Front-End Development: Build responsive, interactive user interfaces using React JS, HTML5, and CSS3. Use state management tools like Redux or Context API to handle complex data flows.
Back-End Development: Design and implement high-performance RESTful APIs and microservices using Java (Spring Boot).Develop scalable server-side logic and data processing scripts using Python and FAST/REST API.
Database Management: Design and maintain both relational (e.g., PostgreSQL) and NoSQL (e.g., MongoDB) database schemas to ensure data integrity and performance.
Full SDLC Management: Oversee the entire software development lifecycle, including analysis, coding, automated testing (unit and integration), and troubleshooting.
DevOps & Deployment: Utilize CI/CD pipelines (,and containerization tools like Docker and Kubernetes to deploy applications to AWS
Responsibilities
Front-End Development: Build responsive, interactive user interfaces using React JS, HTML5, and CSS3. Use state management tools like Redux or Context API to handle complex data flows.
Back-End Development: Design and implement high-performance RESTful APIs and microservices using Java (Spring Boot).Develop scalable server-side logic and data processing scripts using Python and FAST/REST API.
Database Management: Design and maintain both relational (e.g., PostgreSQL) and NoSQL (e.g., MongoDB) database schemas to ensure data integrity and performance.
Full SDLC Management: Oversee the entire software development lifecycle, including analysis, coding, automated testing (unit and integration), and troubleshooting.
DevOps & Deployment: Utilize CI/CD pipelines (,and containerization tools like Docker and Kubernetes to deploy applications to AWS
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Overview: We are seeking a highly experienced and visionary Azure Solution Architect to design and implement our next-generation data platform. This role will be instrumental in architecting end-to-end data solutions, integrating advanced AI features, and ensuring the highest standards of data quality, management, and security. You will work closely with our Data Engineering team, providing technical mentorship and strategic guidance to deliver high-impact data products, including interactive AI-driven applications and dashboards. While primarily an architectural role, the candidate must also be willing and able to actively contribute to data engineering development activities when required, ensuring practical implementation aligns with strategic design.
Key Responsibilities:
Solution Architecture & Design: Design and architect scalable, reliable, and secure end-to-end data solutions on Azure, primarily leveraging Databricks Lakehouse Platform. This includes defining data models, storage strategies, and integration patterns aligned with business and enterprise architecture standards.
Technical Mentorship: Provide technical mentorship to a team of Data Engineers, fostering a culture of innovation, best practices, and continuous improvement.
Data Platform Development: Oversee the development and optimization of data pipelines (ETL/ELT) using PySpark and Spark SQL within the Databricks environment, ensuring efficiency and scalability for large-scale data processing.
AI Feature Integration & Application Development: Architect and integrate advanced AI/ML capabilities into the data platform. This includes leveraging Databricks features for developing AI chatbots, data manipulation agents and designing Databricks Webapps for interactive data experiences.
AI/BI Dashboard Development: Lead the design and development of sophisticated AI/BI dashboards within the Databricks ecosystem, enabling insightful data visualization and advanced analytical reporting for business users.
Data Governance, Quality & Security: Define and implement robust data quality frameworks, data management strategies and security protocols across Databricks workspaces, including access control, data lineage, and compliance with regulatory and organizational standards. Expertise in Unity Catalog is a must-have for centralized data governance.
Performance Optimization: Drive performance optimization initiatives for Databricks Spark clusters, including configuration, tuning, and resource management to ensure cost-efficiency and optimal workload execution.
Data Warehouse Model Design: Hands-on experience in designing and implementing dimensional data models (star/snowflake schemas) and other data warehousing concepts for analytical workloads.
Stakeholder Collaboration: Collaborate with Product Owners, business leaders, and analytics teams to translate complex business requirements into technical solutions and present architectural proposals.
Continuous Improvement: Stay abreast of emerging technologies, industry trends, and Databricks features, recommending improvements and modernization opportunities across the data ecosystem.
