Tata Consultancy Services
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Jobs at Tata Consultancy Services
Role descriptions / Expectations from the Role
Develop, deploy, and maintain Power Platform solutions, including canvas apps, model-driven apps, and flows.
Collaborate with cross-functional teams to define, design, and ship new features.
Troubleshoot and resolve issues related to Power Platform applications.
Ensure the security, scalability, and reliability of Power Platform solutions.
You will be joining a fast-growing product team within the End User Technology Services organisation. You will be part of the build out of the capability in the region and you will liaise with our customers across all the LEADING BANK business lines
DataStage Developer Job Description
A DataStage Developer is responsible for designing, developing, and implementing data integration solutions using IBM InfoSphere DataStage. Here's a brief overview:
Key Responsibilities
- Data Integration: Design and develop data integration jobs using DataStage to extract, transform, and load (ETL) data from various sources.
- Job Development: Develop and test DataStage jobs to meet business requirements.
- Data Transformation: Use DataStage transformations to cleanse, aggregate, and transform data.
- Performance Optimization: Optimize DataStage jobs for performance and scalability.
- Troubleshooting: Troubleshoot DataStage issues and resolve data integration problems.
Technical Skills
- DataStage: Strong understanding of IBM InfoSphere DataStage and its components.
- ETL: Experience with ETL concepts and data integration best practices.
- Data Transformation: Knowledge of data transformation techniques and DataStage transformations.
- SQL: Familiarity with SQL and database concepts.
- Data Modeling: Understanding of data modeling concepts and data warehousing.
Python
Django
FlaskPython Developer Job Description
A Python Developer is responsible for designing, developing, and deploying software applications using the Python programming language. Here's a brief overview:
Key Responsibilities
- Software Development: Develop high-quality software applications using Python.
- Problem-Solving: Solve complex problems using Python programming language.
- Code Maintenance: Maintain and update existing codebases to ensure they remain efficient and scalable.
- Collaboration: Collaborate with cross-functional teams to identify and prioritize project requirements.
- Testing and Debugging: Write unit tests and debug applications to ensure high-quality code.
Technical Skills
- Python: Strong understanding of Python programming language and its ecosystem.
- Programming Fundamentals: Knowledge of programming fundamentals, including data structures, algorithms, and object-oriented programming.
- Frameworks and Libraries: Familiarity with popular Python frameworks and libraries, such as Django, Flask, or Pandas.
- Database Management: Understanding of database management systems, including relational databases and NoSQL databases.
- Version Control: Knowledge of version control systems, including Git.
Machine Learning (ML)PythonMachine Learning (ML) / MLOps Engineer Job Description
An ML/MLOps Engineer is responsible for designing, developing, and deploying machine learning models and pipelines. Here's a brief overview:
Key Responsibilities
- Model Development: Design and develop machine learning models using various algorithms and techniques.
- MLOps: Implement and manage machine learning pipelines, including data preparation, model training, and deployment.
- Model Deployment: Deploy machine learning models to production environments, ensuring scalability and reliability.
- Model Monitoring: Monitor model performance and retrain models as needed to maintain accuracy and relevance.
- Collaboration: Collaborate with cross-functional teams, including data scientists, product managers, and engineers.
Technical Skills
- Machine Learning: Strong understanding of machine learning concepts, including supervised and unsupervised learning, deep learning, and reinforcement learning.
- Programming: Proficiency in programming languages like Python, R, or Julia.
- ML Frameworks: Experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.
- MLOps Tools: Familiarity with MLOps tools like TensorFlow Extended (TFX), MLflow, or Kubeflow.
- Cloud Platforms: Experience with cloud platforms like AWS, Azure, or GCP.
Key Responsibilities:
- Act as the primary liaison between the customer and the ServiceNow implementation team during the co-creation phase.
- Facilitate workshops and interviews to understand the customer’s business needs, pain points, and objectives.
- Build trust and rapport with stakeholders to encourage open communication.
- Evaluate the customer’s existing ITSM, ITOM, HR, or other enterprise tools.
- Document current workflows, integrations, and pain points with the existing tools.
- Identify redundant tools and processes that can be streamlined with ServiceNow.
- Collect and analyze functional and technical requirements for the ServiceNow implementation.
- Prioritize requirements based on customer goals, compliance needs, and business impact.
- Translate business requirements into actionable technical solutions.
- Compare the customer’s current toolset and processes against ServiceNow’s capabilities.
- Identify gaps, limitations, and opportunities for enhancement using ServiceNow modules and custom applications.
- Work with the customer to co-create a high-level architecture and roadmap for the ServiceNow implementation.
- Propose relevant ServiceNow modules and custom solutions to address identified gaps.
- Ensure alignment with the customer’s enterprise architecture and long-term goals.
- Prepare detailed assessment reports, including findings, proposed solutions, and implementation plans.
- Document key decisions, risks, and dependencies during the co-creation phase.
- Work closely with ServiceNow Architects, Developers, and Product Owners to refine the proposed solution.
Java
Docker
JenkinsMust have : Java 8, Spring related technologies such as Spring Core, Spring Boot, Spring MVC, and Spring Integration, CI/CD with knowledge of Git Hub, Maven and Jenkins
Responsibilities:
1. Design high quality deliverables adhering to business requirement with defined standards and design principles, patterns
2. Develop and maintain highly scalable, high performance and highly available API’s/Microservices
3.Develop/Integrate the code adhering to CI/CD, Spring Integration (kafka), Spring cloud
Java
Spring BootFull Stack Developer (Java + Angular) Job Description
A Full Stack Developer with expertise in Java and Angular is responsible for designing, developing, and deploying scalable and efficient web applications. Here's a breakdown of the job:
Key Responsibilities
- Backend Development: Develop server-side logic using Java and frameworks like Spring Boot.
