Data Engineer

Role: Data Engineer    
Experience: 5+ Years    
Budget: 1.3 LPM + GST    
Work Mode: Remote

NOTE: Candidates must have completed an AWS certification through the AWS platform.

Key Responsibilities:
You will be responsible for the full lifecycle of our data products, from ingestion through to publication, including:
Design and build raw, standardized, and curated data pipelines that scale reliably across growing data volumes
Create reusable, well-documented data products for ASIN, SKU, product, brand, category, inventory, search, media, and vendor performance
Implement robust data quality, reconciliation, and freshness checks to catch issues before they reach downstream consumers
Support ASIN/SKU/product identity mapping and source crosswalks to unify data across disparate systems
Prepare and structure data for analytics, dashboards, feature engineering, and model consumption
Partner with analysts, data scientists, and business stakeholders to understand data needs and translate them into scalable engineering solutions
Monitor pipeline health, troubleshoot issues, and continuously improve reliability and performance

Preferred Skills:
We are looking for someone with a strong technical foundation in modern data engineering practices, along with hands-on experience in the following areas:
Strong proficiency in SQL, Python, and PySpark for large-scale data processing
Hands-on experience with AWS data services: S3, Glue, Athena, Lake Formation, Step Functions, and Lambda
Snowflake or Databricks experience is a strong plus
Familiarity with API-based and batch ingestion patterns
Solid grounding in data modelling, data quality frameworks, partitioning strategies, metadata management, and lineage tracking
Prior experience working with commerce, retail, media, or CPG datasets is preferred
AWS Certification (e.g., AWS Certified Data Engineer, AWS Certified Solutions Architect) is mandatory