Responsibilities
Role Overview: We are seeking a highly experienced and visionary Azure Solution Architect to design and implement our next-generation data platform. This role will be instrumental in architecting end-to-end data solutions, integrating advanced AI features, and ensuring the highest standards of data quality, management, and security. You will work closely with our Data Engineering team, providing technical mentorship and strategic guidance to deliver high-impact data products, including interactive AI-driven applications and dashboards. While primarily an architectural role, the candidate must also be willing and able to actively contribute to data engineering development activities when required, ensuring practical implementation aligns with strategic design.
Key Responsibilities:
Solution Architecture & Design: Design and architect scalable, reliable, and secure end-to-end data solutions on Azure, primarily leveraging Databricks Lakehouse Platform. This includes defining data models, storage strategies, and integration patterns aligned with business and enterprise architecture standards.
Technical Mentorship: Provide technical mentorship to a team of Data Engineers, fostering a culture of innovation, best practices, and continuous improvement.
Data Platform Development: Oversee the development and optimization of data pipelines (ETL/ELT) using PySpark and Spark SQL within the Databricks environment, ensuring efficiency and scalability for large-scale data processing.
AI Feature Integration & Application Development: Architect and integrate advanced AI/ML capabilities into the data platform. This includes leveraging Databricks features for developing AI chatbots, data manipulation agents and designing Databricks Webapps for interactive data experiences.
AI/BI Dashboard Development: Lead the design and development of sophisticated AI/BI dashboards within the Databricks ecosystem, enabling insightful data visualization and advanced analytical reporting for business users.
Data Governance, Quality & Security: Define and implement robust data quality frameworks, data management strategies and security protocols across Databricks workspaces, including access control, data lineage, and compliance with regulatory and organizational standards. Expertise in Unity Catalog is a must-have for centralized data governance.
Performance Optimization: Drive performance optimization initiatives for Databricks Spark clusters, including configuration, tuning, and resource management to ensure cost-efficiency and optimal workload execution.
Data Warehouse Model Design: Hands-on experience in designing and implementing dimensional data models (star/snowflake schemas) and other data warehousing concepts for analytical workloads.
Stakeholder Collaboration: Collaborate with Product Owners, business leaders, and analytics teams to translate complex business requirements into technical solutions and present architectural proposals.
Continuous Improvement: Stay abreast of emerging technologies, industry trends, and Databricks features, recommending improvements and modernization opportunities across the data ecosystem.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Senior Python Developer
Keywords Mandatory: Python, Pytest, REST, Microservice, DevOps, Azure
Keywords Optional: Gherkin,
Role
We are searching you as a Senior Python Developer to continuously improve our system within an agile working environment and reduce the complexity of cloud components into an integrated, easily manageable service for our users.
Your first challenge will be to design and implement Python API, which evolves our service into a collaborative, API-based platform. You will select tools and frameworks, define interfaces and manage the Microservices’ lifecycle.
Responsibilities
● Reviewing software design, code and other deliverables created by your team to guarantee high-quality results
● Analyzing requirements of the platform architects to ensure a compliant and secure infrastructure in the Azure cloud
● Ensuring interoperability between latest Azure products and existing components
● Designing software modules for automatic testing and continuous deployments
● Delivering realistic effort estimates as input for our platform roadmap
● Writing behavioral tests and unit tests
● Setting up the development/deployment environments where needed.
● Documenting and reviewing operating manuals for the first-level support
● Analyzing and solving incidents in productive environment while avoiding data loss and minimizing service outages
● Challenging current practices, giving feedback to colleagues and encouraging software development best-practices to build the best solution for our users
Mercedes-Benz Research and Development India
Private Limited
18.03.2023
Job Qualifications
Mandatory Skills
● 4+ years of full time software development experience as Python Developer
● Expertise in Python REST API framework Fast-API
● Hands-on programming with Python, Pytest, REST API
● Experience on how to handle compliance and security standards
● Experience on Micro service based architecture designs.
