Qualifications: Graduate in Electronics Communication Skills: Analyze large datasets to identify trends, patterns, and actionable insights. Collaborate with engineering teams on improvements. Define end-to-end architecture for embedded systems including hardware, firmware, RTOS, middleware, and application layers. Collaborate with hardware, firmware, and software teams to ensure cohesive system design. Create and maintain system architecture documentation, interface definitions, and design standards. Develop prototypes and reference designs for new platforms. Experience with Communication / Diagnostic Protocols CAN, CANOE, CAPL Define and enforce best practices for embedded system development, including safety and security standards (e. g. , MISRA, ISO 26262, IEC 61508). Guide implementation teams through design reviews and issue resolution.
Skills: Skills: Golang and MongoDB with Angular or Node Js Key Responsibilities: 4 plus years of strong hands-on experience in backend technologies like Golang and Node. js is a must. Skilled in unit and regression testing, with a strong knowledge of integration testing to enhance the reliability and robustness of Golang applications. Lots of product love and dedication to shipping a quality/bug free product through testable and tested code. Familiarity with automating testing frameworks to improve software quality and streamline development workflows. Strong problem-solving skills and a systematic approach. Possesses a unique blend of talent and creativity, driving innovative solutions in development. Great coding standards and seamless requirement gathering & documentation skills. Good experience in NoS L Databases like MongoDB is preferred. Strong Development and Troubleshooting experience in server-side applications & APIs. A keen eye for standards compliance, testing, performance, and scalability is a must. Excellent know-how in OIDC, OAuth2, SAML2 would be an added advantage. Good Communication skills.
Skills: Key Aspects: Lead cross-functional teams in developing high-quality, scalable backend solutions Prioritize business needs, ensuring speed and quality in our product factory Drive team velocity and accountability for predictable, high-quality deliverables Balance intense work schedule with provided perks and flexibility Opportunity for significant rewards and growth based on contribution to company success The Role The Technical Lead will oversee cross-functional teams, fostering collaboration and delivering quality frameworks that solve business problems. Key responsibilities include: Creating benchmark code and reference projects to benefit other teams Providing technical guidance and mentorship to team members Managing project timelines, resources, and deliverables Translating high-level designs into low-level implementations Ensuring code quality, test coverage, and adherence to best practices Technical Requirements Expert proficiency in Core Java, Java Microservices, and Spring Boot Extensive experience with Hibernate or other ORM technologies Strong skills in designing RESTful services (both producer and consumer types) Mastery of unit testing and code quality tools Proficiency in working with AWS cloud services Hands-on experience with NoSQL databases Familiarity with Agile development processes (Scrum)
Qualifications: B. E/B. Tech/M. E/M. Tech/MCA Skills: Skills Required: Mule ESB , Cloud Hub, Anypoint Platform, Integration, Core Development A face-to-face interview is mandatory.
Qualifications: Bachelors degree in computer science or related field is preferred. Skills: Minimum of 4-9 years of experience in Odoo development, with a strong understanding of Odoo architecture and the ability to customize and develop new modules. Take Initiatives for the required changes in software development process to manage overall quality. Solve complex performance and other critical problems and architectural challenges. Develop applications/features that affect everyday life. Mentor junior team members and guide them for complex enhancements. Conduct user trainings to explain to our users how to use the existing system or any new features deployed in Odoo. Design and Develop Odoo apps (new module development and customization). Create low level requirement document in discussion with different teams. Follow best practices in Software development to ensure the readability and maintainability of the code. Re-use the features available in Odoo to accomplish the Scope objectives. Create custom module in Odoo to meet the specific domain requirement. Follow the source code checking process to maintain the code in Git Version Control.
