Data Engineer

Experience

Role

Location

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About Trademo

Trademo is a Global Supply Chain Intelligence SaaS Company, headquartered in Palo-Alto, CA. Trademo collects public and private data on global trade transactions, sanctioned parties, trade tariffs, ESG and other events using its proprietary algorithms. Trademo analyzes and performs advanced data processing on billions of data points using technologies like Graph databases, NLP and Machine Learning to build end- to-end visibility on Global Supply Chains. Trademo's vision is to build a single truth on global supply chains to help large and small businesses - discover new commerce opportunities, ensure compliance with trade regulations and build operational resilience. Trademo last closed its $12.5 mn Seed Round from marquee Silicon Valley VCs.

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Trademo has been founded by Shalabh Singhal who is a third-time tech entrepreneur. Shalabh last co-founded ZipLoan. ZipLoan is a leading fintech lending startup in India. He earlier founded Credence, a Data-driven Digital Marketing, CRM Product and Sales Solutions company.

Shalabh is an Alumni of Goldman Sachs, IIT BHU, CFA Institute USA and Stanford GSB SEED.

What you will be doing here:

Build the data pipeline for global SAAS products from scratch for Businesses

Work on exciting data exploration and analytics projects, sometimes straddling the space of data science too Leverage bleeding-edge technology to work with large volumes of complex data

Be hands-on in development.

Preferred exposure to distributed computing frameworks like Apache Spark

Collaborate with teams and share knowledge via tech talks and promote tech and engineering best practices within the team.

Technical Skills Required:

-B-Tech, M-Tech in Computer Science from IIT or equivalent Tier 1 Colleges

-2+ years of relevant work experience

-Ability to efficiently work with high variety and volume of data

-Strong RDBMS experience

-Preferred exposure to NoSQL databases like ElasticSearch, MongoDB

-Basic understanding of working within AWS infrastructure - EC2, S3, AWS console etc.

-Exposure to data engineering - Data warehouse, ETL, SQL, and NoSQL databases

-Knack of data exploration and being able to serve business use cases smartly with data

-Willingness to learn new techniques and technologies to derive intelligence from data, such as Machine Learning and NLP (Natural Language Processing).

-Sound understanding of Algorithms and Data structures

-Ability to write well-crafted, readable, testable, maintainable and modular code.

Soft Skills Required:

-A hard-working, humble disposition.

-Desire to make a strong impact on the lives of millions through your work.

-Capacity to communicate well with stakeholders as well as team members and be an effective interface between the Engineering and Product/Business team

-A quick thinker who can adapt to a fast-paced startup environment and work with minimum supervision.