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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>
AKibWGHF17</div>

H2o Labs

Data EngineerTiming: 05:00 PM to 02:00 AMJob Type: Full-Time (On-site)Location: Johar TownAbout the Role We are looking for a highly skilled and versatile Data Engineer to join our team. The ideal candidate will have expertise in building and maintaining scalable data infrastructure, focusing on data pipelines, cloud technologies, and data processing systems. This role requires hands-on experience in designing and deploying reliable, high-performance data solutions that meet the demands of large-scale operations. Key Responsibilities:<ul><li>Data Infrastructure &amp; Pipeline Development:</li><li>Design, build, and maintain efficient, scalable, and robust data pipelines for data extraction, transformation, and loading (ETL).</li><li>Develop and optimize SQL queries for complex data processing and ensure high data quality.</li><li>Implement and manage automated data workflows using orchestration tools like Airflow.</li><li>Cloud Data Platforms:</li><li>Work extensively with cloud-based platforms like AWS, Azure, or GCP to build and manage data infrastructure.</li><li>Utilize services such as Azure Data Factory, AWS Glue, BigQuery, or similar tools for data ingestion, transformation, and storage.</li><li>Implement monitoring, logging, and alerting to ensure continuous data pipeline performance and reliability.</li><li>Data Modeling &amp; Warehousing:</li><li>Design and implement dimensional models and maintain data warehouses to support business intelligence and analytics.</li><li>Develop and manage data schemas, ensuring consistency and integrity across systems.</li><li>Optimize data storage, querying, and retrieval processes to meet business needs.</li><li>Data Processing &amp; Stream Handling:</li><li>Build real-time data pipelines using tools like Apache Kafka, Spark, or similar technologies for data stream processing.</li><li>Handle large datasets and complex transformations to support analytical workflows and reporting.</li></ul>Key Skills &amp; Qualifications:<ul><li>Bachelor's degree in Computer Science, Data Engineering, or a related field (or equivalent experience).</li><li>Proficiency in SQL, with hands-on experience in complex queries, joins, and optimizations.</li><li>Strong experience with cloud platforms (AWS, Azure, GCP), with tools like Azure Data Factory, AWS Glue, BigQuery, or similar.</li><li>Expertise in building and maintaining scalable ETL pipelines using tools like Airflow, DBT, or Spark.</li><li>Experience with data modeling and warehousing, including dimensional modeling, schema design, and data integrity management.</li><li>Familiarity with stream processing technologies like Kafka and Spark.</li><li>Hands-on experience with containerization tools like Docker and orchestration platforms like Kubernetes.</li><li>Strong problem-solving skills and the ability to troubleshoot and optimize complex data workflows.</li><li>Experience with data security, governance, and compliance standards.</li><li>Strong communication skills to collaborate effectively with technical and non-technical teams.</li></ul>Preferred Skills:<ul><li>Experience with data visualization tools (e.g., Power BI, Tableau) for creating dashboards and reporting.</li><li>Familiarity with Python for data transformations, automation, and scripting.</li><li>Experience with metadata management and data cataloguing tools.</li><li>Familiarity with monitoring tools like Datadog, Prometheus, or Grafana.</li></ul>Benefits<ul><li>Commissions- On Success fulling closing of project</li><li>Meal Facility &ndash; Enjoy delicious meals at the office.</li><li>Gym Facility &ndash; Stay active with access to our partner gym.</li><li>Health Support &ndash; Get free medical consultations when needed.</li><li>Restaurant Perks &ndash; Enjoy special discounts and offers through our restaurant collaborations.</li></ul>Job Type: Full-timePay: Rs150,000.00 - Rs250,000.00 per monthWork Location: In person

