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Cloudelligent

<div>
 
 
 
 
 
 Position Title:
 
 AWS Data Engineer&nbsp;
 
 
 
 
 
 
 
 
 Job Timings:
 
 8:00 AM &ndash; 5:00 PM CST (6:00 PM- 3:00 AM PKT)
 
 
 
 
 
 
 
 
 Location:&nbsp;
 
 Lahore
 
 
 
 
 
 
 
 
 
 About Cloudelligent&nbsp;
 
 
 
 
 
 
 
 
 
 Cloudelligent is Cloud-native consultancy and AWS Advanced consulting partner! We specialize in providing bespoke cloud solutions to Startups &amp; SMBs. Being a next-gen cloud service provider, Cloudelligent helps businesses to make the most out of their cloud investment. We have an international footprint with a diverse team of domain experts, and we are customer obsessed.&nbsp;
 
 
 
 
 
 
 
 
 
 Job Objective
 
 
 
 
 
 
 
 
 
 We are seeking an experienced Data Engineer with a strong background in data engineering, database optimization, and cloud-based data solutions, particularly on AWS. The ideal candidate will have hands-on experience with both SQL and NoSQL databases and be proficient in migrating, managing, and modernizing data platforms. You should be skilled in designing and maintaining scalable, secure, and high-performance data infrastructure in the cloud.
 
 
 
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Design, implement, and manage cloud-based data infrastructure using Amazon RDS, Aurora, and EC2-hosted databases.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Administer and optimize PostgreSQL, MySQL, and Oracle databases, ensuring high availability, performance, and cost-efficiency.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Perform data migrations and transformations using AWS Database Migration Service (DMS) and other tools.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Collaborate with data architects, engineers, and DevOps teams to deliver reliable and scalable data solutions.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Support developers by analyzing and optimizing SQL queries and data workflows for performance and efficiency.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Monitor and troubleshoot data issues, ensuring availability, security, and compliance.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Implement data automation, infrastructure as code (IaC), and CI/CD pipelines for database and data pipeline deployments.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Ensure data security, encryption, and compliance with industry best practices and internal policies.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Maintain comprehensive documentation on data architecture, processes, and procedures.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Stay up to date with emerging AWS features, data engineering tools, and industry best practices.
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 Requirements
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, or a related field.
 
 
 
 
 </li>
 <li>
 
 
 
 
 4+ years of experience in data engineering or database engineering, including hands-on experience with databases on AWS.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Strong experience with AWS data services such as RDS, Aurora, and DMS.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Proficient in performance tuning, indexing strategies, partitioning, and query optimization.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Strong scripting and automation experience using Python, Bash, or similar tools.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Experience with infrastructure as code tools like Terraform or CloudFormation.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Solid understanding of backup strategies, monitoring tools, and security best practices.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Familiarity with multi-account AWS environments and cross-region replication.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Excellent communication and problem-solving skills.
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 Highly Desirable
 
 
 
 
 <ul>
 <li>
 
 
 
 
 AWS Certification (e.g., AWS Certified Data Engineer &ndash; Associate, AWS Certified Solutions Architect &ndash; Associate).
 
 
 
 
 </li>
 <li>
 
 
 
 
 Experience with large-scale on-prem to AWS data migrations.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Familiarity with data governance, compliance, and auditing tools.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Exposure to data lake architecture and AWS services like Glue, Athena, or Kinesis is a plus.
 
 
 
 
 </li>
 </ul>
 
 
 
 
</div>

AWS Data Engineer

<div>Position Title: AWS Data Engineer 
Job Timings: 8:00 AM &ndash; 5:00 PM CST (6:00 PM- 3:00 AM PKT) 
Location: Lahore 
 
About Cloudelligent 
 
Cloudelligent is Cloud-native consultancy and AWS Advanced consulting partner! We specialize in providing bespoke cloud solutions to Startups &amp; SMBs. Being a next-gen cloud service provider, Cloudelligent helps businesses to make the most out of their cloud investment. We have an international footprint with a diverse team of domain experts, and we are customer obsessed. 
 
Job Objective 
 
We are seeking an experienced Data Engineer with a strong background in data engineering, database optimization, and cloud-based data solutions, particularly on AWS. The ideal candidate will have hands-on experience with both SQL and NoSQL databases and be proficient in migrating, managing, and modernizing data platforms. You should be skilled in designing and maintaining scalable, secure, and high-performance data infrastructure in the cloud. 
 
