Field Sales Executive - West Zone

Role: Graphic Designer - Work from Home

Exp: 0-2 Years

Salary: 25K

• Overall Synopsis (Skills to focus) 
• Brush up your skills in Photoshop & Illustrator
• Illustrator tools - Pen tool, Gradient, Pathfinder, Blending modes, type on a path, rotate and reflect, mesh tool, selection tool, etc.
• Photoshop tools – change the color of the background, remove a selection, pen tool etc. 
• Make sure to revise to recreate curves, and nodes smoothly while doing vectorization.
• Try making some logo designs, and work on the curves & texture.

If interested kindly share your updated cv at 82008 31681 along with this Text: "Your Name_City_Applying for Cimpress"

As a Software Developer in Test (SDET), you will work closely with the product management and the developer team to deliver top quality products that meet and exceed the functional and non-functional requirements.

Career Growth Opportunities:

Project ownership

Opportunity to work with highly skilled team members Commitment:

Full Time Education Requirements: MCA or Bachelor's degree in computer science or equivalent from Premiere Technology Institution (ex. IIT)

Experience Requirements:

3-5 Years of Experience Required

Skills and Expertise:

Min. 3 years of experience in testing

Solid programming skills and grasp of OOPS concepts preferably in Java

Experience working with NoSQL and non relational databases

Experience in maintaining CI/CD pipeline and final software delivery in production environments (AWS) Expertise in API test automation using frameworks such as Rest assured

Comfortable with working in Linux systems

Prior experience in preparing test artifacts such as reports, test cases etc

Experience working BDD style (Cucumber preferred)

Prior experience in security is a plus

Excellent verbal and written communication skills.

Ability to work well in a challenging and fast paced environment

Must have strong analytical and reasoning skills

Should be able to understand the core business and correlate with features to be developed

Passionate in current and new trends in the world of software testing

Role and Responsibilities:

Requirement analysis and preparation of the test plans.

Conduct QA of the application builds received from the dev team. The testing would include the specific module as well as the system integration.

Raise and track Jira tickets to closure. Promote builds to UAT, Staging and ultimately to production.

Work with the product management team on the acceptance testing during the closed beta / internal testing phase.

Monitor the health and performance of the application after release to the production environment. Work with other stakeholders to increase the rollout %.

Develop test frameworks for API and frontend testing

Learn and implement new technologies to continually improve product quality

About Company

Our client is a community-based marketplace for global wellness entrepreneurs (both in services and products) and consumers. They provide platform and technology to enable sustainable & holistic wellness professionals to be successful. For the consumers, they create health awareness through our enriching content and help them reach their health goals through our world-class Experts, tools, programs and products.

About the role:

As a Performance Marketing Executive, you will devise strategies and empower the company to drive usage, delight customers work towards customer acquisition and retention and grow them. Your goal will be to effectively position and promote the company across channels and drive ambitious goals of achieving a good scale of acquisitions at sustainable costs for them.

Roles & responsilibilities:

• Creating & executing effective convertible performance marketing campaigns.
• Managing budget & campaigns across all digital platforms to drive the desired return on investment.
• Scale and manage CPM and CPI campaigns across multiple channels like Google, Facebook, and affiliates.
• Plan and manage paid social media campaigns and assist content and brand teams.
• Working closely with management to discuss conversion improvement strategies, feedback & results.
• Analyzing sales funnels, trends & understanding customer behaviour.
• Research & implement marketing tools to boost our promotional efforts
• Reporting on marketing KPIs like leads, conversion rates, website traffic, ROAS, social media engagement, etc.

Requirements:

• 1-3 years of experience who has a deep understanding of all facets of content marketing.
• Experience in creating & executing successful campaigns on Facebook, Instagram & Google Adwords.
• You are a highly goal-oriented individual with good communication skills.
• Experienced in other ad platforms like Quora Ads, Reddit Ads, and others.
• Highly analytical with expertise in setting up, running, and reporting on experiments, and always sharing insights rather than just data.
• Expertise with Firebase, GTM, and Google Analytics.
• Experience in generating leads and achieving long-term sustainable growth.
• Experience in working with creative teams to give constructive feedback for performance marketing.
• A strong portfolio to demonstrate your skillset

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).

Calculating taxes and submitting tax returns to comply with the law

Auditing financial documents to ensure they are accurate and maintaining the confidentiality of the financial data

knowledge of GST

Role Overview:

We are seeking a highly skilled and motivated Data Scientist to join our growing team. The ideal candidate will be responsible for developing and deploying machine learning models from scratch to production level, focusing on building robust data-driven products. You will work closely with software engineers, product managers, and other stakeholders to ensure our AI-driven solutions meet the needs of our users and align with the company's strategic goals.

Key Responsibilities:

• Develop, implement, and optimize machine learning models and algorithms to support product development.
• Work on the end-to-end lifecycle of data science projects, including data collection, preprocessing, model training, evaluation, and deployment.
• Collaborate with cross-functional teams to define data requirements and product taxonomy.
• Design and build scalable data pipelines and systems to support real-time data processing and analysis.
• Ensure the accuracy and quality of data used for modeling and analytics.
• Monitor and evaluate the performance of deployed models, making necessary adjustments to maintain optimal results.
• Implement best practices for data governance, privacy, and security.
• Document processes, methodologies, and technical solutions to maintain transparency and reproducibility.

Qualifications:

• Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or a related field.
• 5+ years of experience in data science, machine learning, or a related field, with a track record of developing and deploying products from scratch to production.
• Strong programming skills in Python and experience with data analysis and machine learning libraries (e.g., Pandas, NumPy, TensorFlow, PyTorch).
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker).
• Proficiency in building and optimizing data pipelines, ETL processes, and data storage solutions.
• Hands-on experience with data visualization tools and techniques.
• Strong understanding of statistics, data analysis, and machine learning concepts.
• Excellent problem-solving skills and attention to detail.
• Ability to work collaboratively in a fast-paced, dynamic environment.

Preferred Qualifications:

• Knowledge of microservices architecture and RESTful APIs.
• Familiarity with Agile development methodologies.
• Experience in building taxonomy for data products.
• Strong communication skills and the ability to explain complex technical concepts to non-technical stakeholders.

Responsibilities :

- Develop server side applications in C++

- Contribute in analysis based on requirements. Analysis can be in the form of research and producing Proof of Concepts.

- Produce documents and specifications wherever required.

- Work collaboratively with other developers and QA engineers to deliver the solutions.

• Collaborate with a team of developers and designers to create a web application run on multiple platforms
• Create reusable, effective, and scalable JavaScript code
• Design the data and presentation layer of the web application’s front-end
• Use additional JavaScript libraries such as Redux to manage the web application’s state, derive computed data from the state of the system, and make asynchronous API calls

• English language proficiency
• 2+ years of professional experience in Native React
• Highly proficient in rendering components with Native APIs
• Highly proficient in JavaScript, modern JavaScript, HTML, 
• Highly proficient in one or more libraries (e.g. Redux, React Router, etc) for state managing and routing in addition to React.