11+ MDI Jobs in India

About Us: We are not just an AD agency or a creative agency, we are a Communication Company. Founded in 2014, Moshi Moshi is a young, creative, gutsy, and committed communication company that wants its clients to always Expect the EXTRA from it. Our primary clientele consists of Startups and corporations like Ola, Zoomcar, Mercedes Benz, ITC, Aditya Birla Group, TATA Group, MTV, IHCL, Jaquar, Sobha, Simple Energy, and Godrej amongst others. We have a huge team of creative folks, marketers, learners, developers, and coders who believe Moshi Moshi is an experience rather than a company.

Job Role: Graphic Design Intern

Experience Level: Fresher

Location: Bangalore, Onsite

Job Overview:

As a Graphic Design Intern focused on social media, you will support our team in creating engaging and visually appealing content for various social media platforms. This is an excellent opportunity to gain hands-on experience in a fast-paced environment and contribute to real-world projects.

Key Responsibilities:

● Content Creation: Design eye-catching graphics, animations, and videos for social media posts, stories, ads, and other digital content.

● Brand Consistency: Ensure all visual content aligns with our brand guidelines and maintains a cohesive look and feel across platforms.

● Social Media Trends: Stay up-to-date with current design trends and social media best practices to ensure content remains relevant and engaging.

● Collaboration: Work closely with the social media team, including content creators and marketing specialists, to brainstorm and execute creative ideas.

● Feedback Integration: Revise and refine designs based on feedback from team members and stakeholders to ensure high-quality deliverables.

● Analytics Review: Assist in analyzing the performance of social media graphics and provide recommendations for improvement based on engagement metrics.

Please attach your portfolio/Behance link to the resume while applying

Skill Set: 10 years plus as a full stack Java/JavaScript Developer

Micro Services, Distributed Systems

Cloud Services: AWS:(EC2,S3,Lambda,Load Balancing,Serverless)

Programming Backend: Node.js ,

Programming FrontEnd: React.js or ,Angular

Queuing: RabbitMQ /Kafka

Methodologies: Agile Scrum

Responsibilities:

End to end coding ; from software architecture to managing scaling,of high throughput(100000)RPS high volume transactions.

DIscuss business requirements and timelines with management and create a task plan for junior members.

Manage the day to day activities of all team members and report their work progress

Mentoring the team on best coding practices and making sure modules are Live

on time.

Management of security vulnerabilities.

Be a full individual contributor which means can work in a team as well as alone.

Attitude:

Passion for tech innovation and solve problems

GoGetter Attitude

Extremely humble and polite

Experience in Product companies and Managing small teams is a plus

DocNexus is revolutionizing the global medical affairs & commercial ecosystem with search. We provide a next-generation data platform that simplifies searching through millions of insights, publications, clinical trials, payments, and social media data within seconds to identify healthcare professionals (HCPs), products, manufacturers, and healthcare systems. Leveraging AI-powered Knowledge Graphs, DocNexus assists life science organizations in finding the right key opinion leaders (KOL/DOLs) who play a crucial role in developing and bringing life-saving pharmaceutical products and medical devices to market. Backed by industry leaders such as Techstars, JP Morgan, Mass Challenge, and recognized as one of the Top 200 Most Innovative Startups by TechCrunch Disrupt, we are committed to transforming healthcare insights. We are seeking a skilled and passionate DevOps Engineer to join our dynamic team and contribute to the efficient development, deployment, and maintenance of our platform.

We are looking for a visionary Sr. Full Stack Engineering Lead who is passionate about building and leading our technology department. The ideal candidate will have a solid technical background and experience in leading a team to drive innovation and growth. As Engineering Lead, you will oversee the development and dissemination of technology for external customers, vendors, and other clients to help improve and increase business.

Leadership and Strategy:

• Lead the engineering team and make strategic decisions regarding the technology stack, project management, and resource allocation.
• Establish the company’s technical vision and lead all aspects of technological development.