Gipfel & Schnell Consultings Pvt Ltd is looking for Azure Data Engineering Cloud (Dataops) to join our dynamic team and embark on a rewarding career journey Design, develop, and maintain data infrastructure, databases, and data pipelinesDevelop and implement ETL processes to extract, transform, and load data from various sourcesEnsure data accuracy, quality, and accessibility, and resolve data-related issuesCollaborate with data analysts, data scientists, and other stakeholders to understand data needs and requirementsDevelop and maintain data models and data dictionariesDesign and implement data warehousing solutions to enable efficient and effective data analysis and reportingImplement and manage data security and access controls to protect data privacy and confidentialityStrong understanding of data architecture, data modeling, ETL processes, and data warehousingExcellent communication and collaboration skills
Gipfel & Schnell Consultings Pvt Ltd is looking for Sr. Azure Data Engineering Cloud to join our dynamic team and embark on a rewarding career journey Data Architecture Design:Design and implement scalable, high-performance data architectures on the Azure platform Work with stakeholders to understand data requirements and translate them into effective data solutions Data Integration:Develop and implement data integration solutions, including ETL (Extract, Transform, Load) processes Utilize Azure Data Factory, Azure Data Pipeline, or similar tools for efficient data movement Data Modeling:Design and implement data models to support analytical and reporting requirements Ensure data models align with best practices and are optimized for performance Data Warehousing:Build and maintain data warehouses on Azure, such as Azure Synapse Analytics or Azure SQL Data Warehouse Implement data partitioning, indexing, and optimization techniques Data Processing and Transformation:Implement data processing solutions using Azure technologies like Azure Databricks, HDInsight, or Spark Perform data transformations and aggregations to support business intelligence and analytics Data Security and Compliance:Implement security measures to protect sensitive data Ensure compliance with data governance and privacy regulations Monitoring and Optimization:Monitor data pipelines for performance and reliability Optimize data storage, processing, and retrieval for cost-effectiveness Collaboration:Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders Work closely with database administrators and infrastructure teams to ensure smooth data operations
Qualifications: BE/B Tech graduate/ Diploma holders in Electrical, Instrumentation, Electronics and Communication with 2 to 5 years of experience in PLC based control systems experience. Skills: Develop automation solutions for our industrial customers using standard Schneider Electric products. Provide software programming support in complex process automation setups Develop, deploy, and debug PLC and HMI programs for automated equipment Travelling to client locations, Involve in Commissioning and Start-up activities. FDS write up, various documentation preparation Remote site support
Qualifications: Bachelors degree in engineering, technology, computer science or related field. Skills: 3+ years of proven data analytics experience in fraud prevention, risk management, or a related field candidate will possess Fraud Mitigation, first party fraud, Transactional Fraud, merchant fraud, digital fraud detection. Good experience with Python and SQL. Familiarity with fraud detection software, risk assessment methodologies, and regulatory compliance. Excellent communication and presentation skills with the ability to convey complex information clearly and concisely. Detail-oriented with a proactive mindset toward problem-solving and risk mitigation. Ability to work collaboratively in a cross-functional team environment. Skills Required: Utilize data analytics tools and methodologies to conduct in-depth assessments and generate Fraud rules and reports on fraud trends (including Merchant Fraud, first-party and third-party fraud). Investigate suspicious activities and transactions, determine root causes and develop strategies and statistical models to prevent future occurrences. Develop Fraud rules on workflow systems Develop fraud reports for ongoing monitoring of fraud events. Generate reports and presentations outlining fraud risks, incidents, and mitigation strategies for management review. Collaborate with cross-functional teams, including risk management, operations, and compliance, to enhance fraud prevention measures. Monitor industry trends, regulatory changes, and best practices to continually enhance fraud prevention strategies.
Qualifications: Bachelor s or Master s degree in Finance, Economics, Statistics, Mathematics, Data Science, or a related field Skills: 3+ years of hands-on experience in credit risk management within consumer banking. Deep knowledge of credit underwriting principles, portfolio management techniques, and regulatory frameworks. Demonstrated ability to develop and execute effective credit strategies across various consumer lending products. Strong proficiency in analytical tools and languages such as SAS, SQL, R, or Python. Experience in model development and validation is an advantage. Excellent analytical, problem-solving, and decision-making skills. Strong communication and stakeholder management skills, Key Responsibilities: Credit Risk Strategy & Policy Development Design, implement, and maintain risk management strategies and credit policies across the consumer lending portfolio.