
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.

About Swiggy
About
About the Company:
India's #1 Customer Experience Platform For Direct Commerce Empowering over 2.5 Lakh eCommerce Sellers.
Shiprocket is India's leading e-commerce enablement platform, revolutionizing the way businesses handle logistics and fulfillment. Founded in 2012, the company has evolved into a comprehensive technology-driven platform that empowers over 250,000 sellers who generate more than $2.5B in annual GMV. Shiprocket provides end-to-end solutions including shipping, fulfillment, and technology integration services, making it easier for businesses of all sizes to manage their e-commerce operations efficiently.
About the Founders:
Shiprocket was co-founded by Saahil Goel and Gautam Kapoor. Saahil Goel, serving as the CEO, brings extensive expertise with his MBA and MS degrees from the University of Pittsburgh. Under their leadership, the company has transformed from a small business with big dreams into a unicorn, driven by their vision to democratize e-commerce for entrepreneurs across India.
About Funding:
Shiprocket's funding journey reflects its remarkable growth story. The company has raised over $357 million across 14 funding rounds 4. A significant milestone was achieved in August 2022 when it attained unicorn status with a valuation of $1.3 billion. The company continues to attract investor confidence, with its most recent funding round of $26 million in December 2024, demonstrating strong market faith in its business model and growth potential.
About Milestones/Achievements:
Shiprocket has achieved several remarkable milestones in its journey:
- Reached unicorn status in 2022 with a $1.3 billion valuation 5
- Demonstrated strong financial growth with a 21% increase in operating revenue for FY24, reaching ₹1,316 crore 6
- Successfully expanded its service portfolio to include Shiprocket Fulfillment, Shiprocket Capital, and Shiprocket Engage 360
- Built a network serving 250,000+ active sellers across India 1
- Achieved operational profitability in the first two quarters of FY25 7
- Established itself as a comprehensive e-commerce enablement platform with multiple product offerings and technology integrations
Candid answers by the company
Shiprocket is one of India's largest data-driven logistics aggregation platforms. They provide end-to-end logistics and fulfillment solutions for e-commerce businesses and D2C brands, helping them manage their shipping and fulfillment operations efficiently.
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Location: Bangalore
Experience: 2–5 years
Type: Full-time | On-site
Open Roles: 2
Start: Immediate
Why this role exists
Most systems work at a low scale.
Very few survive real production load, complex workflows, and enterprise edge cases.
We are building a platform that must:
- Scale from 500K → 20M+ interactions/month
- Handle complex insurance workflows reliably
- Become easier to deploy as it grows, not harder
This role exists to build the backend foundation that makes this possible.
What you’ll do
You will not just write services.
You will design and own core platform systems.
1. Scale the platform without breaking architecture
- Scale from 50K → 2M+ interactions/month
- Ensure:
- High availability
- Low latency
- Fault tolerance
- Avoid large rewrites — build systems that evolve cleanly
2. Build the workflow automation (WA) engine
- Design a flexible system with:
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- Cohorts
- Dynamic workflows
- Ensure workflows:
- Handle edge cases reliably
- Can be configured easily
- Move from:
- Hardcoded flows → configurable execution engine
3. Build the insurance-specific data layer
- Design data models for:
- Policy states
- Claim workflows
- Consent tracking
- Ensure the system works across:
- Multiple insurers
- Multiple use cases
- Build a platform-first data layer, not use-case-specific hacks
4. Make deployment and setup simple
- Ensure workflows and data models are:
- Easy to configure
- Easy to launch
- Reduce friction for:
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- Deployment teams
5. Create a compounding data advantage
- Build a data layer that:
- Improves with every deployment
- Captures structured signals
- Ensure data becomes a long-term edge, not just storage
6. Own production reliability
- Participate in on-call rotation across 3 engineers
- Ensure:
- Incidents are handled quickly
- Root causes are fixed permanently
- Build systems where reliability is shared, not individual
What success looks like
- Platform scales to 2M+ interactions/month smoothly
- Workflow engine supports complex, dynamic use cases
- Data layer enables fast deployment across accounts
- Edge cases are handled without constant firefighting
- System becomes easier to use as it grows
- Production issues are rare and predictable
Who you are
- You have 2-5 years of backend engineering experience
- You have built:
- Scalable systems
- Distributed services
- You think in:
- Systems
- Data models
- Trade-offs
- You are comfortable owning:
- Architecture
- Production systems
What will make you stand out
- Experience building:
- Workflow engines
- State machines
- Data-heavy platforms
- Strong understanding of:
- System design
- Distributed systems
- Failure handling
- Experience working in:
- High-scale production environments
Why join
- You will build the core backend of an AI platform
- Your work directly impacts:
- Scale
- Reliability
- Product capability
- You will design systems that move from:
- Use-case specific → platform-level infrastructure
What this role is not
- Not just API development
- Not limited to feature-level work
- Not disconnected from production realities
What this role is
- A system architect
- A builder of scalable platforms
- A driver of long-term technical advantage
One question to self-evaluate
Can you design backend systems that scale, handle edge cases, and become easier to use as they grow?