Development:

• Develop and maintain the front-end and back-end of web applications.
• Ensure the performance, quality, and responsiveness of applications.
• Collaborate with a team to define, design, and ship new features.

Maintenance and Optimization:

• Maintain code integrity and organization.
• Identify and correct bottlenecks and fix bugs.
• Continually work on optimizing the performance of different applications.

Security: Ensure the security of the web applications by integrating security best practices.

• Regularly update the system to protect against vulnerabilities.

Innovation:

• Research and implement new technologies and frameworks that can improve the performance and user experience of the platform.
• Stay informed on emerging technologies and trends that can potentially impact the company's products and services.

Collaboration and Communication:

• Work closely with other departments to understand their needs and translate them into technical solutions.
• Communicate technology strategy to partners, management, investors, and employees.

Project Management:

• Oversee and support project planning, deadlines, and progress.
• Ensure that the technology standards and best practices are maintained across the organization.

Mentoring and Team Building:

• Foster a culture of innovation and excellence within the technology team.
• Mentor and guide the professional and technical development of team members.

Front-End Development:

• HTML/CSS: For structuring and styling the web pages.
• JavaScript/TypeScript: Core scripting language, along with frameworks like Angular, React, or Vue.js for dynamic and responsive user interfaces.

Back-End Development:

• Python: Using frameworks like Django or Flask for server-side logic.
• Node.js: JavaScript runtime environment for building scalable network applications.
• Ruby on Rails: A server-side web application framework written in Ruby.

Database Management:

• SQL Databases: MySQL, PostgreSQL for structured data storage.
• NoSQL Databases: MongoDB, Cassandra for unstructured data or specific use cases.

Server Management:

• Nginx or Apache: For server and reverse proxy functionalities.
• Docker: For containerizing applications and ensuring consistency across multiple development and release cycles.
• Kubernetes: For automating deployment, scaling, and operations of application containers.

DevOps and Continuous Integration/Continuous Deployment (CI/CD):

• Git: For version control.
• Jenkins, Travis CI, or CircleCI: For continuous integration and deployment.
• Ansible, Chef, or Puppet: For configuration management.

Cloud Services:

• AWS: For various cloud services like computing, database storage, content delivery, etc.
• Serverless Frameworks: Such as AWS Lambda or Google Cloud Functions for running code without provisioning or managing servers.

Security:

• OAuth, JWT: For secure authentication mechanisms.
• SSL/TLS: For secure data transmission.
• Various Encryption Techniques: To safeguard sensitive data.

Performance Monitoring and Testing:

• Selenium, Jest, or Mocha: For automated testing.
• New Relic or Datadog: For performance monitoring.

Data Science and Analytics:

• Python Libraries: NumPy, Pandas, or SciPy for data manipulation and analysis.
• Machine Learning Frameworks: TensorFlow, PyTorch for implementing machine learning models.

Other Technologies:

• GraphQL: For querying and manipulating data efficiently.
• WebSockets: For real-time bi-directional communication between web clients and servers.

Data Delivery Manager is responsible for managing and overseeing the end-to-end delivery of data

solutions, from data architecture and ingestion to processing, analysis, and reporting. This role

ensures that data projects are completed on time, within scope, and aligned with business

objectives. The Data Delivery Manager works with cross-functional teams, including data

engineers, analysts, and other stakeholders, to deliver high-quality data solutions. Key

Responsibilities: Project and Program Management: o Lead and manage the delivery of data-

driven projects, ensuring they are completed on time and within budget. o Develop and maintain

project plans, timelines, and resource allocation. o Monitor project progress and proactively

identify risks, implementing solutions to ensure successful project completion. o Ensure alignment

between data initiatives and business goals, maintaining continuous communication with

stakeholders. Stakeholder Engagement: o Serve as the primary point of contact between business

stakeholders and the data team, translating business requirements into technical specifications. o

