Business Development Executive

About Us:

Tradelab Technologies Pvt Ltd is not for those seeking comfort—we are for those hungry to make a mark in the trading and fintech industry. If you are looking for just another backend role, this isn’t it. We want risk-takers, relentless learners, and those who find joy in pushing their limits every day. If you thrive in high-stakes environments and have a deep passion for performance. driven backend systems, we want you.

What We Expect:

• We’re looking for a Backend Developer (Python) with a strong foundation in backend technologies and

a deep interest in scalable, low-latency systems.

• You should have 3–4 years of experience in Python-based development and be eager to solve complex

performance and scalability challenges in trading and fintech applications.

• You measure success by your own growth, not external validation.

• You thrive on challenges, not on perks or financial rewards.

• Taking calculated risks excites you—you’re here to build, break, and learn.

• You don’t clock in for a paycheck; you clock in to outperform yourself in a high-frequency trading

environment.

• You understand the stakes—milliseconds can make or break trades, and precision is everything.

What You Will Do:

• Develop and maintain scalable backend systems using Python.

• Design and implement REST APIs and socket-based communication.

• Optimize code for speed, performance, and reliability.

• Collaborate with frontend teams to integrate server-side logic.

• Work with RabbitMQ, Kafka, Redis, and Elasticsearch for robust backend design.

• Build fault-tolerant, multi-producer/consumer systems.

Must-Have Skills:

• 3–4 years of experience in Python and backend development.

• Strong understanding of REST APIs, sockets, and network protocols (TCP/UDP/HTTP).

• Experience with RabbitMQ/Kafka, SQL & NoSQL databases, Redis, and Elasticsearch.

• Bachelor’s degree in Computer Science or related field

Role & Responsibilities

Vendor Management & Negotiation: Manage vendor relationships, negotiate local rates to meet cost-per-unit targets, and ensure timely delivery of products.

Inventory Monitoring: Track stock levels, share daily reports on low inventory, and ensure minimum order quantities (MOQ) are met.

Purchase Order Coordination: Map/unmap products, raise POs with desired vendors, and monitor negative margins at product level.

Cross-functional Collaboration: Meet regularly with the Business Operations and Growth teams to align on stock availability, sales plans, and product launches.

Payment & Delivery Follow-up: Coordinate with Finance on vendor payments to avoid delays, and ensure smooth vehicle offloading at Distribution Centers (DC).

Vendor Sourcing: Identify and onboard alternate vendors to maintain product availability and address supply gaps.

Stock Management: Monitor put-away status of inventory, manage slow-moving stock, and support sales strategies for excess inventory.

Reporting & Analysis: Provide regular performance updates, including benchmarking new products, sales plans, and launch strategies.

• Handling Overall Pre - Post Sales Department.
• Coordinating with the departments.
• Customer query resolution.

• 4+ years exp with solid backend/engineering experience.
• Knowledge of data structures and an eye for architecture.
• Solid CS fundamentals, fluent in multi-threaded and asynchronous programming, a strong inclination for architecting at scale.
• Excellent technical design, problem-solving, debugging, and communication skills.
• Rapid prototyping worked on distributed systems at scale.
• Basic knowledge of SQL as well as NoSQL databases.
• Proficient in Golang, it's design, and concurrency patterns.

• Key responsibility is to design & develop a data pipeline for real-time data integration, processing, executing of the model (if required), and exposing output via MQ / API / No-SQL DB for consumption
• Provide technical expertise to design efficient data ingestion solutions to store & process unstructured data, such as Documents, audio, images, weblogs, etc
• Developing API services to provide data as a service
• Prototyping Solutions for complex data processing problems using AWS cloud-native solutions
• Implementing automated Audit & Quality assurance Checks in Data Pipeline
• Document & maintain data lineage from various sources to enable data governance
• Coordination with BIU, IT, and other stakeholders to provide best-in-class data pipeline solutions, exposing data via APIs, loading in down streams, No-SQL Databases, etc

Skills

• Programming experience using Python & SQL
• Extensive working experience in Data Engineering projects, using AWS Kinesys,  AWS S3, DynamoDB, EMR, Lambda, Athena, etc for event processing
• Experience & expertise in implementing complex data pipeline
• Strong Familiarity with AWS Toolset for Storage & Processing. Able to recommend the right tools/solutions available to address specific data processing problems
• Hands-on experience in Unstructured (Audio, Image, Documents, Weblogs, etc) Data processing.
• Good analytical skills with the ability to synthesize data to design and deliver meaningful information
• Know-how on any No-SQL DB (DynamoDB, MongoDB, CosmosDB, etc) will be an advantage.
• Ability to understand business functionality, processes, and flows
• Good combination of technical and interpersonal skills with strong written and verbal communication; detail-oriented with the ability to work independently

Functional knowledge

• Real-time Event Processing
• Data Governance & Quality assurance
• Containerized deployment
• Linux
• Unstructured Data Processing
• AWS Toolsets for Storage & Processing
• Data Security

• As a Manager- Business Analysis- you would be working on key problem statements to achieve given business objectives.
• As a Manager- Analyst, you will build the framework for the company’s top metrics related to sales, conversion funnels, inventory related, customer experience metrics and other input/output parameters, seller/ brand-related metrics to monitor business performance.
• Work with internal clients and provide timely solutions to both new initiatives and business as usual requests.
• Ability to conceptualize the best metrics for various problem statements to help business stakeholders achieve their objectives.

Must Haves:

• 2 to 4 years of experience in analytics.
• Should be great at SQL and Excel.
• Should be conversant with R or Python.
• Should have experience in analytics tools such as Tableau, QlikSense, PowerBI, Periscope.
• A First-principles thinker Has the ability to get to the root of problems and come up with logical, practical, and effective solutions.
• Excellent communication skills: written and verbal.

Nice To Have:

• Prior experience in the e-commerce industry.
• Experience in modeling and ML for various e-commerce use cases such as building recommendation models.
• A good understanding of databases and servers.

Key Competencies:

• Business Acumen
• Organizational collaboration
• Learning Agility
• Drive for results
• Execution excellence