Data Engineer

Devsinc

<div>
 Devsinc is seeking a talented
 
 Data Engineer
 
 having minimum of
 
 2 years of professional experience
 
 to join our growing data team. In this role, you will design and build scalable data pipelines, work with modern cloud platforms, and lay the foundation for analytics that drive critical business decisions. From day one, you'll learn from senior engineers, work with a modern cloud stack, and see your contributions make a tangible impact.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Design, develop, and maintain automated ETL/ELT data pipelines for structured and unstructured datasets.
 </li>
 <li>
 Build and optimize scalable, secure, and cost-efficient cloud data solutions using AWS, Azure, or GCP.
 </li>
 <li>
 Model, cleanse, and transform data to support analytics, dashboards, and reporting use-cases.
 </li>
 <li>
 Implement automated testing, monitoring, and alerting to ensure high data quality and reliability.
 </li>
 <li>
 Develop high-performance Python-based services and utilities for data ingestion and processing.
 </li>
 <li>
 Work with APIs, event-driven systems, and streaming platforms for real-time data workflows.
 </li>
 <li>
 Collaborate with cross-functional teams (Data Science, Backend, DevOps, Product) to gather requirements and deliver tailored data solutions.
 </li>
 <li>
 Follow strong software engineering best practices &mdash; clean code, modularity, version control, CI/CD.
 </li>
 <li>
 Document architecture, data flows, schemas, and development standards.
 </li>
 <li>
 Stay updated on evolving data engineering tools, frameworks, and cloud-native technologies
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Software Engineering, or a related field.
 </li>
 <li>
 Minimum 2 years of professional experience
 </li>
 <li>
 Strong knowledge of Python and SQL for data processing and transformation.
 </li>
 <li>
 Hands-on experience with at least one major cloud platform &mdash; AWS, GCP, or Azure.
 </li>
 <li>
 Exposure to cloud-native data services such as AWS Glue, Redshift, Azure Data Factory, BigQuery, Synapse, etc.
 </li>
 <li>
 Familiarity with modern data warehouses &mdash; Snowflake, Redshift, BigQuery, or Synapse.
 </li>
 <li>
 Strong understanding of ETL/ELT frameworks such as dbt, Apache Spark, or Databricks.
 </li>
 <li>
 Experience working with orchestration tools like Apache Airflow, Azure Data Factory Pipelines, or AWS Glue Workflows.
 </li>
 <li>
 Proficiency with version control systems (GitHub, GitLab, Bitbucket) and CI/CD pipelines.
 </li>
 <li>
 Solid understanding of Data Lake architectures (S3, ADLS, GCS) and schema design principles.
 </li>
 <li>
 Basic understanding of data governance, security, compliance, and access management concepts.
 </li>
 <li>
 Familiarity with streaming platforms such as Kafka, Amazon Kinesis, or Google Pub/Sub
 </li>
 <li>
 Collaborative - open to knowledge-sharing and teamwork.
 </li>
 <li>
 Team Player - willing to support peers and contribute to collective success.
 </li>
 <li>
 Growth Minded - eager to learn, improve, and adapt to emerging technologies.
 </li>
 <li>
 Adaptable - flexible in dynamic, fast-paced environments.
 </li>
 <li>
 Customer-Centric - focused on delivering solutions that create real business value
 </li>
 </ul>
</div>

Software Data Engineer

<div>
 We're looking for a Senior Engineer with strong security experience (Data Privacy &amp; Compliance) with strong experience in Python, Terraform, and AWS.
 
 
 You'll play a key role in designing and maintaining secure and compliant infrastructure, automating compliance controls, and ensuring our systems meet global data privacy and security standards such as SOC 2, GDPR, and ISO 27001 etc.
 
 
 While your core focus will be on infrastructure security, compliance automation, and AWS, you may be required to develop other technology based modules such as Python, Ruby on Rails, internal documentation, or broader DevSecOps initiatives.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Architect security and data privacy solutions, setup infrastructure, develop common capabilities, document uptake recipes and enable other developers uptake
 </li>
 <li>
 Observe and monitor IT security and improve security operations on on-going basis in collaboration with the rest of the security and IT operations team
 </li>
 <li>
 Implement security guardrails and baselines using Terraform and AWS native controls (Config, IAM, KMS, CloudTrail, Security Hub)
 </li>
 <li>
 Develop and maintain Python-based automation for compliance validation, audit data collection, and remediation workflows
 </li>
 <li>
 Contribute to secure CI/CD, BAU practices and integrate policy-as-code
 </li>
 <li>
 Map and operationalize controls for GDPR, SOC 2, ISO 27001, PCI DSS, etc
 </li>
 <li>
 Apply privacy-by-design principles for data storage, access control, and retention
 </li>
 <li>
 work with third parties, standards and compliance bodies to achieve industry certifications and maintain/improve the companies certification and compliance levels
 </li>
 <li>
 Occasionally support Python and Rails applications by advising on secure configurations and dependencies
 </li>
 <li>
 Help maintain documentation of security architecture, risk assessments, and compliance procedures
 </li>
 <li>
 Partner with DevOps and Engineering teams to embed security and compliance early in design
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Proficient in Python for automation, scripting, and AWS SDK (boto3) integrations
 </li>
 <li>
 Strong experience with Terraform and infrastructure-as-code best practices
 </li>
 <li>
 Deep understanding of general cloud security and AWS security services (IAM, KMS,
 </li>
 <li>
 CloudTrail, Config, Security Hub, GuardDuty)
 </li>
 <li>
 Solid understanding of network security, identity management, and data protection
 </li>
 <li>
 Experience in regulated or audit-driven environments (finance, SaaS etc.)
 </li>
 <li>
 Experience implementing security monitoring, incident response automation, or
 </li>
 <li>
 Awareness of data privacy and compliance frameworks (GDPR, SOC 2, ISO 27001)
 </li>
 <li>
 Interest in compliance-as-code, privacy-by-design, or DevSecOps pipelines
 </li>
 <li>
 Strong communication, team mentoring, process management, documentation and
 </li>
 <li>
 Prior experience working in compliance-sensitive or regulated environments (finance, SaaS, healthcare)
 </li>
 <li>
 Exposure to Zero Trust architecture concepts and identity-based access design
 </li>
 <li>
 Knowledge of policy-as-code or security automation (OPA, Checkov, tfsec, Sentinel)
 </li>
 <li>
 Familiarity with Web apps, including Rails application security (headers, CSRF, secrets management)
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 Provident Fund, Medical Inpatient Facility, Medical Outpatient Facility, Paid Overtime, In-house Subsidized Lunch &amp; Dinner, Gym Facility, Entertaining Activities, Interest Free Loan Facility, Advance Salaries and Sports Allowance.
</div>