● Experience with Docker and Kubernetes
● Experience in building CI/CD pipelines in Azure DevOps
● Experience on Git
● Experience in working on any cloud technologies (Microsoft Azure, AWS, GCP etc)
● Excellent social and communication skills for mentoring and knowledge sharing
● Fluent English in spoken and written
Preferred Qualifications
● Knowledge with on BDD framework languages such as Gherkin
● Know-how about following Azure services: Virtual Networks, Automation Accounts, Role
Based Access Control, Data Factory, App Service Plan, Virtual Machines, Data Lake
Storage, Log Analytics and/or Storage Account
● Knowledge of software development practices like Scrum and Test-Driven Development
● Preferred to have any Microsoft Azure Certifications
● Preferred to have experience in an international team or abroad
Responsibilities
Senior Python Developer
Keywords Mandatory: Python, Pytest, REST, Microservice, DevOps, Azure
Keywords Optional: Gherkin,
Role
We are searching you as a Senior Python Developer to continuously improve our system within an agile working environment and reduce the complexity of cloud components into an integrated, easily manageable service for our users.
Your first challenge will be to design and implement Python API, which evolves our service into a collaborative, API-based platform. You will select tools and frameworks, define interfaces and manage the Microservices’ lifecycle.
Responsibilities
● Reviewing software design, code and other deliverables created by your team to guarantee high-quality results
● Analyzing requirements of the platform architects to ensure a compliant and secure infrastructure in the Azure cloud
● Ensuring interoperability between latest Azure products and existing components
● Designing software modules for automatic testing and continuous deployments
● Delivering realistic effort estimates as input for our platform roadmap
● Writing behavioral tests and unit tests
● Setting up the development/deployment environments where needed.
● Documenting and reviewing operating manuals for the first-level support
● Analyzing and solving incidents in productive environment while avoiding data loss and minimizing service outages
● Challenging current practices, giving feedback to colleagues and encouraging software development best-practices to build the best solution for our users
Mercedes-Benz Research and Development India
Private Limited
18.03.2023
Job Qualifications
Mandatory Skills
● 4+ years of full time software development experience as Python Developer
● Expertise in Python REST API framework Fast-API
● Hands-on programming with Python, Pytest, REST API
● Experience on how to handle compliance and security standards
● Experience on Micro service based architecture designs.
● Experience with Docker and Kubernetes
● Experience in building CI/CD pipelines in Azure DevOps
● Experience on Git
● Experience in working on any cloud technologies (Microsoft Azure, AWS, GCP etc)
● Excellent social and communication skills for mentoring and knowledge sharing
● Fluent English in spoken and written
Preferred Qualifications
● Knowledge with on BDD framework languages such as Gherkin
● Know-how about following Azure services: Virtual Networks, Automation Accounts, Role
Based Access Control, Data Factory, App Service Plan, Virtual Machines, Data Lake
Storage, Log Analytics and/or Storage Account
● Knowledge of software development practices like Scrum and Test-Driven Development
● Preferred to have any Microsoft Azure Certifications
● Preferred to have experience in an international team or abroad
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
"5+ years of experience in embedded software development.
Ø Minimum 2 years of hands-on experience with RDK-B platform (preferred).
Ø Strong programming skills in C/C++.
Ø Proficiency in Linux system programming, multithreading, and IPC mechanisms.
Ø Experience with CCSP, HAL, and Yocto build systems.
Ø In-depth understanding of networking protocols – TCP/IP, DHCP, DNS, IPv4/IPv6.
Ø Hands-on with tools such as Wireshark, Gerrit, Jenkins, and Git.
Ø Exposure to DOCSIS, GPON, LTE/5G, Ethernet, prpl, Gstreamer and Wi-Fi 802.11 standards.
Ø Strong analytical and problem-solving abilities with effective communication skills.
Develop and maintain embedded software solutions for communication and data management systems within gateways.
Responsibilities
• Design, develop, and test embedded software for gateway devices.
• Experience with RDKB and development of solutions based on this platform.
• Collaborate with hardware and software teams to ensure system integration.
• Analyze and troubleshoot technical issues related to embedded systems.
• Write technical documentation and software specifications.
• Participate in code reviews and integration testing."
Responsibilities
Salary : Rs. 2,50,000.0 - Rs. 2,50,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