Responsibilities<ul><li>
Design, implement, and manage cloud-based data infrastructure using Amazon RDS, Aurora, and EC2-hosted databases.</li><li>
Administer and optimize PostgreSQL, MySQL, and Oracle databases, ensuring high availability, performance, and cost-efficiency.</li><li>
Perform data migrations and transformations using AWS Database Migration Service (DMS) and other tools.</li><li>
Collaborate with data architects, engineers, and DevOps teams to deliver reliable and scalable data solutions.</li><li>
Support developers by analyzing and optimizing SQL queries and data workflows for performance and efficiency.</li><li>
Monitor and troubleshoot data issues, ensuring availability, security, and compliance.</li><li>
Implement data automation, infrastructure as code (IaC), and CI/CD pipelines for database and data pipeline deployments.</li><li>
Ensure data security, encryption, and compliance with industry best practices and internal policies.</li><li>
Maintain comprehensive documentation on data architecture, processes, and procedures.</li><li>
Stay up to date with emerging AWS features, data engineering tools, and industry best practices.</li></ul> 

Requirements<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, or a related field.</li><li>
4+ years of experience in data engineering or database engineering, including hands-on experience with databases on AWS.</li><li>
Strong experience with AWS data services such as RDS, Aurora, and DMS.</li><li>
Proficient in performance tuning, indexing strategies, partitioning, and query optimization.</li><li>
Strong scripting and automation experience using Python, Bash, or similar tools.</li><li>
Experience with infrastructure as code tools like Terraform or CloudFormation.</li><li>
Solid understanding of backup strategies, monitoring tools, and security best practices.</li><li>
Familiarity with multi-account AWS environments and cross-region replication.</li><li>
Excellent communication and problem-solving skills.</li></ul> 

Highly Desirable<ul><li>
AWS Certification (e.g., AWS Certified Data Engineer &ndash; Associate, AWS Certified Solutions Architect &ndash; Associate).</li><li>
Experience with large-scale on-prem to AWS data migrations.</li><li>
Familiarity with data governance, compliance, and auditing tools.</li><li>
Exposure to data lake architecture and AWS services like Glue, Athena, or Kinesis is a plus.</li></ul>
Eo1X4DjTaJ</div>

<div>Position Title: Sr. AWS AI Engineer 
Location: Lahore 
Job Timings: 6pm-3am Pakistan Time (PKT) 
 
About Cloudelligent 
 
Cloudelligent is Cloud-native consultancy and AWS Advanced consulting partner! We specialize in providing bespoke cloud solutions to startups and SMBs. Being a next-gen cloud service provider, Cloudelligent helps businesses to make the most out of their cloud investment. We have an international footprint with a diverse team of domain experts, and we are customer obsessed. 
 
Job Objective 
 
As a Sr. AWS AI Engineer at Cloudelligent, you will drive the development of innovative artificial intelligence solutions. This role emphasizes the implementation, optimization, and deployment of AI models while collaborating with cross-functional teams to enhance our products and services. The ideal candidate will possess a strong foundation in both machine learning and deep learning. Additionally, this role will lead and manage a team of AI engineers, guiding their growth and ensuring the successful delivery of AI-driven solutions. 
 
