2.0 - 6.0 years

0 Lacs

noida, uttar pradesh

On-site

As an Individual Contributor at Adobe RTCDP, you will play a crucial role in the development of features of medium to large complexity. You will leverage your in-depth knowledge to transform requirements into feature specifications. Collaborating with product management and Engineering leads, you will contribute significantly to the analysis, design, prototype, and implementation of new features, as well as enhancements to existing ones. As a proactive self-starter and fast learner, you will be responsible for developing methods, techniques, and evaluation criteria to achieve desired results. Ensuring high-quality code and related documentation will be a key part of your responsibilities. To succeed in this role, you should hold a B.Tech/M.Tech from a reputable institute and possess 2 to 5 years of hands-on design and development experience in software development, preferably within a product development organization. Proficiency in Java/Scala, hands-on experience with REST APIs, and a proven understanding of frameworks such as Springboot, Apache Spark, and Kafka are essential. Your knowledge of software fundamentals, including algorithm design and analysis, data structure design and implementation, documentation, and unit testing, will be crucial. A solid understanding of object-oriented design, product life cycles, and associated issues is required. Demonstrating excellent computer science fundamentals, architectural understanding, design skills, and performance knowledge will be advantageous. Your ability to work independently, proactively, and collaboratively, with strong written and oral communication skills, will be highly valued. At Adobe, we value creativity, curiosity, and continuous learning as integral parts of your career growth journey. We encourage you to update your Resume/CV and Workday profile, highlighting your unique Adobe experiences and volunteer work. Explore internal mobility opportunities on Inside Adobe and prepare for interviews by following the provided tips. Upon applying for a role via Workday, our Talent Team will contact you within 2 weeks. If you progress to the official interview stage, please inform your manager to support your career advancement. Joining Adobe means immersing yourself in a globally recognized exceptional work environment. You will work alongside colleagues committed to mutual growth through our Check-In approach, fostering ongoing feedback. If you seek to make a meaningful impact, Adobe is the ideal place for you. Discover firsthand employee experiences on the Adobe Life blog and explore our comprehensive benefits package. Adobe is dedicated to ensuring accessibility for all users on Adobe.com. If you require accommodations due to a disability or special needs during the website navigation or application process, please contact accommodations@adobe.com or call (408) 536-3015.,

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Title GCP BIG DATA ARCHITECT Grid Dynamics

5.0 - 9.0 years

0 Lacs

chennai, tamil nadu

On-site

You should have a strong understanding of the tech stack including GCP Services such as BigQuery, Cloud Dataflow, Pub/Sub, Dataproc, and Cloud Storage. Experience with Data Processing tools like Apache Beam (batch/stream), Apache Kafka, and Cloud Dataprep is crucial. Proficiency in programming languages like Python, Java/Scala, and SQL is required. Your expertise should extend to Orchestration tools like Apache Airflow (Cloud Composer) and Terraform, and Security aspects including IAM, Cloud Identity, and Cloud Security Command Center. Knowledge of Containerization using Docker and Kubernetes (GKE) is essential. Familiarity with Machine Learning platforms such as Google AI Platform, TensorFlow, and AutoML is expected. Candidates with certifications like Google Cloud Data Engineer and Cloud Architect are preferred. You should have a proven track record of designing scalable AI/ML systems in production, focusing on high-performance and cost-effective solutions. Strong experience with cloud platforms (Google Cloud, AWS, Azure) and cloud-native AI/ML services like Vertex AI and SageMaker is important. Your role will involve implementing MLOps practices, including model deployment, monitoring, retraining, and version control. Leadership skills are key to guide teams, mentor engineers, and collaborate effectively with cross-functional teams to achieve business objectives. A deep understanding of frameworks like TensorFlow, PyTorch, and Scikit-learn for designing, training, and deploying models is necessary. Experience with data engineering principles, scalable pipelines, and distributed systems (e.g., Apache Kafka, Spark, Kubernetes) is also required. Nice to have requirements include strong leadership and mentorship capabilities to guide teams towards best practices and high-quality deliverables. Excellent problem-solving skills focusing on designing efficient, high-performance systems are valued. Effective project management abilities are necessary to handle multiple initiatives and ensure timely delivery. Collaboration and teamwork are emphasized to foster a positive and productive work environment.,

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