Senior Engineer - Infra, Compliance & Security

Tkxel

<div>
 
 As a Database Engineer (SQL), you will play a key role in
 
 designing, optimizing, and scaling
 
 our database infrastructure. You will collaborate closely with engineers, data analysts, and product teams to improve the current database architecture and build new high-performance, scalable, and secure databases tailored to our business needs.
 
 
 <ul>
 <li>
 
 Design, develop, and optimize highly scalable database architectures with a focus on
 
 PostgreSQL
 
 .
 
 
 </li>
 <li>
 
 Lead the
 
 migration, optimization, and restructuring
 
 of existing databases to ensure efficiency and scalability.
 
 
 </li>
 <li>
 
 Implement and enforce database best practices, including indexing, partitioning, query optimization, and normalization.
 
 
 </li>
 <li>
 
 Define and execute
 
 high-availability and disaster recovery
 
 strategies.
 
 
 </li>
 <li>
 
 Work closely with engineering teams to ensure efficient database schema design and support the development of new features.
 
 
 </li>
 <li>
 
 Monitor and troubleshoot database performance, identifying and resolving bottlenecks.
 
 
 </li>
 <li>
 
 Ensure data security and compliance with industry standards, implementing encryption, access control, and auditing policies.
 
 
 </li>
 <li>
 
 Optimize stored procedures, triggers, and functions for maximum efficiency.
 
 
 </li>
 </ul>
 
 
 
 
 Technology Stack:
 
 
 <ul>
 <li>
 
 
 Database:
 
 PostgreSQL (Primary), AWS RDS, SQL.
 
 
 </li>
 <li>
 
 
 Big Data &amp; ETL:
 
 Apache Kafka, Airflow, dbt, Snowflake (nice to have).
 
 
 </li>
 <li>
 
 
 Performance Optimization:
 
 Indexing, Partitioning, Query Optimization, Caching.
 
 
 </li>
 <li>
 
 
 Security:
 
 Data Encryption, Role-Based Access Control (RBAC), Auditing.
 
 
 </li>
 <li>
 
 
 Tools &amp; DevOps:
 
 Liquibase, Flyway, Terraform, Kubernetes (for DB management).
 
 
 </li>
 <li>
 
 
 Scripting &amp; Programming:
 
 SQL, PL/pgSQL, Python, Bash.
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 
 Methodologies:
 
 Agile, Scrum.
 
 
 
 
 
 </li>
 </ul>
 Requirements
 
 
 
 <ul>
 <li>
 
 
 3+ years of experience
 
 as a
 
 Database Developer
 
 , focusing on PostgreSQL.
 
 
 </li>
 <li>
 
 Proven expertise in designing, optimizing, and managing
 
 large-scale, high-performance databases
 
 .
 
 
 </li>
 <li>
 
 Strong knowledge of
 
 AWS database services
 
 (RDS, Aurora, EC2-based PostgreSQL instances) and
 
 on-premise PostgreSQL
 
 deployments.
 
