
E-COMMERCE MANAGER
Responsibilities
● Liaising and influencing cross-functionally within the senior management team, ensuring all stakeholders are engaged in E-Commerce activity, projects and strategy, and knowledge, assistance, and insight are acquired where needed.
● Managing the marketplaces, namely Amazon, and Flipkart and planning the presence of the organisation - in terms of the strategy, management, forecasts and results. These include short- and long-term objectives, customer metrics and overall performance.
● Oversee the day-to-day marketplace E-commerce operations, customer service, updates, post listings, promotions, merchandising, maintenance and performance.
● Develop budgets for all phases of marketplace E-commerce and execute marketplace promotions to maximise growth.
● Manage relationships with digital agencies and external third parties in the marketplace effectively to drive growth
● Develop and implement the assortment and inventory plan to match the sales plan. Work with other divisions to maximise inventory & provide ongoing strategic insights and recommendations for new marketplaces channels with growth plans.
● Collaborate with marketing, operations, finance, sales & customer service to drive the success of the eCommerce business.
● Improve the e-commerce experience and feature sets by evaluating new payment solutions, customer communication tools, mobile solutions, merchandising tools and other enhancements.
● Actively advocate for e-commerce business across all levels of the organisation.
● Working closely with analytics, product and category managers will be crucial to optimise and scale on marketplaces
Qualifications
● Experience of 1-2 years.
● Preference for talent with experience in the D2C
● Strong knowledge of the marketplace.
● Must possess knowledge of the supply chain process, and commercials to improve the user journey by displaying relevant products on the website).
● Good team management and leadership skills.
● Excellent written and verbal communication skills.
● Should have a good emotional quotient.
● Should be good in data and analytical skills.

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Experience : 3+ Years
Location : Bangalore (Work From Office)
Notice Period : Immediate to 15 Days (Strict)
🚀 About the Role :
We are looking for a Backend Developer with strong Golang expertise to build scalable, high-performance systems. You will play a key role in designing microservices, handling concurrent workloads, and developing robust backend architectures for production-scale applications.
🔥 Mandatory Skills :
Strong hands-on experience in Golang, Microservices Architecture, REST APIs, Concurrency (goroutines & channels), PostgreSQL/MySQL, Redis, Messaging Systems (Kafka/RabbitMQ/SQS), AWS/GCP, Docker & Kubernetes, and CI/CD pipelines.
🛠️ Key Responsibilities :
- Design, develop, and maintain scalable backend services using Golang.
- Build high-performance REST APIs and microservices.
- Develop concurrent and distributed systems using goroutines and channels.
- Implement event-driven and asynchronous architectures.
- Optimize system performance, latency, and database efficiency.
- Integrate messaging systems and caching layers for scalability.
- Collaborate with cross-functional teams for end-to-end delivery.
- Ensure high code quality, testing, and system reliability.
- Monitor, debug, and enhance production systems.
Required Skills & Qualifications :
- Strong hands-on experience in Golang (must-have).
- Solid understanding of Concurrency in Go (goroutines, channels, worker pools).
- Experience with Microservices Architecture.
- Strong knowledge of RESTful API development.
- Proficiency in Databases : PostgreSQL / MySQL / MongoDB.
- Hands-on experience with Redis (caching).
- Experience with Messaging Systems: Kafka / RabbitMQ / SQS.
- Hands-on experience with AWS or GCP.
- Experience with Docker & Kubernetes.
- Familiarity with CI/CD pipelines (GitHub Actions, Jenkins, etc.).
- Strong understanding of Data Structures, Algorithms, and System Design.
Good to Have :
- Experience with gRPC-based microservices.
- Familiarity with monitoring tools like Prometheus, Grafana.
- Exposure to high-scale distributed systems.
- Experience with event-driven architectures.
- Knowledge of security practices (JWT, OAuth2, RBAC).
What We’re Looking For :
- Strong problem-solving and debugging skills.
- Ownership mindset with end-to-end feature delivery.
- Ability to write clean, efficient, and maintainable code.
