Junior Graphic Designer

Roles and Responsibilities:



Curriculum Development:

• Design and develop engaging LMS course content, modules, and assessments.

Content Management:

• Upload, organize, and maintain course materials within the LMS.

Stakeholder Collaboration:

• Work with subject matter experts and department heads to identify training needs and gather content.

Quality Assurance:

• Review and test course content to ensure it meets quality standards.

User Support:

• Provide guidance to learners and develop support materials like user guides and FAQs.

Evaluation and Improvement:

• Assess training effectiveness through evaluations and feedback, and implement improvements.

Qualifications:

• Bachelor’s degree in Education, Instructional Design, HR, or related field.
• Experience in curriculum development and instructional design for LMS.
• Proficiency with LMS software and e-learning authoring tools.
• Strong project management and communication skills.
• Detail-oriented with an analytical mindset.

Regards,

Dhivya V

Experience: 5-10 years experience

Location: Bangalore

Required Skills and Experience:

• 5-10 years of experience in front-end development, with a strong focus on React.js.
• Proven experience with React.js and related technologies (e.g., Redux, React Router, Hooks, Context API).
• Strong proficiency in JavaScript, HTML5, CSS3, and modern front-end build tools (e.g., Webpack, Babel, etc.).
• Hands-on experience with RESTful APIs, Server Sent Events, WebSockets
• Hand’s on experience with web components, microfrontends
• Deep understanding of browser apis like history, intersectionobserver, event handling, virtual panes, drag and drop etc
• Ability to work on a complex and fast moving code base.
• Familiarity with TypeScript and its integration with React applications.
• Strong problem-solving skills and attention to detail.

Location:  Chennai
Education: BE/BTech
Experience: Minimum 3+ years of experience as a Data Scientist/Data Engineer

Domain knowledge: Data cleaning, modelling, analytics, statistics, machine learning, AI

Requirements:

• To be part of Digital Manufacturing and Industrie 4.0 projects across client group of companies
• Design and develop AI//ML models to be deployed across factories
• Knowledge on Hadoop, Apache Spark, MapReduce, Scala, Python programming, SQL and NoSQL databases is required
• Should be strong in statistics, data analysis, data modelling, machine learning techniques and Neural Networks
• Prior experience in developing AI and ML models is required
• Experience with data from the Manufacturing Industry would be a plus

Roles and Responsibilities:

• Develop AI and ML models for the Manufacturing Industry with a focus on Energy, Asset Performance Optimization and Logistics
• Multitasking, good communication necessary
• Entrepreneurial attitude

• Job Location:                      Chennai
• Reporting to:                      Team Leader, Energy Management System

Job Description:

• Bachelor's or Master's degree in Computer Science.
• Proven experience in leading a team of backend engineers
• Strong organizational and project management skills.
• Proficiency with fundamental front end languages such as HTML, CSS and JavaScript.
• Familiarity with Android development - kotlin, RX-java, design pattern.
• Proficiency with server-side languages such as Spring boot, Hibernate.
• Familiarity with database technology such as MySQL and MongoDB.
• Familiarity with cloud platforms(GCP).
• Experience with Agile/Scrum methodologies
• Excellent verbal communication skills.
• Good problem-solving skills.
• Attention to detail.

                                               Sr. Data Engineer

Company Profile:

Bigfoot Retail Solutions [Shiprocket] is a logistics platform which connects Indian eCommerce SMBs with logistics players to enable end to end solutions.

Our innovative data backed platform drives logistics efficiency, helps reduce cost, increases sales throughput by reducing RTO and improves post order customer engagement and experience.

Our vision is to power all logistics for the direct commerce market in India

including first mile, linehaul, last mile, warehousing, cross border and O2O.

Position: Sr.Data Engineer

Team : Business Intelligence

Location: New Delhi

Job Description:

We are looking for a savvy Data Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

Key Responsibilities:

• Create and maintain optimal data pipeline architecture.
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centres and AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

Qualifications for Data Engineer

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

Summary of the role: 

As an Analytics Engineer, you will work closely with internal team members to implement Adobe Analytics/Google Analytics on clients’ websites. In this role, you will use front-end technologies such as HTML, CSS, JavaScript, jQuery to support the development and implementation of web analytics tracking. You will also set up and maintain successful Adobe Analytics/Google Analytics deployments and identify and solve complex and interesting tracking problems. Using JavaScript/jQuery, you will design analytics solutions by understanding the client’s business and online marketing goals, gathering requirements, defining project scope, and providing technical guidance.

