O&I group offers an exciting opportunity to work on latest technologies where the industry is going through major innovations such as cloud computing. The Middleware Engineering provides end-to-end design, build and support services for the Web and Middle-tier platforms, which comes under PaaS (Platform as a Service). Selected candidate would work alongside other Middleware Systems engineers and technical team members, to design, build, support, and enhance internal and external facing platform built on top of various Middleware and Integration platforms. We are looking for an innovative, capable Staff Systems Engineer / DevOps / Cloud Engineer working with the Middleware Engineering team is part of the Operations & Infrastructure and is responsible for common middleware and integration infrastructure that supports communication between multiple enterprise applications and multiple business lines. This role will be responsible for development, configuration, problem analysis, deployment, and continuous operational improvement of middleware technologies used at Visa. Applicant should also have an excellent foundational knowledge of web/App tier (Tomcat/JAVA/Httpd, etc.) and be comfortable implementing Security (SSL/PKI), compliance industry standards, Understanding of Micro Container technology and best practices. Responsibilities: Review various middleware technologies in a cloud environment, manage seamless deployment, and integrate with other internal middleware technologies and applications. Lead the design, implementation, and management of highly available and scalable infrastructure for all cloud initiatives (Ex: GCP, Azure, AWS). Collaborate with internal stakeholders to understand business requirements and translate them into effective cloud-based operational architectures. Design, implement, and optimize Middleware components & services on GCP/Azure/AWS. Develop and implement best practices and standards for deploying and managing applications on Middleware components. Perform system and application performance tuning and optimization to maximize efficiency and scalability. Develop and manage automation plan for deploying, managing, and monitoring middleware technologies. Ensure the middleware technology stacks security, scalability, and performance. Provide technical guidance and support to more prominent team members. Keep abreast of the latest industry trends and technologies. Open to experimenting with Open Source technology, performing POC, providing recommendations, and driving to standardization. This role will complement Middleware Engineering team with Cloud. Currently, multiple projects are considering using public cloud providers such as AWS, GCP and Azure. This role will help build the cloud foundation for the group. Basic Qualification -5 or more years of work experience with a Bachelor s Degree or 4 or more years of relevant experience with an Advanced Degree. -5 or more years of work experience with a Bachelor s Degree or 4 or more years o Role: DevOps Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: DevOps Education UG: Any Graduate PG: Any Postgraduate Key Skills Performance tuningCloud computingAutomationTomcatEnterprise applicationsConfiguration managementOpen sourceMiddlewareSSLPython

Job description Join us for an exciting opportunity to advance your career as a Quant Analyst Associate, driving impactful business insights. As a Quant Analytics Associate within the Data and Analytics team, you will collaborate with cross-functional teams to deliver timely insights that enhance customer engagement and business performance. You will nurture a culture of continuous experimentation and innovation. Job Responsibilities Synthesize large data from various sources to derive actionable insights for business functions. Solve business problems through fact-based and scientific analytics. Define metrics, evaluate results, and draw business insights. Evaluate and implement new tools for data collection, analysis, and reporting. Present key findings and recommendations to senior stakeholders to enable decision-making. Required Qualifications, Capabilities, and Skills Bachelor's degree in statistics, business analytics, finance, economics, mathematics, or engineering. 4+ years of analytics experience in a financial services firm or consulting firm supporting financial firms. Proficiency in data querying (Snowflake SQL/Python), Alteryx, and Tableau. Ability to navigate loosely defined business problems independently. Deliver persuasive presentations using data-driven storytelling techniques. Preferred Qualifications, Capabilities, and Skills Strong grasp of big data disciplines, AWS, Agile (scrum) methodologies, and new technologies. Effective communication with senior leaders to enable collaboration and decision-making. Flexibility, adaptability, and ability to manage and deliver in a fast-paced environment. Role: Data Science & Analytics - Other Industry Type: Financial Services Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Analytics - Other Education UG: Any Graduate PG: Any Postgraduate Key Skills Agile scrumBusiness analyticsConsultingData collectionCustomer engagementbig dataAnalyticsFinancial servicesSQLPython

