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AWS Data Engineer @Bangalore

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Hybrid

AWS Data Engineer @Bangalore

HCLTech

AWS Data Engineer @Bangalore

Skills

Data EngineeringDynamoDBPythonPostgreSQLAmazon EC2AWS LambdaGrafanaData AnalysisAWSMQTTTerraform

14 days ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

7 October 2026

What they need


Location:-Bangalore

Exp-7+yrs

Workmode-Hybrid

AWS Data Engineer

AWS Data Engineering Specialist

We are seeking an experienced AWS Cloud Specialist to design, implement, and optimize secure, scalable, and high-performance AWS solutions. The role focuses on end-to-end cloud and IoT architecture, including solution design, implementation, security, networking, data engineering, authentication, and monitoring for enterprise and IoT platforms.

Key Responsibilities

  • Design and implement AWS IoT data engineering solutions for secure device connectivity, telemetry ingestion, processing, and analytics.
  • Design and configure AWS IoT Core for device connectivity, MQTT communication, certificates, IoT policies, authentication, authorization, and message routing.
  • Build scalable event-driven and serverless IoT data pipelines using AWS IoT Rules, Lambda, SQS, and SNS for real-time telemetry processing and downstream integration.
  • Develop and optimize ETL/ELT pipelines using AWS Glue and Python to transform high-volume IoT data into analytics-ready datasets.
  • Implement Medallion Architecture on Amazon S3 using Bronze, Silver, and Gold layers for data ingestion, cleansing, transformation, enrichment, and analytics.
  • Build data lake and analytics solutions using S3, Athena, PostgreSQL, DynamoDB, and Timestream for IoT and business data.
  • Implement data quality, validation, monitoring, and observability across IoT data pipelines.
  • Develop Grafana dashboards for IoT telemetry, device health, pipeline monitoring, and operational analytics.

Required Core Skills & Qualifications

  • 8+ years of AWS cloud architecture and implementation experience.
  • Strong expertise in AWS IoT Core, Lambda, DynamoDB, Timestream, Glue, Athena, SQS, SNS, VPC, Security Groups, IAM, S3, EC2, Grafana, and Keycloak.
  • Experience with PostgreSQL and Python development.
  • Strong understanding of serverless, IoT, cloud security, networking, authentication, and data engineering architectures.
  • Excellent problem-solving and technical leadership skills.

Preferred Qualifications

  • AWS Certified Solutions Architect Professional or equivalent AWS certifications.
  • Experience with Terraform or CloudFormation.
  • Experience with CI/CD, DevOps automation, and large-scale IoT or real-time data platforms.
  • Knowledge of monitoring, observability, identity management, and cloud cost optimization best practices.

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