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You can also register yourself on the below platform to proceed further :
Publicis Sapient Overview:
The Senior Associate People Senior Associate L1 in Data Engineering, you will translate client requirements into technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution
.
Job Summary:
As Senior Associate L1 in Data Engineering, you will do technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution
The role requires a hands-on technologist who has strong programming background like Java / Scala / Python, should have experience in Data Ingestion, Integration and data Wrangling, Computation, Analytics pipelines and exposure to Hadoop ecosystem components. Having hands-on knowledge on at least one of AWS, GCP, Azure cloud platforms will be preferable.
Role & Responsibilities:
Job Title: Senior Associate L1 – Data Engineering
Your role is focused on Design, Development and delivery of solutions involving:
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• Data Storage and Computation Frameworks, Performance Optimizations
• Analytics & Visualizations
• Infrastructure & Cloud Computing
• Data Management Platforms
• Build functionality for data ingestion from multiple heterogeneous sources in batch & real-time
• Build functionality for data analytics, search and aggregation
Experience Guidelines:
Mandatory Experience and Competencies:
# Competency
1.Overall 3.5+ years of IT experience with 1.5+ years in Data related technologies
2.Minimum 1.5 years of experience in Big Data technologies
3.Hands-on experience with the Hadoop stack – HDFS, sqoop, kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Storm, hive, oozie, airflow and other components required in building end to end data pipeline. Working knowledge on real-time data pipelines is added advantage.
4.Strong experience in at least of the programming language Java, Scala, Python. Java preferable
5.Hands-on working knowledge of NoSQL and MPP data platforms like Hbase, MongoDb, Cassandra, AWS Redshift, Azure SQLDW, GCP BigQuery etc
Preferred Experience and Knowledge (Good to Have):
# Competency
1.Good knowledge of traditional ETL tools (Informatica, Talend, etc) and database technologies (Oracle, MySQL, SQL Server, Postgres) with hands on experience
2.Knowledge on data governance processes (security, lineage, catalog) and tools like Collibra, Alation etc
3.Knowledge on distributed messaging frameworks like ActiveMQ / RabbiMQ / Solace, search & indexing and Micro services architectures
4.Performance tuning and optimization of data pipelines
5.CI/CD – Infra provisioning on cloud, auto build & deployment pipelines, code quality
6.Working knowledge with data platform related services on at least 1 cloud platform, IAM and data security
7.Cloud data specialty and other related Big data technology certifications
Job Title: Senior Associate L1 – Data Engineering
Personal Attributes:
• Strong written and verbal communication skills
• Articulation skills
• Good team player
• Self-starter who requires minimal oversight
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Founded with the mission to radically accelerate enterprises business transformation, JIFFY.ai’s intelligent platform empowers business users to adapt to change and innovate faster. We strive to create applications with delightful user experiences backed up by automated middle and back office capabilities. The platform employs the cognitive capabilities of no-code-based software development, Intelligent Document Processing, Natural Language Processing, RPA, Machine Learning, intuitive user interfaces and AI along with an overarching human-in-the-loop approach to power the next generation of enterprise applications. Explore further on www.jiffy.ai.
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Work Experience and Skills required:
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What are the benefits and perks of working at JIFFY.ai?
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- Programmes tailored for our people - People Development programmes, Appreciation programmes, Leadership & Mentorship programmes, Communication Programmes, Engagement programmes (JoyofJIFFYians)
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Job Responsibilities:
Prior experience in deploying scalable infrastructure on the cloud.
Architect, design and develop web applications using Restful Services on Node.js.
Proficient understanding of code versioning tools, such as Git.
Lead code reviews to drive teams to the highest standards for Node.js web apps.
Strong background in algorithms, data structures, database design.
Experience in Node, Redis.
Experience in cloud infrastructure like google app engine/AWS/Heroku etc.
Design and create efficient RESTful endpoints for both internal and public consumption.
Participate in regular bug fixing Intimate knowledge of Git, Github, AWS, CDNs.
Experience with creating RESTful endpoints using the REST framework.
Developing high performing REST APIs for application functionality.
Necessary Requirement:
Min -2 years of Experience with Node.js
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