AWS Data Engineer

Who we are :

CloudifyOps is a technology consulting and services company that specializes in cloud computing, DevOps, and digital transformation. We help businesses modernize their IT infrastructure, optimize cloud operations, and accelerate software delivery through automation and best practices.

Culture at CloudifyOps :

Working with CloudifyOps is a rewarding experience. Great people, a work environment that thrives on creativity, and the opportunity to take on roles beyond a defined job description are just some of the reasons you should work with us.

Role Overview :

Seeking an experienced AWS Engineer who can lead solution architecture and hands-on development for projects involving large-scale AWS infrastructure and data processing. This role demands advanced technical expertise, big data analytics experience, and the ability to own end-to-end delivery, customer engagements, and technical leadership for complex cloud initiatives.

Responsibilities :

Design and architect scalable, secure, and cost-effective AWS-based solutions for high-volume data processing workloads.

Lead the end-to-end implementation and delivery lifecycle for AWS projects, from requirements gathering to deployment / monitoring.

Develop automation scripts / infrastructure as code using Terraform for provisioning and managing cloud resources.

Implement robust data pipelines and ETL workflows using AWS Glue, Lambdas, S3 (with Parquet), EMR / Spark clusters, and associated AWS analytics services.

Architect AWS network setups including VPCs, private links, Route53, cross-account / OU routing, and multi-region strategies.

Build and manage secure, high-performance APIs using API Gateway.

Act as a senior technical lead supporting customer-facing conversations, capturing business needs, translating them into technical solutions, and ensuring stakeholder satisfaction.

Requirements

Technical skill set :

AWS services like S3, Lambda, Glue, EMR / Spark, and advanced networking features (VPC, PrivateLink, Route53, cross-account / OU routing), terraform, CloudFormation, API Gateway, Lambda, Data Storage, ETL and Data Processing, Data Streaming, Programming & Scripting, Data Modeling & Warehousing, Data Governance & Quality, data base.

Must have requirements :

5-6+ years of hands-on experience with AWS cloud services, including solution design and implementation in production environments.

Expert knowledge in S3, Parquet data storage, Lambda functions, Glue jobs, EMR / Spark clusters, AWS networking (private links, Route53, cross-account routing), and API Gateway.

Proficiency in Infrastructure-as-Code (IaC) tools, particularly Terraform for AWS environments.

Demonstrated experience architecting and delivering large-scale, high-performance data platforms and analytics solutions on AWS.

Strong client-facing engagement skills, proven ability to drive conversations at both technical and business levels.

Excellent communication, ownership mindset, and leadership capabilities—able to take responsibility for e2e delivery of cloud projects.

Preferred Qualifications

AWS Solutions Architect – Professional or equivalent certification highly desirable.

Experience building secure environments in regulated industries (finance, healthcare, etc.) is an added advantage.

Prior background in big data stack (Spark, Hadoop, ETL frameworks) beneficial.

Soft Skills

Strategic thinking and problem-solving orientation.

Customer-centric and results-driven.

Ability to lead, inspire, and upskill cross-functional teams.

Equal opportunity employer :

CloudifyOps is proud to be an equal opportunity employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, color, sex, religion, national origin, disability, pregnancy, marital status, sexual orientation, gender reassignment, veteran status, or other protected category