EHS&S Data Engineer: Azure Data Pipelines

The Dow Chemical Company; Hinoba-an; On-site; PHP 663,000 - 928,000; Full time

Job summary

Dow has an exciting opportunity for a Data Engineer in Navi Mumbai (India) within the Environment, Health, Safety and Sustainability (EHS&S) IT team. You will focus on ingestion, persistence, and curation of data across Azure-based enterprise data platforms.

You will build data pipelines with Azure Data Factory and Databricks, collaborate with data scientists, and contribute to Dow's digital transformation through scalable data architectures.

Qualifications

• Bachelor’s degree in computer science, Computer Information Systems, related IT field, or EHS&S area.
• 5+ years of work experience.
• A minimum of 2 years of relevant data platform experience (data ingestion, pipeline orchestration).
• Advanced English Level Skills.

Responsibilities

• Own the development and deployment of EHS&S data ingestion, storage, and consumption across Dow's Azure-based enterprise data platforms.
• Create data pipelines for EHS&S projects using Azure Data Factory, Azure Databricks, and related technologies.
• Collaborate with data scientists and analysts to support their data needs.
• Monitor, test, and improve data architecture and performance; identify opportunities for digital transformation.
• Deploy Azure services using Infrastructure as Code and Azure DevOps.
• Design, develop, test, and implement EHS&S analytic and reporting solutions for end-to-end data flow.
• Work across multiple initiatives in Environmental, Health, Safety and Sustainability space.

Skills

data modeling

data warehousing

ETL processes

data ingestion

SQL

Python

Azure data services

Azure Data Factory

Databricks

Spark

DevOps / MLOps

Infrastructure as Code

Education

Bachelor's degree in CS/IT or related

Tools

Azure Data Factory

Databricks

Spark

Hive

Job description

Dow has an exciting opportunity for a Data Engineer in Navi Mumbai (India) within the Environment, Health, Safety and Sustainability (EHS&S) IT team. You will focus on ingestion, persistence, and curation of data across Azure-based enterprise data platforms.

You will build data pipelines with Azure Data Factory and Databricks, collaborate with data scientists, and contribute to Dow's digital transformation through scalable data architectures.