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.
Shubham Vishwakarma
Full Stack Developer - Averlon
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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Retailer business lines
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4. Formulate & execute ROI driven Marketing strategies for all aspects
5. Work closely with the Business, Product and Customer Delight Leaders
7. Define processes for the marketing team to ease and optimize intra and inter team
as well as external communications
Build the Marketing Vision
1. Be the voice of the users internally and the voice of brand externally
2. Stay on top of changing trends and strategic priorities through in-depth data
analysis to predict user behavior
3. Gain a deeper understanding of the market and the customer
4. Follow OKR framework religiously and manage implementation at all levels
Nurture the Culture
1. Sustain innovation and experimentation as part of the Growth process
2. Respect and value user-facing teams and their experience and try to learn as much
as possible from them
3. Impart data-driven decision making habits coupled with intuitive experimentation on
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4. Know when to pull the plug and switch to a new initiative as per the need
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