Job description Job Summary: We are looking for a skilled and experienced Automic (UC4) Consultant to join our team. The ideal candidate will possess in-depth knowledge and hands-on experience with the Automic (UC4) automation tool, including expertise in configuring, managing, and troubleshooting Automic environments. The role requires significant experience in designing and scheduling UC4 jobs, including SAP, file transfers, and OS jobs, as well as strong scripting skills in Automic scripting language. In addition to Automic expertise, the candidate should be proficient in other scripting languages such as Shell, batch, SQL, and Python. A solid background in system administration for Linux and/or Windows environments is essential, along with an understanding of cloud platforms. The role also demands excellent troubleshooting abilities, including log analysis within the Automic environment, and the ability to perform Root Cause Analysis (RCA) to identify and implement effective solutions. Implementing best practices for job design and scheduling is crucial to ensure optimal system performance. Strong communication skills, both verbal and written, are required to collaborate effectively with internal teams, stakeholders, and external customers. A good understanding of ITIL processes and the flexibility to work in shifts as required by the project or operational needs is also necessary. Certifications: Broadcom Automic Workload Automation Certifications. Key Responsibilities: Configure, manage, and troubleshoot Automic (UC4) environments. Design and schedule UC4 jobs (SAP, file transfers, OS, etc. ). Develop and maintain scripts in Automic scripting language and other languages like Shell, batch, SQL, and Python. Perform system administration tasks in Linux and/or Windows environments. Install, upgrade, and apply patches to the Automic components and agents. Troubleshoot issues, perform log analysis, and resolve problems within the Automic environment. Conduct Root Cause Analysis (RCA) and implement solutions to improve reliability. Implement best practices for job design and scheduling to optimize workflows. Communicate effectively with internal teams, stakeholders, and external customers. Apply ITIL processes in service management. Maintain comprehensive documentation for Automic configurations, processes, and procedures. Plan and oversee maintenance activities during system downtime and environment upgrades. Be flexible and ready to work in shifts, providing 24/7 on-call support as needed for project or operational requirements. Role: Technical Consultant Industry Type: Automobile Department: Consulting Employment Type: Full Time, Permanent Role Category: IT Consulting Education UG: Any Graduate PG: Any Postgraduate Key Skills Service managementAutomationSAPLinuxSchedulingWindowsTroubleshootingSQLPythonSystem administration

Job description Role & responsibilities Physical Design Engineer (PD/STA/Synthesis) Must-Haves: •Tools: Cadence Innovus, Synopsys ICC2/Fusion Compiler, PrimeTime for STA •Flow Experience: •Floorplanning •Power planning •Placement •Clock Tree Synthesis (CTS) •Routing •Physical Verification (DRC/LVS) •Timing Closure •Knowledge of: •Low-power design (UPF/CPF) •ECOs •IR Drop, EM Analysis •STA constraints and timing analysis Nice-to-Haves: •Experience with block-level and/or full-chip PD •Familiarity with scripting (Tcl, Perl, Python) Role: Design Engineer Industry Type: Electronic Components / Semiconductors Department: Research & Development Employment Type: Full Time, Permanent Role Category: Engineering & Manufacturing Education UG: B.Tech/B.E. in Any Specialization Key Skills Skills highlighted with ‘‘ are preferred keyskills STACadencePhysical VerificationFloor PlanningSynopsys CtsLVSRoutingUpfInnovusSynthesisDRCTiming ClosurePlacementCpfStatic Timing AnalysisPhysical DesignClock Tree Synthesis

Job description We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 38 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! REQUIREMENTS: Total experience 5+ years. Hands-on working experience as a DBA managing large, mission-critical MySQL databases. Strong expertise in SQL (ANSI SQL, TSQL, PL/pgSQL, PLSQL) and database design principles. Proficiency in HA/DR planning, performance tuning, normalization, and query optimization. Strong programming knowledge in Java, Scala, or Python. Experience with big data tools like Kafka, Apache Spark, Trino/Presto. Experience with workflow orchestration tools (e.g., Apache Airflow). Working knowledge of Docker, Kubernetes, and container management. Exposure to DevOps processes for database and application deployment. Familiarity with monitoring tools such as Datadog, Prometheus, Grafana, CloudWatch. Problem-solving mindset with the ability to tackle complex data engineering challenges. Strong communication and teamwork skills, with the ability to mentor and collaborate effectively. RESPONSIBILITIES: Writing and reviewing great quality code Understanding the clients business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements Mapping decisions with requirements and be able to translate the same to developers Identifying different solutions and being able to narrow down the best option that meets the clients requirements Defining guidelines and benchmarks for NFR considerations during project implementation Writing and reviewing design documents explaining overall architecture, framework, and high-level design of the application for the developers Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it Understanding and relating technology integration scenarios and applying these learnings in projects Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken Carrying out POCs to make sure that suggested design/technologies meet the requirements. Role: Technical Lead Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: B.Tech/B.E. in Any Specialization Key Skills Skills highlighted with ‘‘ are preferred keyskills JavaDBAPython MsqlDatabaseSQL