Responsibilities:<ul><li>
Implement and fine-tune pre-trained AI models tailored to meet specific industry needs.</li><li>
Utilize cloud-based AI services, particularly AWS Bedrock, Amazon SageMaker, Amazon Rekognition, and OpenAI, to streamline development and deployment processes.</li><li>
Leverage AWS data services, including Amazon Athena, Amazon Redshift, OpenSearch, Kendra and AWS Glue, for efficient data processing and analysis.</li><li>
Optimize AI models for performance, accuracy, and efficiency, ensuring they meet real-world requirements.</li><li>
Apply techniques to reduce AI hallucination and enhance model reliability.</li><li>
Utilize Retrieval-Augmented Generation (RAG) techniques to improve AI response quality.</li><li>
Work with vector databases, specifically PostgreSQL with pgvector, for efficient similarity search and information retrieval in AI applications.</li><li>
Collaborate with cross-functional teams to seamlessly integrate AI capabilities into our products and services.</li><li>
Engage in prompt engineering to enhance model interaction and output quality.</li><li>
Stay updated on the latest trends and advancements in AI technologies, contributing to the adoption of new tools and techniques.</li></ul>
Requirements:<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Machine Learning, or a related field.</li><li>
5+ years of hands-on experience in AI/ML development with a strong focus on AWS-based AI services.
</li><li>Advanced proficiency in Python and expertise in AI/ML frameworks such as TensorFlow, PyTorch, or Keras.</li><li>
Extensive experience with AWS AI services, including Amazon SageMaker, AWS Bedrock, and integrating Azure OpenAI into cloud-based solutions.</li><li>
In-depth knowledge of AWS data services, including Amazon Athena, Amazon Redshift, AWS Glue, and their application in AI/ML pipelines.</li><li>
Expertise in Agentic Behavior in AI and deploying models using technologies like CrewAI, LangGraph, and Langchain.</li><li>
Experience with vector databases and similarity search techniques for scalable AI solutions.</li><li>
Understanding of AI/ML algorithms and architectures, including CNNs, RNNs, transformers, and experience building end-to-end solutions.</li><li>
Expertise in data preprocessing, feature engineering, and model evaluation at scale.</li><li>
Demonstrated ability to lead AI/ML projects and communicate complex ideas effectively to both technical and non-technical stakeholders.</li></ul>
Good to Have:<ul><li>
Experience with machine learning frameworks and libraries like TensorFlow, PyTorch, or Scikit-learn.</li><li>
Knowledge of big data technologies such as Apache Spark or Hadoop.</li><li>
Familiarity with data visualization tools and techniques.</li></ul>
Highly Desirable:<ul><li>
Relevant certifications (e.g., AWS Certified Machine Learning &ndash; Specialty, AWS Certified AI Practitioner).</li></ul> 

fA5Z5MD6tT</div>

Sr. AWS AI Engineer

Taraki

<div>
 
 Full Stack Engineer
 
 
 
 Were looking for a talented and versatile Full Stack Engineer to join our team. Youll work closely with designers, product managers, and other engineers to build scalable, reliable web applications. This role is ideal for someone who enjoys working across frontend and backend, leverages modern AI-assisted tools, and thrives in a fast-paced, collaborative environment.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Collaborate with product managers and designers to translate requirements into technical solutions.
 </li>
 <li>
 Design, develop, and maintain applications using Next.js with TypeScript &amp; Node.js
 </li>
 <li>
 Build automation workflows and integrations using n8n.
 </li>
 <li>
 Build and integrate RESTful APIs and third-party services.
 </li>
 <li>
 Work with databases (SQL and NoSQL) design schemas, write optimized queries, and manage data integrations.
 </li>
 <li>
 Use AI-assisted development tools (e.g. Cursor, Replit, GitHub Copilot) to accelerate coding and improve quality.
 </li>
 <li>
 Deploy and manage infrastructure on AWS (EC2, Lambda, S3, DynamoDB, etc.)
 </li>
 <li>
 Write clean, maintainable, and efficient code following best practices.
 </li>
 <li>
 Participate in code reviews, debugging, and troubleshooting issues.
 </li>
 <li>
 Optimize applications for maximum speed, performance, and scalability.
 </li>
 <li>
 Contribute to architectural decisions and improve development workflows.
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Must-have:
 
 
 
 <ul>
 <li>
 Min. 2 to 4 years of professional experience as a Full Stack Engineer or Software Engineer.
 </li>
 <li>
 Strong proficiency in JavaScript/TypeScript with expertise in Next.js
 </li>
 <li>
 Hands-on experience with n8n for workflow automation and integrations.
 
 
 
 </li>
 </ul>
 
 Strongly Preferred:
 
 
 
 <ul>
 <li>
 Experience with relational databases (e.g., PostgreSQL) and general familiarity with database design &amp; queries.
 </li>
 <li>
 Solid understanding of backend development using Node.js.
 </li>
 <li>
 Experience building and consuming RESTful APIs.
 </li>
 <li>
 Knowledge of version control systems (e.g., Git).
 </li>
 <li>
 Exposure to CI/CD pipelines and DevOps practices.
 </li>
 <li>
 Understanding of authentication, security best practices, and API integrations.
 </li>
 <li>
 Experience deploying applications on Vercel.
 </li>
 <li>
 Familiarity with AWS (EC2, S3, Route53, etc.) for routing, domain, or infrastructure setup.
 </li>
 <li>
 Prior experience building SaaS products or MVPs.
 </li>
 <li>
 Comfort with AI-powered development tools to speed up coding, debugging, and testing.
 
