AWS Data Engineer @Bangalore

HCL Technologies Limited; Bengaluru; Hybride; INR 2 500 000 - 4 000 000; Plein temps

Résumé du poste

HCL Technologies Limited in Bengaluru seeks an experienced AWS Data Engineer to design, implement, and optimize secure, scalable AWS solutions for IoT and data analytics. The role emphasizes end-to-end cloud architecture, data pipelines, and real-time telemetry processing for enterprise platforms.

The ideal candidate has 8+ years of AWS cloud experience, strong knowledge of IoT data engineering, and hands-on work with AWS IoT Core, Lambda, DynamoDB, Glue, Athena, and related services, plus

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.

Responsabilités

• 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.

Connaissances

AWS IoT Core

Lambda

DynamoDB

Timestream

Glue

Athena

SQS

SNS

VPC

IAM

S3

EC2

Grafana

Keycloak

PostgreSQL

Python

IoT

Outils

Terraform

CloudFormation

CI/CD

Description du poste

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.