Job description We enable #HumanFirstDigital Mandatory to have: Around 5 years experience as Snowflake Developer on design and development of data solutions within the Snowflake Data Cloud, leveraging its cloud-based data warehousing capabilities. Responsible for designing and implementing data pipelines, data models, and ETL processes, ensuring efficient and effective data storage, processing, and analysis Able to write Complex SQL Queries, Write JavaScript and Python Stored Procedure code in Snowflake 1 to 3 days per week - work from Bengaluru office Job Description Summary: Data Modeling and Schema Design: Create and maintain well-structured data models and schemas within Snowflake, ensuring data integrity and efficient query performance. ETL/ELT Development: Design and implement ETL (Extract, Transform, Load) or ELT (Extract, Load, Transform) processes to load data into Snowflake from various sources. Data Pipeline Management: Build and optimize data pipelines to ingest data into Snowflake, ensuring accurate and timely data flow. SQL Optimization: Write and optimize SQL queries to enhance performance and efficiency within Snowflake. Performance Tuning: Identify and address performance bottlenecks within Snowflake, optimizing query execution and resource allocation. Security and Governance: Implement data security and governance best practices within Snowflake environments, including access control and encryption. Documentation and Maintenance: Maintain documentation for data models, data pipelines, and other Snowflake solutions. Troubleshooting and Support: Troubleshoot and resolve issues within Snowflake, providing technical support to users. Collaboration: Collaborate with data architects, data engineers, and business users to understand requirements and deliver solutions Other Skills: Experience with data warehousing concepts and data modeling. Hands-on experience in creating stored procedures, functions, tables, cursors. Experience in database testing, data comparison, and data transformation scripting. Capable of troubleshooting common database issues Hands on experience in Gitlab with understanding of CI/CD Pipeline, DevOps tools Knowledge on AWS Lambda and Azure Functions Our Commitment to Diversity & Inclusion: Our Perks and Benefits: Our benefits and rewards program has been thoughtfully designed to recognize your skills and contributions, elevate your learning/upskilling experience and provide care and support for you and your loved ones. As an Apexon Associate, you get continuous skill-based development, opportunities for career advancement, and access to comprehensive health and well-being benefits and assistance. We also offer: o Group Health Insurance covering family of 4 o Term Insurance and Accident Insurance o Paid Holidays & Earned Leaves o Paid Parental LeaveoLearning & Career Development o Employee Wellness Job Location : Bengaluru, India Role: Data Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills Performance tuningData modelingBfsiJavascriptHealthcareStored proceduresAsset managementTechnical supportAnalyticsPython

Job description Skill required: Sales Insights & Intelligence - Sales Enablement Designation: Analytics and Modeling Senior Manager Qualifications:Any Graduation Years of Experience:16 to 25 years About Accenture What would you do As the Team Lead, and a key member of the Sales Operations Transformation - Data Analytics, Reporting & Visualization team, you will head a cross-functional team of Data Scientists and Visualization experts working within the Sales Operations transformation space. The ideal candidate brings a strong background in advanced analytics, business intelligence, and sales domain knowledge, along with a proven track record in project delivery, stakeholder management, and team leadership.Key responsibilities include:Drive and oversee the design, development, and deployment of data science models and visualization solutions that support sales strategy, performance tracking, and revenue optimization.Drive collaboration across functional, technical, and global teams to ensure solutions are aligned with business needs and deliver measurable outcomes.Manage project timelines, resource planning, and risk mitigation across multiple workstreams while maintaining high standards of quality and delivery.Serve as a subject matter expert in Sales Operations analytics, providing thought leadership, mentorship, and guidance to both technical and non-technical stakeholders..This is a high-impact role where technical acumen meets business strategy, and your work will directly influence sales operations transformation through AI-powered innovation. What are we looking for We are looking for individuals who bring a blend of strategic thinking, operational expertise, and a passion for transformation. The ideal candidate will have the following skillset:Strong background in Sales Operations, CRM data, and sales process optimization.Proven experience in data analytics, data science, and business intelligence.Proven experience in leading teams that deliver both advanced statistical models and interactive dashboards.Deep understanding of Python (Pandas, NumPy, Scikit-learn) for data modeling and analytics.Strong command over Power Query, Power Pivot, Power BI and BI architecture for visual storytelling and dashboarding.Hands-on experience with SQL, data management, and data modeling practices.Excellent stakeholder management and communication skills.Experience working with global, cross-functional teams.Proficiency in Microsoft Excel for data analysis and reporting.Experience in driving transformation initiatives through automation and advanced technologies such as Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), and systems integration Roles and Responsibilities: Strategic Leadership & DeliveryoLead the end-to-end delivery of AI, analytics, and visualization solutions across sales operations workstreams.oAlign team objectives with Sales Excellence and Sales Transformation strategyoDrive solution design, data strategy, and execution across data science and BI tracks.oOversee solution scalability, reusability, and integration into business processes.Team ManagementoManage, mentor, and grow a high-performing team including L8/L9 Data Scientists and Power BI developers.oProvide technical and functional guidance to team members.oConduct regular performance reviews, skill development sessions, and team health checks.oOversee capacity planning and work allocation.Stakeholder EngagementoCollaborate with senior business leaders, sales stakeholders, and global teams to define problem statements, KPIs, and success metrics.oServe as the client-facing SME for all analytics and visualization needs in the sales domain.oEnsure strong communication of findings, models, and visualizations through effective storytelling.Technical OversightoEnsure high-quality delivery of data science models (predictive, diagnostic, prescriptive) and dashboards.oReview and validate model outcomes, dashboards, and visual designs.oEncourage adoption of best practices in code management, versioning, and model docum