 
 </li>
 <li>
 
 Experience implementing HA (High Availability) &amp; replication strategies (e.g., Patroni, PgBouncer, Streaming Replication).
 
 
 </li>
 <li>
 
 Deep understanding of query optimization, partitioning, indexing, caching, and concurrency control.
 
 
 </li>
 <li>
 
 Proficiency in backup/recovery strategies and disaster recovery planning.
 
 
 </li>
 <li>
 
 Hands-on experience with
 
 CI/CD pipelines
 
 and
 
 Infrastructure as Code
 
 tools like Terraform, Ansible, or AWS CloudFormation.
 
 
 </li>
 <li>
 
 Experience in
 
 database security
 
 ,
 
 ETL pipelines and data warehousing
 
 .
 
 
 </li>
 <li>
 
 Proficiency in
 
 SQL, PL/pgSQL
 
 , and scripting languages like
 
 Python
 
 or
 
 Bash
 
 for automation.
 
 
 </li>
 <li>
 
 Familiarity with monitoring and alerting tools (AWS CloudWatch, Prometheus, Grafana, Datadog).
 
 
 </li>
 <li>
 
 Excellent English communication skills, with the ability to collaborate effectively with both technical and non-technical teams.
 
 
 </li>
 </ul>
</div>

Database Engineer (SQL)

NorthBay Solutions

<div>Job Title: Senior DevOps Engineer (AWS) 
Location: Lahore/Karachi/Islamabad 
Experience: 4 - 6 years
We are looking for an experienced AWS DevOps / Platform Engineer to join our Managed Services team. The ideal candidate will be responsible for supporting, optimizing, and enhancing our customers&rsquo; AWS environments with a strong focus on ECS, CI/CD, Infrastructure as Code AWS CDK, and AWS monitoring/operations.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Manage, operate, and troubleshoot AWS ECS workloads, containerized applications, task deployments, service scaling, and health monitoring.</li><li>
Develop, maintain, and optimize CI/CD pipelines using AWS CodePipeline, including integration with CodeBuild, CodeDeploy, and other supporting services.</li><li>
Build and maintain cloud infrastructure using AWS CDK, ensuring best practices for IaC, security, and scalability.</li><li>
Participate in day-to-day operational support as part of the AWS Managed Services function, ensuring high availability and reliability of customer workloads.</li><li>
Implement and support AWS monitoring &amp; alerting stacks such as:<ul><li>
Amazon CloudWatch (logs, metrics, alarms, dashboards)</li><li>
AWS SNS / EventBridge for notifications</li></ul></li><li>
Troubleshoot production issues, perform root-cause analysis, and recommend improvements.</li><li>
Participate in on-call rotation (if applicable) and ensure timely resolution of platform incidents.</li><li>
Work closely with development teams to ensure smooth deployments and platform stability.</li><li>
Optional: Support and deploy lightweight web applications on Netlify where required.</li></ul>
Required Skills &amp; Experience<ul><li>
4&ndash;6 years of experience in AWS DevOps, Cloud Operations, or Platform Engineering roles.</li><li>
Strong hands-on experience with Amazon ECS (services, tasks, ALB/NLB, autoscaling, service mesh optional).</li><li>
Solid experience with AWS CodePipeline, CodeBuild, and CodeDeploy.</li><li>
Proficiency in AWS CDK for IaC.</li><li>
Good understanding of logging, monitoring, and alerting across AWS platforms.</li><li>
Solid understanding of networking fundamentals (VPC, subnets, security groups, load balancers).</li><li>
Ability to troubleshoot containerized applications and pipeline failures.</li><li>
Experience with IAM policies, roles, and security best practices.</li></ul>
Nice-to-Have Skills<ul><li>
Experience with Netlify for managed frontend deployments.</li><li>
Familiarity with container image optimization and ECR.</li><li>
Experience with operational playbooks/runbooks in a managed services context.</li></ul>
Soft Skills<ul><li>
Strong communication and customer-facing skills.</li><li>
Ability to work proactively in a fast-paced managed services environment.</li><li>
Excellent troubleshooting and analytical thinking.</li><li>
Ownership mindset with a focus on reliability and continuous improvement.</li></ul> 

4bZoIC4Q1t</div>

Senior AWS DevOps / Platform Engineer

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1259 aws data engineer jobs IN Lahore

AWS Data Engineer

AWS Data Engineer

Data Engineer

Software Data Engineer

Senior Engineer - Infra, Compliance & Security

Database Engineer (SQL)

Senior AWS DevOps / Platform Engineer