Azure Data Engineer

Role Description

We are seeking a skilled and motivated Senior Data Engineer to join our engineering team. He/she will be responsible for building robust and scalable Data pipelines while collaborating across teams to create scalable, high-quality, maintainable product.

Technical Skills

- Python
- PySpark
- Databricks
- Azure Cloud platform
- NoSQL Databases (cosmosdb, mongodb, …)
- UnityCatalog
- Datascience basic knowledge

Responsibilities

- Design, build, and maintain data transformation pipelines using PySpark and Databricks.
- Manage effeciently large dataset.
- Manage NoSQL database - CosmosDB.
- Implement and maintain complex data calculation formula.
- Open to collaborate with Software Engineers.
- Participate in code reviews, design discussions, and software planning.
- Contribute to automation, testing, and deployment processes.

Experience- 7 – 13 years

Location: Pune, Bangalore, Delhi

AWS Data Engineer

Role Description

We are seeking a skilled and motivated Senior Data Engineer to join our engineering team. He/she will be responsible for building robust and scalable Data pipelines while collaborating across teams to create scalable, high-quality, maintainable product.

Technical Skills

- Proficiency in Python for data transformation and automation.
- Experience with Terraform and AWS Cloud infrastructure.
- Familiarity with Java for SCADA software development.
- Understanding of Data Lake architecture and data modeling.
- Knowledge of MQTT, Greengrass, and OPC-UA protocols.
- Experience with Windows Server management and PowerShell scripting.




- Ability to create and manage Grafana dashboards using SQL queries.
- Basic knowledge of AWS CloudWatch and AWS Glue.

Role Description

- Design and implement data transformation workflows using Python and AWS services.
- Develop and maintain infrastructure using Terraform and AWS Cloud.
- Standardize and manage raw and curated data in a multi-source Data Lake.
- Build and maintain SCADA data collection software deployed on AWS Greengrass.
- Automate deployment of Greengrass across multiple sites and ensure operational stability.
- Monitor and manage Windows servers hosting Greengrass using PowerShell.
- Create and maintain Grafana dashboards for data visualization and system monitoring.
- Coordinate with IT teams to manage incidents and plan maintenance activities.
- Use AWS CloudWatch to monitor system health and report errors.
- Integrate CRM data (Salesforce) into Power BI using AWS Glue and Python Lambdas.
- Collaborate with Data Platform teams to manage access, API provisioning, and folder creation.

Highly Recommended

- Advanced understanding of SCADA systems and industrial data flows.
- Experience with automated deployment and multi-site configuration management.
- Familiarity with network administration and cybersecurity principles.
- Basic knowledge Salesforce integration.
- Optional
- Technical Skills:
- Experience with Power BI dashboard creation.
- Knowledge of API management and data access provisioning on enterprise platforms.

Experience- 7 – 13 years

Location: Pune, Bangalore, Delhi

📌 Data Engineer- AWS / Azure (Delhi)
🏢 Innova ESI
📍 Delhi