Solution Architect - AWS Data & Analytics Quantiphi

7.0 - 11.0 years

0 Lacs

maharashtra

On-site

As a Solutions Architect with over 7 years of experience, you will have the opportunity to leverage your expertise in cloud data solutions to architect scalable and modern solutions on AWS. In this role at Quantiphi, you will be a key member of our high-impact engineering teams, working closely with clients to solve complex data challenges and design cutting-edge data analytics solutions. Your responsibilities will include acting as a trusted advisor to clients, leading discovery/design workshops with global customers, and collaborating with AWS subject matter experts to develop compelling proposals and Statements of Work (SOWs). You will also represent Quantiphi in various forums such as tech talks, webinars, and client presentations, providing strategic insights and solutioning support during pre-sales activities. To excel in this role, you should have a strong background in AWS Data Services including DMS, SCT, Redshift, Glue, Lambda, EMR, and Kinesis. Your experience in data migration and modernization, particularly with Oracle, Teradata, and Netezza to AWS, will be crucial. Hands-on experience with ETL tools such as SSIS, Informatica, and Talend, as well as a solid understanding of OLTP/OLAP, Star & Snowflake schemas, and data modeling methodologies, are essential for success in this position. Additionally, familiarity with backend development using Python, APIs, and stream processing technologies like Kafka, along with knowledge of distributed computing concepts including Hadoop and MapReduce, will be beneficial. A DevOps mindset with experience in CI/CD practices and Infrastructure as Code is also desired. Joining Quantiphi as a Solutions Architect is more than just a job it's an opportunity to shape digital transformation journeys and influence business strategies across various industries. If you are a cloud data enthusiast looking to make a significant impact in the field of data analytics, this role is perfect for you.,

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Software Engineer Digital Connectivity MAN TRUCK & BUS INDIA PVT. LTD

3.0 - 7.0 years

0 Lacs

pune, maharashtra

On-site

As an experienced professional with 3-6 years of experience in the Automotive industry, you will be responsible for C++ application development and maintenance within the realm of automotive IoT connectivity. Your primary duties will include software builds, writing unit, module, and integration tests, as well as conducting manual and automated End-2-End tests to validate various systems. Additionally, you will provide support in the validation of products and participate in end-to-end development and testing for products, utilizing hardware test setups. Furthermore, you will be expected to advise teams on development queries related to automotive IoT environments and collaborate on enhancing services, tooling, and processes continuously. Being part of an international product team, you will develop and maintain applications, ensuring the quality of the service to enhance customer satisfaction. To excel in this role, you must possess experience in connected vehicle application development for Truck/Bus/Van in the context of Infotainment and Telematics systems. Proficiency in advanced C++ (11/14/17) and Adaptive AUTOSAR is essential, along with familiarity with DevOps tools. Your expertise in scripting and programming languages, particularly C# and C++, for application development and testing is crucial. Moreover, experience in creating automated test solutions and having an Agile and DevOps mindset will be advantageous. Your willingness to learn new technologies, solve problems innovatively, and exhibit flexibility for international travel (e.g., 3 months) will be highly valued. Additionally, familiarity with writing integration tests using C#, understanding of MQTT broker, Protobuf library, and Adaptive AUTOSAR, knowledge of Python for rapid prototyping, and emphasis on quality, maintainability, and usability are desirable qualities for this role. Effective communication, a team-oriented mindset, strong collaboration skills, and proficiency in written and spoken English are also important attributes for success in this position.,

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