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associate implementation engineer

Obizworks-Offshore Business Consultants

Title: Associate Implementation EngineerQualification: Bachelor in CS/IT or related fieldExperience: 1+ years IT support / systems administration experienceCore Experience:<ul><li>Solid hands-on experience with Windows Server and core associated technologies (ADDS, DNS, DHCP).</li><li>Skilled with firewalls, switches, access points; hardware troubleshooting for peripherals &amp; servers</li><li>Basic experience with Microsoft 365 &amp; virtualization platforms</li><li>Proficient in RMM tools: ConnectWise, Kaseya, N-able</li><li>Solid English communication for client interaction &amp; documentation</li></ul>Bonus Points:<ul><li>Prior experience working in a multi-client or healthcare support environment.</li><li>Experience with RMM and PSA tools such as ConnectWise, Datto, or N-able.</li><li>Certifications such as CompTIA (Network+, Security+) or Microsoft Fundamentals (AZ-900, MS-900).</li></ul>Salary: 120k - 150k ( Depends on skills &amp; Experience )Timings: 6pm - 3am PST ( Full time, onsite job )Location: Bahria Town phase 7 Rawalpindi<ul><li>Performance Expectations </li><li>Complete deployments and migrations on time with minimal client disruption.</li><li>Produce documentation that meets MSP standards and ensures seamless support handovers.</li><li>Actively build expertise in enterprise technologies and achieve positive client satisfaction scores.</li><li>Meet or exceed SLA response and resolution times for project-related tickets.</li></ul>Job Type: Full-timePay: Rs120,000.00 - Rs150,000.00 per monthWork Location: In person

Associate Implementation Engineer

Fusemachines

<div>
 
 About Fusemachines
 
 
 
 Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, United States, Canada, and Dominican Republic and more than 450 full-time employees). Fusemachines seeks to bring its global expertise in AI to transform companies around the world.
 
 
 
 Type: Full-time, Remote
 
 
 
 
 About The Role
 
 
 
 This is a remote full-time position responsible for designing, building, testing, optimizing and maintaining the infrastructure and code required for data integration, storage, processing, pipelines and analytics (BI, visualization and Advanced Analytics) from ingestion to consumption, implementing data flow controls, and ensuring high data quality and accessibility for analytics and business intelligence purposes. This role requires a strong foundation in programming, and a keen understanding of how to integrate and manage data effectively across various storage systems and technologies.
 
 
 We are looking for a skilled Data Engineer with a strong background in Python, SQL, Pyspark and AWS cloud-based large scale data solutions with a passion for data quality, performance and cost optimization. The ideal candidate will develop in an Agile environment.
 
 
 This role is perfect for an individual passionate about leveraging data to drive insights, improve decision-making, and support the strategic goals of the organization through innovative data engineering solutions.
 
 
 Qualification &amp; Experience
 
 
 <ul>
 <li>
 Must have a full-time Bachelor's degree in Computer Science Information Systems, Engineering, or a related field
 </li>
 <li>
 At least 2 years of experience as a data engineer with strong expertise in Python, SQL, PySpark and AWS in an Agile environment, with a proven track record of building and optimizing data pipelines, architectures, and datasets, and proven experience in data storage, modeling, management, lake, warehousing, processing/transformation, integration, cleansing, validation and analytics
 </li>
 <li>
 2+ years of experience with DevOps tools and technologies: GitHub or AWS DevOps
 </li>
 <li>
 Proven experience delivering large scale projects and products for Data and Analytics, as a data engineer within AWS
 </li>
 <li>
 Preferred previous experience working with retail or other similar data models
 </li>
 <li>
 Following certifications:
 </li>
 <ul>
 <li>
 AWS Certified Cloud Practitioner
 </li>
 <li>
 AWS Certified Data Engineer - Associate
 </li>
 <li>
 Nice to have:
 </li>
 <ul>
 <li>
 Databricks Certified Associate Developer for Apache Spark
 </li>
 <li>
 Databricks Certified Data Engineer Associate
 
 </li>
 </ul>
 </ul>
 </ul>
 
 Required Skills/Competencies
 
 
 