Qualification:

• Bachelor’s degree from an accredited university
• Strong technical aptitude and expertise with JavaScript, HTML,CSS
• Expertise in Adobe DTM/Adobe Launch and Adobe Analytics implementation through other tag management solutions

Experience:

• 3+ years of relevant experience in Adobe Analytics implementation using DTM/Adobe Launch
• Web Development experience is a plus as it relates to the development, configuration and implementation of Web Analytics solutions
• Experience with other web platforms like Google Analytics, Tealium, Tealeaf, etc. is a plus

Responsibilities:

• Understand client business requirements and how to map those requirements to specific digital measurement tactics
• Development of documentation, deliverables and solutions requirements for web analytics tracking
• Work closely with account management and development teams to oversee the implementation, configuration and debugging of web analytics code, both on-site and through tag management systems
• Support digital marketing teams (paid search, SEO, conversion rate optimization, digital media, etc.) to implement customized tracking for campaign initiatives

Key Skills:

• Strong understanding of web analytics implementation tools - Adobe Analytics Implementation Experience
• Ability to use Adobe DTM/Adobe Launch to implement changes suggested by web analytics team
• Hands on experience in writing DTM rules and troubleshooting the existing implementations
• Expert-level knowledge in Adobe DTM/ Adobe Launch and Adobe Analytics is a must
• Knowledge and experience in Google Analytics/Google Tag Manager or other web analytics platforms is a plus
• Knowledge of web development technologies - JavaScript, HTML, CSS etc.
• Experience in producing technical specifications, solution design reference documents, reference manuals, developer guides, and/or code requirements
• Excellent ability to read and debug HTML, JavaScript to successfully test tags
• Presents results in a manner that the business partners can understand, ensuring interpretation, appropriate detail and usability
• Excellent written skills and the ability to write for both technical and non-technical users
• Willingness to travel for client discoveries and other off-site meetings
• Experience with developing analytics testing processes
• Ability to effectively communicate with clients and colleagues at all levels

About the Role

If you are interested in developing the future architecture of Uber's Rider stack by building its core building blocks, join the Rider Backend Platform team. We build backend architectural components and frameworks comprising of services, libraries, state storage and other building blocks that aim to optimise the core Rider flow and foundational features that are shared among all rider products, including but not limited to, Uber Rider app, UberLite, m.uber.com, etc.

What You'll Do

• Work with Rider product engineering teams to identify, design and build solutions that help scale Rider services and platforms.
• Drive adoption of best practices in code health, testing, and maintainability
• Analyze and decompose complex software systems and collaborate with cross-functional teams to influence design for scalability and testability
• Work with smart and motivated teammates in a fast-paced, collaborative environment.
• Build elegant backend platform components for high throughput and low latency distributed systems.
• Solve challenging problems with cutting edge design and algorithms.

What You'll Need

• 4+ years Strong meaningful Individual contributor experience as a software engineer
• Design: Knowledge of data structures and an eye for design. You can discuss the tradeoff between design choices, both on a theoretical level and on an applied level.
• Strong coding/debugging abilities: You have advanced knowledge of at least one programming language, and are happy to learn more. Our core languages are Go and Java.
• Fast learner: We're looking for software engineers who thrive on learning new technologies and don't believe in one-size-fits-all solutions. You should be able to adapt easily to meet the needs of our massive growth and rapidly evolving business environment.
• A team player: You believe that you can achieve more on a team -- that the whole is greater than the sum of its parts. You rely on others' candid feedback for continuous improvement.

• Business acumen: You understand requirements beyond the written word. Whether you're working on an API used by other developers, an internal tool consumed by our operation teams, or a feature used by millions of customers, your attention to details leads to a delightful user experience.

About the Team: **Rider Backend Platform**

Builds the core building blocks needed to power the rider experiences on the different Rider facing apps including the core Uber app, Uber Lite, Web as we move on to become the preferred transportation platform for millions of riders all over the world.

Uber

At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world.

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward, together.