About the Role:
•
•
• Interpret creative briefs to develop the right creatives for marketing campaigns
• for Shopsy, along with landing pages
•
•
•
• Edit videos and develop creative motion graphics for multiple platforms
•
•
•
• Design creatives for Shopsy Home Page, Category Page, CRM, Social, etc.
•
•
•
• Revise designs based on learnings from previous campaigns and communications
•
•
•
• Collaborate with copywriters and other internal and external stakeholders to create
• the right customer experience as well as deliver business results
•
•
•
• Ensure the final output is aesthetically good, engaging and explains the proposition
• to the end customer in the best possible way
•
•
•
• Drive creative innovation and trend storytelling via constant research on global
• graphic design, colour, typography & trends.
•
You are Responsible for:
Innovative and engaging design creations to aid Brand Marketing, CRM and Performance Marketing
To succeed in this role – you should
•
•
• Have a creative, collaborative, and innovative mindset and a go-getter attitude
•
Mandatory Skills
•
•
• Graphic/Brand Designing
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•
•
• Hands-on experience curating visuals, animations & editing videos (chroma removal, masking etc.)
•
•
•
• Proficient in Adobe software - Photoshop, Illustrator, After Effects. Proficiency in design principles (Typography,
• Composition, Scale, and Color Theory, amongst others) and working knowledge of how those principles work together.
•
•
•
• An online portfolio demonstrating strong visual and motion design skills and advertising experience across a range
• of media, including online, mobile or print, is required
•
•
•
• Attention to detail
•
Desirable Skills
1. Innovation
2. Design Thinking
3. Presentation Skills
Responsibilities
About the Role:
•
•
• Interpret creative briefs to develop the right creatives for marketing campaigns
• for Shopsy, along with landing pages
•
•
•
• Edit videos and develop creative motion graphics for multiple platforms
•
•
•
• Design creatives for Shopsy Home Page, Category Page, CRM, Social, etc.
•
•
•
• Revise designs based on learnings from previous campaigns and communications
•
•
•
• Collaborate with copywriters and other internal and external stakeholders to create
• the right customer experience as well as deliver business results
•
•
•
• Ensure the final output is aesthetically good, engaging and explains the proposition
• to the end customer in the best possible way
•
•
•
• Drive creative innovation and trend storytelling via constant research on global
• graphic design, colour, typography & trends.
•
You are Responsible for:
Innovative and engaging design creations to aid Brand Marketing, CRM and Performance Marketing
To succeed in this role – you should
•
•
• Have a creative, collaborative, and innovative mindset and a go-getter attitude
•
Mandatory Skills
•
•
• Graphic/Brand Designing
•
•
•
• Hands-on experience curating visuals, animations & editing videos (chroma removal, masking etc.)
•
•
•
• Proficient in Adobe software - Photoshop, Illustrator, After Effects. Proficiency in design principles (Typography,
• Composition, Scale, and Color Theory, amongst others) and working knowledge of how those principles work together.
•
•
•
• An online portfolio demonstrating strong visual and motion design skills and advertising experience across a range
• of media, including online, mobile or print, is required
•
•
•
• Attention to detail
•
Desirable Skills
1. Innovation
2. Design Thinking
3. Presentation Skills
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Job Description:
Deep Microsoft Azure product knowledge and understanding of product features.? Proven track record in designing, developing and implementing data modelling, at a conceptual, logical and physical level.? Experience with accountability for E2E Data Architecture and Lifecycle (including non-functional requirements and operations) management.? Understands industry recognised data modelling patterns and standards? Understands overall IT system design, in particular networking, authorization and authentication protocols, data security, disaster recovery.? Knowledge of the latest technologies to process large amount of data (Apache Spark; Databricks is a plus)? Experience in MDM, Metadata Management, Data Quality and Data Lineage tools.? Expertise in cloud security and identity best practices? A deep understanding of ETL and ELT tools and techniques? Exposure to other cloud solutions (Google, AWS) a plus.? Strong experience in architecting ?fit-for-purpose? and ?fit-for-use? complex solutions on the Microsoft Azure cloud stack [IaaS, PaaS and SaaS] ? Very strong hands-on experience in using Microsoft Azure services like Azure Data Factory, Data brick services (like processing streaming data using Spark clusters), usage of Blob containers, ESB, Event Grid, Azure SQL server, Cosmos DB, Azure functions, Analytics (like Power BI) is a mandatory requirement.? Excellent understanding of architecture patterns and best practices with proven innovative and leading-edge thinking to build cloud-ready systems (e.g., Domain Driven Architecture, multi-tenancy, building for resilience, scalability, performance, and federation, microservices etc.) ? Hands-on work experience on application platforms like .Net, Python, Java etc. preferred ? Understanding of big data platforms concepts and NoSQL technologies, and ability to map such? The candidate should have experience in modeling data for traditional structured data, as well as information design in Data Lake and NoSQL database engines. ? Fluent with modelling, development and project execution processes around star, snowflake, 3NF, and Data Vault approaches. ? Good experience in working with data using SQLs, Python and Scala in Microsoft based resources like Azure Synapse and Data Lake. ? Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Essential Skills:
