HCLTech
AWS Data Engineer @Bangalore
Skills
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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