Job Description: Data Engineer

About the Role

We are looking for a Data Engineer to join our Digital Transformation team at a leading chemical manufacturing plant in India. In this role, you will design, build, and maintain scalable data platforms that enable analytics, AI, and Industry 4.0 initiatives. You will work closely with data scientists, software engineers, and plant operations teams to develop reliable data infrastructure and business dashboards.

Key Responsibilities

Data Engineering & Architecture
Design and implement scalable data architecture and pipelines.
Build and maintain ETL/ELT pipelines using Python and SQL.
Integrate data from SAP, Historian systems, Excel, APIs, and other sources.
Develop and optimize data lakes and warehouses on Azure/Databricks.
Ensure data quality, governance, security, and performance.

Analytics & Visualization
Develop Power BI dashboards for KPI tracking and business reporting.
Provide clean and structured datasets for analytics and AI/ML projects.

Cloud & DevOps
Build and maintain data solutions on Microsoft Azure.
Manage CI/CD pipelines using Azure DevOps.
Support batch and real-time data processing using tools such as Azure Data Factory, Spark, or Kafka.

Collaboration
Work with data scientists, full-stack developers,



and plant teams to deliver data-driven solutions.
Support business users by enabling effective reporting and dashboard adoption.
Contribute to digital transformation initiatives and promote data engineering best practices.

Required Qualifications
B.Tech/M.Tech in Computer Science, Data Engineering, or a related field.
3+ years of experience in Data Engineering.
Experience working in manufacturing, industrial, energy, or supply chain settings is preferred.
Hands-on experience designing and deploying data platforms.

Technical Skills
Programming: Python, SQL, Pandas, Spark
Visualization: Power BI
Cloud: Microsoft Azure
Data Engineering: Azure Data Factory, Airflow (or similar ETL tools), Azure Databricks
Databases: PostgreSQL, MS SQL Server, MongoDB or other NoSQL databases
DevOps: Azure DevOps (CI/CD)

Preferred Skills
Experience with real-time data processing and streaming technologies.
Understanding of data governance and data quality best practices.
Solid problem-solving, communication, and stakeholder management skills.
Experience supporting Industry 4.0 or digital transformation initiatives is a plus.

PLEASE NOTE THIS IS NOT A WFH OR HYBRID JOB, ITS A WFO JOB ( 5 DAYS)

📌 Data Engineer Delhi
🏢 Hr Services Chandigarh
📍 Delhi