Data Engineer

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Business Type: Startup

Company Type: Product & Service

Business Model: B2B

Funding Stage: Pre-seed

Industry: Information technology

Salary Range: ₹ 10-25 Lacs PA

Job Description

Data Engineer — Supply Chain Platform

You will be part of the core engineering team building a next-gen Intelligence & Optimization platform. This role involves architecting scalable data pipelines, designing database schemas/models, enabling analytics, and ensuring data availability and reliability across our ecosystem. You will work closely with product, backend teams to deliver high-impact data solutions.

Key Responsibilities

Data Architecture & Modelling

• Design and maintain scalable database schemas and data models optimized for high-volume supply chain data.
• Evaluate and recommend database technologies (SQL, NoSQL, distributed storage) based on workload patterns.
• Drive ingestion, transformation, and storage strategy for real-time and batch data flows.

• Experience in performing complex queries in SQL ( RDBMS )
• Build and maintain ETL/ELT pipelines for structured and semi-structured data.
• Develop automation scripts for data workflows, backups, and disaster recovery.
• Work on large-scale distributed systems involving Spark and Kafka.

• Experience in reporting, dashboards, and insights.
• Optimize queries for performance and accuracy across multi-source datasets.

• Ensure availability, replication, backup, and DR setups.
• Performance tuning, index & partition management, schema evolution.

• Databases / Data Warehouse / Data Lake: Postgres, MySQL, Snowflake, AWS Redshift, Cassandra and other NoSQL stores.
• Big Data / Streaming: Apache Spark, Kafka.
• Scripting / Automation: Airflow, Python, Shell Scripts, DataBricks
• Cloud: AWS (S3, Athena, Glue, etc. is a plus).

• Build real-time data streams from various supply chain systems.
• Enable predictive analytics by ensuring clean and reliable data pipelines.