Deep Microsoft Azure product knowledge and understanding of product features.? Proven track record in designing, developing and implementing data modelling, at a conceptual, logical and physical level.? Experience with accountability for E2E Data Architecture and Lifecycle (including non-functional requirements and operations) management.? Understands industry recognised data modelling patterns and standards? Understands overall IT system design, in particular networking, authorization and authentication protocols, data security, disaster recovery.? Knowledge of the latest technologies to process large amount of data (Apache Spark; Databricks is a plus)? Experience in MDM, Metadata Management, Data Quality and Data Lineage tools.? Expertise in cloud security and identity best practices? A deep understanding of ETL and ELT tools and techniques? Exposure to other cloud solutions (Google, AWS) a plus.? Strong experience in architecting ?fit-for-purpose? and ?fit-for-use? complex solutions on the Microsoft Azure cloud stack [IaaS, PaaS and SaaS] ? Very strong hands-on experience in using Microsoft Azure services like Azure Data Factory, Data brick services (like processing streaming data using Spark clusters), usage of Blob containers, ESB, Event Grid, Azure SQL server, Cosmos DB, Azure functions, Analytics (like Power BI) is a mandatory requirement.? Excellent understanding of architecture patterns and best practices with proven innovative and leading-edge thinking to build cloud-ready systems (e.g., Domain Driven Architecture, multi-tenancy, building for resilience, scalability, performance, and federation, microservices etc.) ? Hands-on work experience on application platforms like .Net, Python, Java etc. preferred ? Understanding of big data platforms concepts and NoSQL technologies, and ability to map such? The candidate should have experience in modeling data for traditional structured data, as well as information design in Data Lake and NoSQL database engines. ? Fluent with modelling, development and project execution processes around star, snowflake, 3NF, and Data Vault approaches. ? Good experience in working with data using SQLs, Python and Scala in Microsoft based resources like Azure Synapse and Data Lake. ? Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Desirabla Skills :
A great team player, with the ability to perfectly integrate and play a pivotal role in a team that includes also data scientists, data engineers and data analysts? Able to appreciate short term vs. long term goals and take both tactical and strategic decisions? Great communication skills, ability to communicate complex technical concepts to a non-technical audience? Strong organizational skills, the ideal candidate has the ability to work in a fast-paced environment and has the ability to quickly adapt to changing priorities? Stays on top of the latest trends and develops expertise in emerging cloud technologies. Works well as a technical leader and individual contributor.? Build processes supporting data transformation, data structures, metadata, dependency, and workload management. ? Guide the development of an Agile data development experience, when required using DW automation tools. ? Assist the project team in planning and execution to achieve daily and sprint goals. ? Articulate documentation of project artefacts and deliverables. ? Identifies and communicates risks clearly to the Product owner and the team. ? Education of customer on how the technology recommendation/solution planned will fulfil the customer expressed needs
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Job Description:
1. Design, build, and optimize robust CI/CD pipelines for efficient code integration, automated testing, and deployment of applications.2. Implement and manage advanced deployment strategies for monorepo environments, enabling efficient multi-application deploys from a single codebase.3. Automate the creation and standardization of deployment configurations and project setups using templating and automation best practices (cookie-cutter style automation).4. Ensure smooth, repeatable, and reliable deployments across various environments, including staging and production.5. Automate release orchestration and implement strategies for controlled rollouts and rollbacks.
Essential Skills:
1. Design, build, and optimize robust CI/CD pipelines for efficient code integration, automated testing, and deployment of applications.2. Implement and manage advanced deployment strategies for monorepo environments, enabling efficient multi-application deploys from a single codebase.3. Automate the creation and standardization of deployment configurations and project setups using templating and automation best practices (cookie-cutter style automation).4. Ensure smooth, repeatable, and reliable deployments across various environments, including staging and production.5. Automate release orchestration and implement strategies for controlled rollouts and rollbacks.
Desirable Skills :
1. Demonstrated strong analytical and problem-solving abilities focused on infrastructure and operational challenges.2. Excellent collaboration and communication skills, with the ability to articulate complex technical concepts clearly and concisely to diverse audiences.3. Proactive, self-motivated, and able to work effectively in a fast-paced, iterative environment.
