Data Engineer | SDE - 1

Overview

Fynd is India’s largest omnichannel platform and a multi-platform tech company specializing in retail technology and products in AI, ML, big data, image editing, and the learning space. It provides a unified platform for businesses to seamlessly manage online and offline sales, store operations, inventory, and customer engagement. Serving over 2,300 brands, Fynd is at the forefront of retail technology, transforming customer experiences and business processes across various industries.

About The Role

We are looking for a skilled Data Engineer to join our retail modernization initiative. You'll be responsible for building and maintaining the data infrastructure that powers our modern retail platform. In this role, you'll design robust data pipelines, optimize data storage, and ensure reliable data flow across systems to enable data-driven decision making for inventory, sales, and customer insights.

Key Responsibilities

• Design, build, and maintain scalable data pipelines to ingest, process, and transform data from multiple retail sources (POS systems, e-commerce platforms, inventory databases, customer touchpoints).
• Develop and manage ETL/ELT workflows supporting both batch and real-time data processing.
• Create and optimize data warehousing solutions to consolidate data from disparate systems into unified repositories.
• Implement data quality checks, validation rules, and monitoring to ensure accuracy and reliability.
• Collaborate with data analysts, data scientists, and backend engineers to understand data requirements.
• Build well-structured data models to support analytics, reporting, and ML use cases (demand forecasting, customer segmentation, BI).
• Optimize query performance and manage indexing strategies for high-volume retail transaction data.
• Implement data governance practices and ensure compliance with data privacy and security regulations.
  
  

• 2–5 years of experience in data engineering, analytics engineering, or related roles.
• Proven experience building and maintaining data pipelines.
  
  

• Strong proficiency in Python for data processing and pipeline development.
• Solid experience with SQL and relational databases (PostgreSQL, MySQL, or similar).
• Hands-on experience with ETL/ELT tools such as Apache Airflow, dbt, or Luigi.
• Experience with data warehouses (Snowflake, Redshift, BigQuery, Azure Synapse).
• Working knowledge of data processing frameworks (Spark, Pandas, or similar).
• Experience with cloud platforms (AWS, Azure, or GCP) and their data services.
• Strong understanding of data modeling, schema design, and dimensional modeling.
  
  

• Strong analytical and problem-solving skills.
• Excellent communication skills for working with non-technical stakeholders.
• Ability to work independently as well as collaboratively in agile teams.
  
  

• Experience with streaming platforms (Kafka, Kinesis).
• Knowledge of containerization and orchestration tools (Docker, Kubernetes).
• Familiarity with infrastructure as code (Terraform).
• Experience with data visualization tools (Tableau, Power BI, Looker).
• Exposure to AI/ML data pipelines and feature engineering.
• Understanding of vector databases and RAG architectures for generative AI.
• Prior experience in retail, e-commerce, or supply chain analytics.
  
  

At Fynd, growth is limitless. We nurture a culture that encourages innovation, embraces challenges, and supports continuous learning. As we expand into new product lines and global markets, we’re seeking talented individuals eager to grow with us.

We believe in empowering our people to take ownership, lead with confidence, and shape their careers.

• Flex University: Access in-house learning sessions and workshops designed to enhance your professional and personal growth.
• Learning Wallet: Enrol in external courses or certifications to upskill—we’ll reimburse the costs to support your development.
  
  

We believe in building strong teams and lasting connections.

• Regular community engagement and team-building activities
• Biannual events to celebrate achievements, foster collaboration, and strengthen our workplace culture
  
  

Your well-being is our priority. Comprehensive Mediclaim policy for you, your spouse, children, and parents

Work Environment

We thrive on collaboration and creativity. Our teams work from the office five days a week to encourage open communication, teamwork, and innovation.

Join us to be part of a dynamic environment where your ideas make an impact!