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Essential Requirements (must have):
• Bachelor's degree preferable in Engineering.
• Solid 5+ experience with AWS, DevOps, and related technologies
Skills Required:
Cloud Performance Engineering
• Performance scaling in a Micro-Services environment
• Horizontal scaling architecture
• Containerization (such as Dockers) & Deployment
• Container Orchestration (such as Kubernetes) & Scaling
DevOps Automation
• End to end release automation.
• Solid Experience in DevOps tools like GIT, Jenkins, Docker, Kubernetes, Terraform, Ansible, CFN etc.
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• Infrastructure Sizing
• Infra Cost Optimization
• Infra security
• Infra monitoring & site reliability.
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• Responsible for creating software deployment strategies that are essential for the successful
deployment of software in the work environment and provide stable environment for delivery of
quality.
• The DevOps Lead Engineer is accountable for designing, building, configuring, and optimizing
automation systems that help to execute business web and data infrastructure platforms.
• The DevOps Lead Engineer is involved in creating technology infrastructure, automation tools,
and maintaining configuration management.
• The Lead DevOps Engineer oversees and leads the activities of the DevOps team. They are
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We are looking for an experienced Lead Java Developer to join our team and take a leadership role in driving the design, development, and delivery of highquality software solutions. A Senior Java Lead Developer will be responsible for leading a team of developers, providing technical guidance, and ensuring the successful execution of projects. Should have a strong background in Java development, excellent leadership skills, and a track record of delivering complex software projects on time. System Architect: Should have Architect the system before for a large scale solution Understanding of various java design pattern and use the pattern which is more appropriate Understanding of various micro-service design pattern and use the pattern which is more appropriate Has worked on DDD with CQRS Has designed solution for multi tenant application. Technical skills: Used latest version of java and good understanding of it Skilled in spring boot, spring MVC Basic Skill: 10+ years of experience in development. Good communication skills in English. Testing: Skilled in using Junit Security: Good understanding of application security Understanding of DDOS and best practice for that Good understanding of rate limiting API Good understanding about spring security or any thing better Database: Great understanding of MySQL Experience in extensively using hibernate Debugging: Understanding about Logging Skilled in debugging production issue
Job Details:
1) Work from Home (Full Time )
2) Flexible work hours & location
3) Live online (1-0-1) classes
4) Passion for Teaching Kids aged 6-18
5) Laptop/PC with Microphone and Camera with Stable Internet Connectivity
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- Debug existing software components, fix issues, and avoid regressions
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- Familiar with Test Drive Development.
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Join the Insurtech revolution with PasarPolis! We're looking for exceptional talents to come help us leverage technology to disrupt the insurance industry. With the largest insurtech funding in the region and 3 Indonesian unicorns as part of our investors roster (Gojek, Tokopedia & Traveloka) we are disrupting the insurance industry by:
1. Creating easy to understand insurance products
2. Redefining how and where insurance products are purchased
3. Enabling simple and hassle-free claim process
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• Development of backend services which power our products and taking responsibility for scalability and reliability of them.
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• Bachelor’s Degree in Computer Science or equivalent
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• Exposure to developing apps using NodeJS, GoLang, Ruby on Rails, JavaScript, MySQL, MongoDB
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• Familiar with Agile Software Development and SCRUM.
• Familiar with Cloud Computing (AWS / Google Cloud).
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• Python / GoLang / Ruby on Rails
• MySQL
• REST API

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