- Frontend Development: Build responsive and interactive user interfaces using Angular.
- API Development: Design and implement RESTful APIs to interact with frontend applications.
- Database Integration: Integrate databases like Oracle, MySQL, or PostgreSQL with Java applications.
- Testing and Debugging: Write unit tests and debug applications to ensure high-quality code.
Essential Skills
- Java: Strong understanding of Java programming language and its ecosystem.
- Angular: Experience with Angular framework and its ecosystem.
- Spring Boot: Knowledge of Spring Boot framework for building web applications.
- RESTful APIs: Understanding of RESTful API design and development.
- Database Management: Familiarity with database management systems like Oracle, MySQL, or PostgreSQL.
Vue.js
NodeJS (Node.js)Key Responsibilities
- Backend Development: Develop server-side logic using Node.js and frameworks like Express.js.
- Frontend Development: Build responsive and interactive user interfaces using Vue.js.
- API Development: Design and implement RESTful APIs to interact with frontend applications.
- Database Integration: Integrate databases like MongoDB or PostgreSQL with Node.js applications.
- Testing and Debugging: Write unit tests and debug applications to ensure high-quality code.
Essential Skills
- Node.js: Strong understanding of Node.js and its ecosystem.
- Vue.js: Experience with Vue.js framework and its ecosystem.
- JavaScript: Proficiency in JavaScript programming language.
- Frontend Development: Knowledge of frontend development concepts, including HTML, CSS, and JavaScript.
- Backend Development: Understanding of backend development concepts, including API design and database integration.
PythonRole descriptions / Expectations from the Role
· 6-7 years of IT development experience with min 3+ years hands-on experience in Snowflake
· Strong experience in building/designing the data warehouse or data lake, and data mart end-to-end implementation experience focusing on large enterprise scale and Snowflake implementations on any of the hyper scalers.
· Strong experience with building productionized data ingestion and data pipelines in Snowflake
· Good knowledge of Snowflake's architecture, features likie Zero-Copy Cloning, Time Travel, and performance tuning capabilities
· Should have good exp on Snowflake RBAC and data security.
· Strong experience in Snowflake features including new snowflake features.
· Should have good experience in Python/Pyspark.
· Should have experience in AWS services (S3, Glue, Lambda, Secrete Manager, DMS) and few Azure services (Blob storage, ADLS, ADF)
· Should have experience/knowledge in orchestration and scheduling tools experience like Airflow
· Should have good understanding on ETL or ELT processes and ETL tools.
Python
Amazon Web Services (AWS)5+ years of IT development experience with min 3+ years hands-on experience in Snowflake · Strong experience in building/designing the data warehouse or data lake, and data mart end-to-end implementation experience focusing on large enterprise scale and Snowflake implementations on any of the hyper scalers. · Strong experience with building productionized data ingestion and data pipelines in Snowflake · Good knowledge of Snowflake's architecture, features likie Zero-Copy Cloning, Time Travel, and performance tuning capabilities · Should have good exp on Snowflake RBAC and data security. · Strong experience in Snowflake features including new snowflake features. · Should have good experience in Python/Pyspark. · Should have experience in AWS services (S3, Glue, Lambda, Secrete Manager, DMS) and few Azure services (Blob storage, ADLS, ADF) · Should have experience/knowledge in orchestration and scheduling tools experience like Airflow · Should have good understanding on ETL or ELT processes and ETL tools.
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The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains.
With offices in US, India, UK, Australia, Mexico, and Canada, we offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
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Nudge is a user experience platform for consumer companies to help them activate, retain, and understand users.
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Who We Are
We're on a mission to revolutionize how companies deliver personalized experiences to their users. At Nudge, we've built a powerful SaaS platform that enables consumer companies to run rapid product experiments and deliver truly personalized user experiences. What makes us special? We help product and growth teams build native UX components without needing any development effort – yes, you heard that right!
Our Secret Sauce
We're proud of our comprehensive suite of tools that work together seamlessly:
- Want to create meaningful interactions? Our dynamic UX library has got you covered
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- Looking to create personalized customer journeys? Our user flows are here to help
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The best part? We integrate with over 25 popular tools like Mixpanel, Amplitude, Segment, and Braze. We believe in making your existing tech stack work better, not replacing it!
Our Team
We're led by our passionate co-founders, Kanishka Thakur (CEO) and Gaurav Rawat. Under Kanishka's leadership, we're pushing the boundaries of what's possible in personalization and experimentation.
Our Growth Story
We're backed by some amazing investors who believe in our vision. Our journey started with initial backing from GradCapital, and we've since received support from Antler. We're excited to share that we recently closed our Pre-Seed round in 2024, which is helping us accelerate our mission even faster!
What Makes Us Different:
We understand that every user is unique, and their experience should be too. That's why we've built our platform to personalize across multiple dimensions - content, timing, incentives, and UI. Whether you're running A/B tests, creating personalized journeys, or analyzing user behavior, we make it simple and effective.
Want to see how we can transform your user experiences? We'd love to show you around our platform - check out our website or the demo below!
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