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Aws Data Engineer

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Onsite

Aws Data Engineer

Select Source International

Aws Data Engineer

Skills

SQL QueriesPythonData VisualizationJavaGrafanaCybersecurityAWSCRMSalesforceMQTTPower BITerraform

2 months ago

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Important information


Contract type:

Permanent

Salary:

₹1,500,000 – ₹3,000,000 / year

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

21 August 2026

What they need


Role Desired Competencies (Technical/Behavioral Competency)

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.

Responsibilities

  • 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.

Mindset

  • Strong problem-solving and debugging skills.

  • Proactive and detail-oriented approach to system monitoring and incident management.

  • Effective communication with IT and data platform teams.

Soft Skills

  • Strong analytical and problem-solving abilities

  • Clear communication in English

  • Ability to work independently and collaboratively in a cross-functional team.

  • Strong focus on code quality, documentation, and collaboration

Highly Recommended

  • Technical Skills:

  • 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.

  • le & responsibilities

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