Systems Engineer, Controls Fleet, Data Center Capacity Delivery

Job ID: 3138988

How did the process go and which location?

Anyone here recently done a phone screen, currently in the process, or finished the full loop?

Any suggestions would be appreciated.

Job id - 10462648
Loc - Austin,TX

I applied for the AWS Pro Serve Delivery Consultant - Data Architect role and received an OA. How do I best prepare for the same? Any suggestions would be deeply appreciated. I have a background in data engineering not necessarily as an architect.

About Me

Senior Data Engineer with 5+ years of experience specializing in AWS data services and cloud data pipelines. Based in Bangalore, India. Available for remote work globally.

Rate: $25 – $50/hr depending on project scope and complexity.

AWS Data Expertise

AWS Glue (ETL jobs, crawlers, data catalog)

Amazon Redshift (design, optimization, Spectrum)

Amazon Kinesis (Data Streams, Firehose, Analytics)

AWS Lambda (event-driven data pipelines)

Amazon S3 (data lake architecture, partitioning)

AWS EMR (Spark clusters)

AWS Step Functions (pipeline orchestration)

AWS CDK / CloudFormation for data infra

Broader Data Stack

Python, PySpark, SQL

Snowflake, dbt (data build tool)

Apache Airflow

Databricks (Delta Lake, MLflow)

FastAPI, REST APIs

LLMs, RAG pipelines

What I Can Help With

Building end-to-end AWS data pipelines

Migrating on-prem ETL to AWS cloud

Designing scalable data lake architectures on S3

Optimizing Redshift performance

Real-time streaming with Kinesis

AWS data infrastructure cost optimization

Availability: Immediate

Timezone: IST (flexible for US/EU hours)

Feel free to DM me with your project requirements!

👉 https://aijobs.net/job/principal-knowledge-data-architect-headquarters-chevy-chase-md-219682/

Tasks

• Build chunking and embedding pipelines
• Build retrieval-augmented generation pipelines
• Debug and rebuild production RAG pipeline failures
• Define AI knowledge requirements for data integrations
• Design and run retrieval and re ranking
• Design content capture and classification
• Design knowledge graph data model
• Explain technical architecture trade offs to stakeholders
• Extract structure from unstructured content
• Implement knowledge classification and lineage governance
• Operate entity resolution and deduplication
• Own knowledge management architecture
• Stand up and operate knowledge graphs

Perks/Benefits

• Benefits including health and wellness programs
• Health, wellness, and retirement plans

Skills/Tech-stack

AWS Neptune | Canonicalization | Chunking | Cypher | DBT | Databricks | Deduplication | ETL | Embeddings | Entity Resolution | Graph Databases | Gremlin | Hybrid retrieval | Indexing | Information Extraction | Knowledge graphs | LLM |LLM based extraction | Language Processing | Natural Language | Natural Language Processing | Neo4j | PGVector |Pinecone | Python | Qdrant | Query rewriting | Re-ranking | Retrieval-Augmented Generation | SPARQL | SQL | Vector Databases | Weaviate

Education

Bachelor of Science

Roles

Architect | Data Architect | Engineer | Knowledge Architect | Learning Engineer | Machine Learning Engineer

Regions

North America

Countries

United States

States

Maryland, US

Cities

Chevy Chase, Maryland, US

Apply now: https://aijobs.net/job/principal-knowledge-data-architect-headquarters-chevy-chase-md-219682/

My Amazon is in New Jersey but my pre hire is in Delaware. Is this normal ? A glitch ? Has this happened to anyone else before ?

Apply now: https://aijobs.net/job/associate-director-data-labs-washington-district-of-columbia-20004-united-states-200140/

Tasks

• Develop research standards and best practices
• Facilitate research portfolio from conception to production
• Interface with stakeholders on research production dissemination and budgeting
• Lead AI governance and LLM use
• Manage data science team
• Manage technical toolkit and documentation
• Present research to media and conferences
• Select research methods and project designs

Perks/Benefits

• Conference speaking opportunities
• Hybrid work schedule
• Media appearances

Skills/Tech-stack

AWS | Cloud Computing | Compute Infrastructure | Data Analysis | LLM Governance | Language Models | Language Processing | Large Language Models | Machine Learning | Model Evaluation | Multimodal Learning | Natural Language |Natural Language Processing | Prompt engineering | Text Classification | Transformer Models

Education

PhD

Roles

Data Science | Data Science Manager | Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer |Manager | Scientist

Regions

North America

Countries

United States

States

District of Columbia, US

Cities

Washington, District of Columbia, US

Apply now: https://aijobs.net/job/associate-director-data-labs-washington-district-of-columbia-20004-united-states-200140/

Hi everyone,

​I want to build an intensive study plan to master AWS from scratch, but I don't want to waste time memorizing obsolete services or things that only matter for passing a certification exam. I want to focus on what companies are actually looking for today and what brings real value to a day-to-day production environment.