Collaborate with business leaders to understand data needs and develop solutions that meet

those needs. o Provide regular updates on project status, risks, and key deliverables to

stakeholders and leadership teams. o Facilitate meetings to gather requirements and

communicate project milestones. Data Strategy & Architecture: o Oversee the design and

implementation of data solutions that support business objectives. o Ensure adherence to data

governance and quality standards throughout the data pipeline lifecycle. o Collaborate with data

architects to define scalable, secure, and high-performance data architectures. o Support data

integration initiatives across different platforms, ensuring smooth and efficient data flow. Team

Leadership and Development: o Manage cross-functional teams of data engineers, analysts, and

other professionals to deliver projects effectively. o Provide leadership and mentoring to team

members, fostering a culture of collaboration, innovation, and continuous learning. o Set clear

expectations, performance goals, and career development opportunities for the team. o Address

and resolve any team challenges, ensuring high levels of productivity and motivation. Quality

Assurance: o Ensure the accuracy, reliability, and quality of data solutions by implementing robust

testing, validation, and review processes. o Develop and enforce data standards, best practices,

and methodologies to ensure consistent, high-quality deliverables. o Drive continuous

improvement initiatives, analyzing past projects and identifying areas for enhancement. Risk

Management and Troubleshooting: o Identify potential risks to project delivery, including data

pipeline issues, resource shortages, or technical blockers, and implement mitigation strategies. o

Troubleshoot and resolve data-related issues and challenges during the project lifecycle.

Reporting and Analytics: o Oversee the creation and maintenance of data dashboards, reports, and

performance metrics. o Ensure that data solutions provide actionable insights for the business,

driving informed decision-making. Experience: o 5+ years of experience in managing programs

related to data management, data engineering, or analytics. o Proven track record in managing

data projects and delivering data solutions in a timely manner. o Experience with data integration,

data warehousing, and data modeling. o Strong understanding of data pipeline management, ETL

processes, and data analytics. Skills: o In-depth knowledge of data management tools and

technologies (e.g., SQL, NoSQL, ETL tools, cloud platforms such as AWS, Google Cloud, or Azure).

o Proficient in project management methodologies (Agile, Scrum, Waterfall). o Strong leadership

and team management skills, with the ability to drive collaboration across different functions. o

Excellent communication skills with the ability to translate complex data-related concepts into

understandable terms for non-technical stakeholders. o Analytical mindset with strong problem-

solving abilities. o Knowledge of data visualization and reporting tools (e.g., Power BI, Tableau,

Looker) is a plus. Certifications: o Project Management Professional (PMP) or Scrum Master

certification (preferred). o Data-related certifications (e.g., AWS Certified Big Data, Google

Professional Data Engineer) are a plus. Preferred Skills: o Experience with big data technologies

(e.g., Hadoop, Spark, Kafka). o Familiarity with machine learning or AI applications related to data

solutions. o Experience with data governance and compliance (e.g., GDPR).

Responsibilities

• Develop quality software and web applications
• Analyse and maintain existing software applications
• Create and maintain SQL databases, tables, views, stored procedures etc. (Microsoft SQL Server 2008+)
• Design highly scalable, testable code
• Discover and fix programming bugs
• Monitor and maintain application security and integrity
• Communicate project status and identify technical risks
• Evaluate and recommend appropriate technologies based on product needs and industry trends

Desired Skills:

• Develop quality software and web applications
• Excellent communication and organisational skills, must be a team player
• Excellent analytical skills
• Ability to work in a fast-paced environment
• Ability to stay focused and deliver on time and on budget
• An up-to-date, working knowledge of current, past, and projected trends in the industry
• Knowledge of AI Techniques such as Neural Network Programming would be an asset
• Knowledge of Steering Behaviors Programming Techniques would be an asset

Qualifications

• Strong knowledge in .NET platform (ASP .NET) and C#
• Strong knowledge of Microsoft SQL Server 2008+ and T-SQL language
• Proficient in MS Visual Studio and TFS, including application build/deployment
• Knowledge and experience with creating and consuming web services

Educational Requirements:

Bachelor's degree diploma in computer science or software engineering