 </li>
 </ul>
</div>

Full Stack Engineer - Bricks

Haq BPO Solutions

Location: DHA 5, LahoreAbout the Role:Infinity Edge Technologies is hiring a Senior Data Engineer to join our growing Data Engineering team. This is a great opportunity for someone with over 3 years of experience looking to expand their skills in modern data platforms, tools, and cloud technologies.As a Senior Data Engineer, you'll play a vital role in building scalable data pipelines and helping us build a reliable data infrastructure to support analytics, reporting, and AI/ML initiatives. You&rsquo;ll work closely with engineering, analytics, and DevOps teams to deliver quality data products and enable smarter business decisions.Key Responsibilities&#9679; Build and maintain reliable, scalable ETL/ELT pipelines using tools like DBT, Airflow, or Matillion&#9679; Develop complex SQL queries for data extraction, transformation, and reporting&#9679; Work on cloud platforms like GCP, AWS, or Azure and services like BigQuery, Snowflake, or S3&#9679; Collaborate with cross-functional teams to design and implement new data models&#9679; Support data quality and data governance processes&#9679; Create and maintain technical documentation and participate in code reviews&#9679; Integrate and automate data ingestion from multiple sources (APIs, internal systems, third-party platforms)&#9679; Ensure proper access controls, security, and compliance (HIPAA, if applicable) Required Skills &amp; Qualifications&#9679; 3+ years of experience in Data Engineering, ETL/ELT processes, or Data Warehousing&#9679; Strong command over SQL, Python, and scripting for data transformation&#9679; Experience with at least one cloud platform (AWS, GCP, Azure)&#9679; Hands-on experience with modern tools like DBT, Airflow, Fivetran, Snowflake, BigQuery, etc.&#9679; Good understanding of data modeling, data governance, and data quality practices&#9679; Experience working in Agile environments and CI/CD pipelines&#9679; Comfortable working in cross-functional teams and fast-paced environments BI, Reporting &amp; Visualization: &#9679; Tableau, Power BI, Looker, Amazon QuickSight&#9679; SQL Reporting, Business KPI DashboardsData Modeling &amp; Performance:&#9679; Star Schema, Snowflake Schema, Data Vault&#9679; Dimensional Modeling, Normalization/Denormalization&#9679; Query Optimization, Indexing, Caching, Partitioning&#9679; dbt SQL TransformationsPreferred (Nice to Have)&#9679; DBT or Snowflake Certification&#9679; Knowledge of FHIR, healthcare data models, or working with regulated domains (e.g., healthcare, banking)&#9679; Experience with Docker, Kubernetes, or big data technologies like Kafka, pySpark&#9679; Understanding of data security, IAM policies, and compliance frameworksJob Type: Full-timePay: Rs300,000.00 - Rs350,000.00 per monthAbility to commute/relocate:<ul><li>Lahore: Reliably commute or planning to relocate before starting work (Preferred)</li></ul>Experience:<ul><li>4years: 3 years (Preferred)</li></ul>Work Location: In person