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Job Description:
8-10 years of hands-on, working expereince with TypeScript and React8-10 years using testing libraries like Jest, React Testing Libraries, Enzyme etc.8-10 years of experience with responsive UI design and development.8-10 years of experience in writing clean, high quality, high performing, scalable code5+ years of experience in whole web stack, including protocols and web server optimization techniques.5+ experience with CI/CD6-8 years of hands-on, working expereince with TypeScript and React6-8 years using testing libraries like Jest, React Testing Libraries, Enzyme etc.6-8 years of experience with responsive UI design and development.6-8 years of experience in writing clean, high quality, high performing, scalable code5+ years of experience in whole web stack, including protocols and web server optimization techniques.5+ experience with CI/CD
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
• Collect, analyze, and interpret HR data to support decision-making and strategic planning.
• Generate regular reports on employee headcount, attrition, engagement, performance, and other HR metrics.
• Work closely with the HR Business Partner and line managers to track and monitor workforce data.
• Assist in workforce planning and talent analytics.
• Manage Excel-based trackers and dashboards for HR operations and audits.
• Support internal audits, compliance checks, and data accuracy reviews.
• Collaborate with cross-functional teams for HR-related projects and initiatives.
________________________________________
Required Skills:
• Advanced Excel skills – VLOOKUP, Pivot Tables, Dashboards, Data Cleaning & Validation.
• Strong analytical thinking and attention to detail.
• Excellent communication and coordination skills.
• Ability to handle sensitive information with confidentiality.
• Prior experience in HR operations, data management, or analytics.
________________________________________
Qualifications:
• Bachelor’s degree in Human Resources, Business Administration, Statistics, or a related field.
• 2+ years of experience in HR analysis, HR operations, or MIS roles
Responsibilities
• Collect, analyze, and interpret HR data to support decision-making and strategic planning.
• Generate regular reports on employee headcount, attrition, engagement, performance, and other HR metrics.
• Work closely with the HR Business Partner and line managers to track and monitor workforce data.
• Assist in workforce planning and talent analytics.
• Manage Excel-based trackers and dashboards for HR operations and audits.
• Support internal audits, compliance checks, and data accuracy reviews.
• Collaborate with cross-functional teams for HR-related projects and initiatives.
________________________________________
Required Skills:
• Advanced Excel skills – VLOOKUP, Pivot Tables, Dashboards, Data Cleaning & Validation.
• Strong analytical thinking and attention to detail.
• Excellent communication and coordination skills.
• Ability to handle sensitive information with confidentiality.
• Prior experience in HR operations, data management, or analytics.
________________________________________
Qualifications:
• Bachelor’s degree in Human Resources, Business Administration, Statistics, or a related field.
• 2+ years of experience in HR analysis, HR operations, or MIS roles
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Key Responsibilities:
• Develop and deploy machine learning models for business-critical use cases across functions like supply chain, customer analytics, pricing, etc.
• Apply statistical modeling, predictive modeling, and advanced analytics to identify key trends and generate actionable insights.
• Conduct deep data analysis and exploratory research to solve complex business problems.
• Use data mining techniques to extract meaningful patterns from large structured and unstructured datasets.
• Perform regression testing and validation to ensure model stability and reliability.
• Collaborate with cross-functional teams to translate business needs into data-driven solutions.
• Build data visualizations and dashboards to communicate findings to stakeholders.
________________________________________
Required Skills:
• Strong knowledge of Python and relevant data science libraries (NumPy, Pandas, Scikit-learn, etc.)
• Expertise in machine learning algorithms (classification, regression, clustering, etc.)
• Proficient in statistical analysis and predictive analytics techniques
• Hands-on experience with data mining and data cleaning techniques
• Working knowledge of SQL and data querying
• Familiarity with model evaluation metrics and A/B testing
• Excellent analytical thinking, problem-solving skills, and attention to detail
________________________________________
Qualifications:
• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
• 2+ years of experience in a data science, analytics, or modeling role.
Responsibilities
Key Responsibilities:
• Develop and deploy machine learning models for business-critical use cases across functions like supply chain, customer analytics, pricing, etc.
• Apply statistical modeling, predictive modeling, and advanced analytics to identify key trends and generate actionable insights.
• Conduct deep data analysis and exploratory research to solve complex business problems.
• Use data mining techniques to extract meaningful patterns from large structured and unstructured datasets.
• Perform regression testing and validation to ensure model stability and reliability.
• Collaborate with cross-functional teams to translate business needs into data-driven solutions.
• Build data visualizations and dashboards to communicate findings to stakeholders.
________________________________________
Required Skills:
• Strong knowledge of Python and relevant data science libraries (NumPy, Pandas, Scikit-learn, etc.)
• Expertise in machine learning algorithms (classification, regression, clustering, etc.)
• Proficient in statistical analysis and predictive analytics techniques
• Hands-on experience with data mining and data cleaning techniques
• Working knowledge of SQL and data querying
• Familiarity with model evaluation metrics and A/B testing
• Excellent analytical thinking, problem-solving skills, and attention to detail
________________________________________
Qualifications:
• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
• 2+ years of experience in a data science, analytics, or modeling role.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
