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Data Engineer

HCLTech • 🌐 In Person

In Person Posted 11 hours, 21 minutes ago

Job Description

Experienced AWS \& Python Developer skilled in designing, implementing, and supporting scalable cloud-based solutions using AWS (EC2, S3, Lambda, Redshift) and REST API integrations.

This role involves Knowledge Transition (KT) absorption, application support, and mentoring team members to build sustainable in-house capabilities. The ideal candidate is hands-on with both development and production environments, capable of optimizing data pipelines and integrating systems through secure, efficient APIs.

Key Responsibilities

Knowledge Transition \& Support

Lead KT absorption from client or development teams, ensuring full understanding of existing architecture, configurations, and workflows.

Document technical and functional knowledge in structured formats for internal knowledge repositories.

Provide Level 2/3 support, troubleshoot incidents, and perform root cause analysis for AWS-hosted applications and data pipelines.

Participate in hypercare and stabilization phases post-deployment to ensure smooth operations.

AWS \& Python Development

Design, develop, and maintain AWS-based solutions leveraging EC2, S3, Lambda, and Redshift.

Write efficient Python scripts for automation, data ingestion, and API integrations using libraries such as boto3, requests, and pandas.

Implement and monitor ETL pipelines that integrate structured and unstructured data from multiple systems into Redshift or other data lakes.

Build and manage RESTful APIs and microservices for seamless data and system interoperability.

Optimize data performance, manage storage costs, and ensure scalability of solutions.

Collaboration \& Team Enablement

Mentor junior developers and data engineers to build strong AWS and Python development capabilities.

Conduct code reviews, KT sessions, and internal training workshops to upskill the support team.

Collaborate with cross-functional teams (data, DevOps, and business) to deliver stable and scalable solutions.

Promote best practices in cloud cost optimization, security, and CI/CD deployment automation.

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