Senior Data Engineer

Connect Sol Pakistan

Job DescriptionPosition Summary:We are looking for a meticulous and detail-oriented Data Engineer/Analyst to manage the data backbone of our &quot;Prime&quot; AI tool. You will be responsible for the entire data lifecycle, from sourcing and cleaning disparate datasets to structuring them for optimal use by our AI agent. Your work is critical to ensuring the accuracy, reliability, and depth of the insights Prime provides.Job Description:<ul><li>Strong Python background</li><li>Experience in FastAPI, Django for serving AI models.</li><li>Solid grasp of AI/ML libraries like PyTorch, TensorFlow, Scikit-learn.</li><li>Designing reasoning agents, LLMs, and backend infrastructure.</li><li>Leadership experience (guiding a team of ML/AI engineers).</li><li>Expertise in ETL pipelines, APIs, data cleaning &amp; structuring.</li><li>Python for automation</li><li>SQL + Pandas + Spark/Databricks.</li><li>Deploying pipelines in cloud (AWS/GCP/Azure).</li></ul>Sometimes overlap with backend (FastAPI/Django helps here).What we are looking for?<ul><li>Bachelor's degree in Computer Science, Software Engineering, or a related technical field. (Equivalent practical experience will be considered)</li><li>Python, C++, TypeScript.</li><li>Docker, Flask, SQLAlchemy, RQ, NumPy, Pandas, Alembic, React, D3, Plot.ly, Jenkins, Jira, Confluence, Microsoft 365, Git, Visual Studio, PyCharm, Gurobi, PuLP, PostgreSQL, Boto, Zappa</li><li>AWS</li><li>Demonstrated experience in developing large web-based applications.</li><li>Demonstrated technical leadership experience (leading project teams and providing technical direction)</li><li>Solid experience writing JavaScript and Python</li><li>Experience architecting and developing distributed, service-based systems</li><li>Demonstrated experience in liaising with multiple stakeholders to deliver software solutions</li><li>Modern JavaScript (ES6)</li><li>Experience with browser testing frameworks such as Cypress or Selenium.</li><li>Knowledge of modern browser technologies</li><li>Test frameworks like TOX</li><li>AWS, servers, deploying applications</li></ul>Job Type: Full-timePay: Rs70,000.00 - Rs200,000.00 per monthEducation:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>Python Developer: 3 years (Preferred)</li></ul>Language:<ul><li>Urdu and English (Preferred)</li></ul>Location:<ul><li>Lahore (Preferred)</li></ul>Work Location: In person

Python Developer

Physicians Revenue Group

Role Summary:We are looking for a skilled backend engineer with experience in healthcare data standards, particularly X12 837P/I/D claims. The engineer will be responsible for building a robust parser and exposing it via secure and scalable REST APIs.Key Responsibilities:<ul><li>Design and implement a parser for X12 837 5010 (P/I/D) claim formats.</li><li>Build scalable RESTful API endpoints for integration with external systems.</li><li>Manage data ingestion, validation and conversion to structured formats (e.g., JSON).</li><li>Collaborate with QA, analysts and other developers to ensure robust and maintainable code.</li><li>Write unit tests and API documentation.</li></ul>Requirements:<ul><li>Bachelor's/Master&rsquo;s degree in Computer Science, Software Engineering,</li></ul>or a related field from a well-reputed university.<ul><li>5+ years of working knowledge in software development lifecycle</li></ul>environment.<ul><li>Hand-on experience architecting large-scale, enterprise-level web</li></ul>applications from the ground up.<ul><li>Experience in Design and implement scalable microservices using Python.</li><li>Experience working on large-scale databases. (AWS PostgresSQL)</li><li>Experience with designing, building, and implementing RESTful and GraphQL APIs.</li><li>Expertise in object-oriented and service-oriented design concepts and</li></ul>strong knowledge of SOLID Principles.<ul><li>Implement messaging queues and event-driven communication using</li></ul>Kafka, RabbitMQ, or AWS SNS/SQS.<ul><li>Good Exposure with SQL Query optimization and performance</li></ul>improvements.<ul><li>Experience working with both relational (Aurora PostgreSQL) and</li><li>Experience in Problem solving and troubleshooting techniques.</li><li>Experience working in an Agile environment.</li><li>Ability to communicate technical concepts to stakeholders.</li><li>Great team player and able to work efficiently with minimal supervision.</li><li>Participates in the code review process for learning purposes</li><li>Hands-on experience working with CI/CD processes and experience with</li><li>DevOps methodologies (Docker, Jenkins, Kubernetes)</li><li>Work closely with frontend (React, React Native) and DevOps teams to</li><li>build a seamless development workflow.</li></ul>Job Type: Full-timeWork Location: In person

Senior Python Developer

Explore 884+ Aws data engineer in Lahore this September. Find roles across top companies and apply now to boost your career.

884 aws data engineer jobs IN Lahore

AWS Data Engineer

AWS Data Engineer

Sr. AWS AI Engineer

Full Stack Engineer - Bricks

Senior Data Engineer

Python Developer

Senior Python Developer