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Job Description: Data Engineer
Location: Ahmedabad
Experience: 5 to 6 years
Employment Type: Full-Time
We are looking for a highly motivated and experienced Data Engineer to join our team. As a Data Engineer, you will play a critical role in designing, building, and optimizing data pipelines that ensure the availability, reliability, and performance of our data infrastructure. You will collaborate closely with data scientists, analysts, and cross-functional teams to provide timely and efficient data solutions.
Responsibilities
● Design and optimize data pipelines for various data sources
● Design and implement efficient data storage and retrieval mechanisms
● Develop data modelling solutions and data validation mechanisms
● Troubleshoot data-related issues and recommend process improvements
● Collaborate with data scientists and stakeholders to provide data-driven insights and solutions
● Coach and mentor junior data engineers in the team
Skills Required:
● Minimum 4 years of experience in data engineering or related field
● Proficient in designing and optimizing data pipelines and data modeling
● Strong programming expertise in Python
● Hands-on experience with big data technologies such as Hadoop, Spark, and Hive
● Extensive experience with cloud data services such as AWS, Azure, and GCP
● Advanced knowledge of database technologies like SQL, NoSQL, and data warehousing
● Knowledge of distributed computing and storage systems
● Familiarity with DevOps practices and power automate and Microsoft Fabric will be an added advantage
● Strong analytical and problem-solving skills with outstanding communication and collaboration abilities
Qualifications
- Bachelor's degree in Computer Science, Data Science, or a Computer related field
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Job Title: MERN Stack Developer (5+ Years Experience)
Position: MERN Stack Developer
Location: Ahmedabad (On-Site)
Onshore Opportunity
Experience: 5 to 7
Joining: Immediate Joiners Preferred
Employment Type: Full-Time
About the Role
We are seeking a talented and experienced MERN Stack Developer to join our on-site team. As a key member of our development team, you will be responsible for building and maintaining high-performance web applications using MongoDB, Express.js, React.js, and Node.js.
Key Responsibilities
- Develop and maintain scalable, responsive web applications using the MERN stack
- Write clean, efficient, and well-documented code
- Integrate APIs and third-party services
- Work closely with UI/UX designers, QA, and product teams
- Optimize applications for maximum speed and scalability
- Perform code reviews and provide constructive feedback
- Debug and resolve technical issues and bugs
- Ensure cross-platform and cross-browser compatibility
Required Skills & Qualifications
- 5+ years of professional experience with the MERN stack
- Strong proficiency in JavaScript, ES6+, HTML5, and CSS3
- In-depth experience with React.js (including hooks, Redux, component lifecycle)
- Strong backend development skills using Node.js and Express.js
- Proficient in working with MongoDB, including aggregation, indexing, and schema design
- Experience with RESTful APIs and JSON
- Familiarity with Git and version control workflows
- Strong problem-solving and debugging skills
- Excellent communication and teamwork abilities
Must-Have Experience
- 5+ years working professionally with the MERN stack
- Has experience in a team lead role
- Expertise in JavaScript (ES6+), HTML5, CSS3
- Deep understanding of React.js (Hooks, Redux, lifecycle)
- Backend development with Node.js & Express.js
- Strong hands-on with MongoDB (schemas, indexing, aggregation)
- API integration, Git, version control, and debugging
Preferred Qualifications
- Experience with deployment on AWS, Heroku, or similar cloud platforms
- Familiarity with containerization tools like Docker
- Experience with testing frameworks such as Jest or Mocha
- Knowledge of agile methodologies
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
🚀 We Are Hiring: Data Engineer | 4+ Years Experience 🚀
Job description
🔍 Job Title: Data Engineer
📍 Location: Ahmedabad
🚀 Work Mode: On-Site Opportunity
📅 Experience: 4+ Years
🕒 Employment Type: Full-Time
⏱️ Availability : Immediate Joiner Preferred
Join Our Team as a Data Engineer
We are seeking a passionate and experienced Data Engineer to be a part of our dynamic and forward-thinking team in Ahmedabad. This is an exciting opportunity for someone who thrives on transforming raw data into powerful insights and building scalable, high-performance data infrastructure.
As a Data Engineer, you will work closely with data scientists, analysts, and cross-functional teams to design robust data pipelines, optimize data systems, and enable data-driven decision-making across the organization.
Your Key Responsibilities
Architect, build, and maintain scalable and reliable data pipelines from diverse data sources.
Design effective data storage, retrieval mechanisms, and data models to support analytics and business needs.
Implement data validation, transformation, and quality monitoring processes.
Collaborate with cross-functional teams to deliver impactful, data-driven solutions.
Proactively identify bottlenecks and optimize existing workflows and processes.
Provide guidance and mentorship to junior engineers in the team.
Skills & Expertise We’re Looking For
3+ years of hands-on experience in Data Engineering or related roles.
Strong expertise in Python and data pipeline design.
Experience working with Big Data tools like Hadoop, Spark, Hive.
Proficiency with SQL, NoSQL databases, and data warehousing solutions.
Solid experience in cloud platforms - Azure
Familiar with distributed computing, data modeling, and performance tuning.
Understanding of DevOps, Power Automate, and Microsoft Fabric is a plus.
Strong analytical thinking, collaboration skills, Excellent Communication Skill and the ability to work independently or as part of a team.
Qualifications
Bachelor’s degree in Computer Science, Data Science, or a related field.
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Building software to help e-commerce businesses sell better
Our company is dedicated to helping e-commerce merchants sell better through innovative software solutions. With a deep understanding of the e-commerce industry and a commitment to quality, we have developed a suite of products that improve the shopping experience for 100 million buyers worldwide every day.
Our passionate team of 15 is more than just a workforce; we're a family, growing together to better support our diverse range of over 25,000 global clients, from spirited startups to seasoned enterprises.
We've made our mark in the e-commerce world with our top-rated applications on the Shopify App Store, but our true pride lies in our inclusive, dynamic, and empathetic work culture. Here, every voice matters, every idea fuels growth, and every team member plays a crucial role in our collective success. Dive into the heart of our company ethos by exploring our culture book [https://cdn.starapps.studio/files/StarApps+Culture+Book.pdf] and see how we’re not just a company, but a community.
As the e-commerce landscape flourishes, we're not just keeping pace; we're setting the rhythm. We're on the lookout for individuals who are not just looking for a job, but a journey; a chance to make a real, heartfelt impact in this exciting industry. Be part of a journey that’s not just about growth, but about belonging, innovation, and shaping the future of e-commerce. Let's embark on this thrilling adventure together!
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Check out the video below for a sneak peek into the product!
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Shopflo is an enterprise technology company providing a specialized checkout infrastructure platform designed to boost conversion rates for direct-to-consumer (D2C) e-commerce brands. Founded in 2021, it focuses on enhancing the online buying experience through fast, customizable, and secure checkout pages that reduce cart abandonment.
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(1) There is ~70% drop off at checkout for most independent e-commerce retailer (outside of large marketplaces)
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