Job Description

Lead Data Engineer with Supply chain expertise

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Location: Pune

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Experience: 6+ Years

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Role Overview

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We are looking for a seasoned Lead Data Engineer with 6+ years of core data engineering experience to design and build scalable, real-time and batch data platforms with Supply Chain expertise. The role requires strong expertise in data analytics, python, advanced SQL, complex data transformations, system integrations, and supply chain workflow.

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Key Responsibilities

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- Design and build real-time, AI based supply chain batch data ingestion pipelines.
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- Build complex data transformation, cleansing, enrichment, and reconciliation workflows.
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- Integrate data from REST APIs, databases, files, enterprise systems, and streaming sources.
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- Develop ETL tools and validation routines for complex supply chain workflows.
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- Develop reusable Python and SQL components for ingestion and transformation.
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- Implement schema evolution, incremental loads, retries, error handling, and data recovery.
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- Understand agentic structure and create data solutions and models for optimisation engines.
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- Implement data quality checks, monitoring, logging, alerting, and audit controls.
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- Review technical designs and guide data engineers on implementation standards.
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Required Skills

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- 6+ years of hands-on data engineering experience.
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- Strong experience with Supply chain data management and transformation.
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- Robust Python and PySpark development skills.
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- Advanced SQL skills, including complex joins, and query optimization.
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- Strong understanding of ETL and ELT design patterns.
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- Experience with REST APIs, JSON, CSV, MongoDB and OLAP engines.
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- Experience with developing Agents and Agentic design.
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- Strong understanding of data modelling, schema design, partitioning, and schema evolution.
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- Experience implementing pipeline observability, data validation, monitoring, and alerting.
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- Experience with Git, CI/CD, Docker, and Kubernetes.
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📌 Lead Data Engineer with Supply chain expertise (Pune)
🏢 ORMAE
📍 Pune