​Is it worth going straight for a certification (like the Solutions Architect Associate)? Would you choose a specific specialization? AI, Cybersecurity...?"

​I would highly appreciate any advice or red flags on what I should NOT waste my time on.

​Thanks a lot!

L4 job preparation

Buenas a todos,

Quiero armarme un plan de estudio intensivo para dominar AWS desde cero, pero no quiero perder el tiempo memorizando servicios obsoletos o que solo se usan en el examen de certificación. Quiero enfocarme en lo que realmente piden las empresas hoy en día y lo que aporta valor real en el día a día de un entorno de producción.

¿Vale la pena ir directo a por una certificación (como el Solutions Architect Associate)? ¿Os especializarias en algún tema? IA, Seguridad...?

Agradezco enormemente cualquier consejo o cosas en las que NO deba perder el tiempo.

¡Muchas gracias!

We are hiring at sls.guru for Senior #backend #AWS engineers with experience in Typescript / NodeJS, IaC, and #serverless architecture. EST alignment is a requirement for this specific project. We have other projects where TZ is less rigid. If y'all know anyone or are interested 🍻

This is the job link, https://serverless-guru-llc.breezy.hr/p/05541b598119-backend-lead-developer.

Thanks for taking a look 🤙

Hi everyone,

I'm a Full Stack Developer with around 3 years of experience building applications using Angular, Node.js, Express.js, MongoDB, and TypeScript.

I'm currently studying for the AWS Certified Cloud Practitioner (CLF-C02) certification and want to gain practical AWS experience by contributing to real projects.

At this stage, I'm specifically interested in serverless AWS projects rather than traditional infrastructure-heavy setups. I'm looking for projects that primarily use services such as:

• AWS Lambda
• API Gateway
• DynamoDB
• S3
• SNS
• SQS
• EventBridge
• Cognito
• CloudFront
• Step Functions

I'm not currently looking for projects centered around Docker, Kubernetes, EC2 administration, or complex DevOps workflows. My goal is to learn cloud architecture and AWS services through hands-on development while keeping operational management minimal.

My background includes:

• 3 years of Full Stack Development
• Angular
• Node.js
• Express.js
• MongoDB
• TypeScript
• REST APIs
• SaaS application development
• Multi-tenant application architecture

If you're building a serverless application, open-source project, startup MVP, internal tool, or AWS-based side project and could use an extra developer, I'd love to contribute and learn alongside the team.

I'm happy to volunteer some time initially if the project provides good AWS learning opportunities.

Thanks!

Hi everyone,

I'm a Senior Data Engineer with 5+ years of hands-on experience, currently open to freelance and part-time opportunities. I have strong AWS experience along with expertise in data engineering, backend systems, and applied AI.

I have worked across Python, Spark, Hadoop, Airflow, SQL, Databricks, and AWS, with strong experience in building scalable data pipelines, ETL/ELT workflows, data processing systems, and production-ready backend services. I also have experience in Machine Learning, NLP, Agentic AI, LLMs, RAG pipelines, and AI agents.

What I can help with:

- Build and optimize data pipelines on AWS (S3, Glue, EMR, Lambda, Redshift)

- Design ETL/ELT workflows using Spark, Airflow, SQL, and Databricks

- Develop backend APIs and automation systems with Python (FastAPI)

- Support AWS-based data and ML workloads

- Work on Machine Learning and NLP use cases

- Build RAG pipelines, LLM applications, and AI agent workflows

- Debug, optimize, and improve existing AWS data platforms

Tech stack:

- Languages: Python, SQL

- Data Engineering: Spark, Hadoop, Airflow, Databricks, ETL/ELT

- Cloud: AWS (S3, Glue, EMR, Lambda, Redshift, EC2)

- Backend: FastAPI, REST APIs, integrations

- AI/ML: Machine Learning, NLP, LLMs, RAG, AI Agents

Availability & Rates:

- Freelance projects / Part-time remote

- Short-term or long-term collaboration

- Rate: $30-$60/hr (negotiable based on scope)

Feel free to DM me with your project details. Looking forward to collaborating on impactful work.