 <ul>
 <li>
 Strong programming Skills in one or more object-oriented languages such as Python (must have), Scala, Java, and proficiency in writing high-quality, scalable, maintainable, efficient and optimized code for data integration, storage, processing, manipulation and analytics solutions.
 </li>
 <li>
 Strong SQL skills and experience working with complex data sets, Enterprise Data Warehouse and writing advanced SQL queries. Proficient with Relational Databases (RDS, MySQL, Postgres, or similar) and NonSQL Databases (Cassandra, MongoDB, Neo4j, etc.)
 </li>
 <li>
 Strong analytic skills related to working with structured and unstructured datasets
 </li>
 <li>
 Thorough understanding of big data principles, techniques, and best practices
 </li>
 <li>
 Experience with scalable and distributed Data Processing Technologies such as Spark/PySpark (must have including Spark SQL) and Kafka, to be able to handle large volumes of data
 </li>
 <li>
 Experience with stream-processing systems: Storm, Spark-Streaming, etc. is a plus
 </li>
 <li>
 Experience in implementing data pipelines and efficient ELT/ETL processes, batch and real-time, in AWS and using open source solutions, being able to develop custom integration solutions as needed, including Data Integration from different sources such as APIs (PoS integrations is a plus), ERP (Oracle and Allegra are a plus), databases, flat files, Apache Parquet, event streaming, including cleansing, transformation and validation of the data
 </li>
 <li>
 Experience in data cleansing, transformation, and validation
 </li>
 <li>
 Understanding of Data Modeling and Database Design Principles. Being able to implement efficient database schemas that meet the requirements to support data solutions. With good understanding of dimensional data modeling
 </li>
 <li>
 Knowledge in cloud computing specifically in AWS services related to data and analytics, such as S3, EMR, Glue, SageMaker, RDS, Redshift, Lambda, Kinesis, Lake Formation, EC2, ECS/ECR, EKS, IAM, CloudWatch, etc. implementing Data Warehousing, data lake and data lake house, solutions in AWS
 </li>
 <li>
 Experience in Orchestration using technologies like Azkaban, Luigi, Airflow, etc.
 </li>
 <li>
 Good understanding of BI solutions including Looker and LookML (Looker Modeling Language)
 </li>
 <li>
 Familiar with advanced analytics, AI/ML services and tools, and the ability to integrate advanced analytics, machine learning, and AI capabilities into data solutions, nice to have
 </li>
 <li>
 Strong understanding of the software development lifecycle (SDLC), especially Agile methodologies
 </li>
 <li>
 Knowledge of SDLC tools and technologies, including project management software (Jira or similar), source code management (GitHub, AWS CodeCommit or similar), CI/CD system (GitHub actions, Jenkins, AWS CodePipeline or similar) and binary repository manager (Sonatype Nexus, AWS CodeArtifact or similar).
 </li>
 <li>
 Knowledge and hands-on experience of DevOps principles, tools and technologies (GitHub and AWS DevOps) including continuous integration, continuous delivery (CI/CD), infrastructure as code (IaC &ndash; Terraform), configuration management, automated testing, performance tuning and cost management and optimization
 </li>
 <li>
 Knowledge of data structures and algorithms and good software engineering practices
 </li>
 <li>
 Strong analytical skills to identify and address technical issues, performance bottlenecks, and system failures
 </li>
 <li>
 Proficiency in debugging and troubleshooting issues in complex data and analytics environments and pipelines
 </li>
 <li>
 Understanding of Data Quality and Governance, including implementation of data quality and integrity checks and monitoring processes to ensure that data is accurate, complete, and consistent.
 </li>
 <li>
 Good Problem-Solving skills: being able to troubleshoot data processing pipelines and identify performance bottlenecks and other issues.
 </li>
 <li>
 Strong interpersonal skills and ability to work with a wide range of stakeholders
 </li>
 <li>
 Excellent communication skills to collaborate with cross-functional teams, including business users, data architects, DevOps/DataOps/MLOps engineers, data analyst, data scientists, developers, and operations teams. Essential to convey complex technical concepts and insights to non-technical stakeholders effectively
 </li>
 <li>
 Ability to document processes, procedures, and deployment configurations
 </li>
 <li>
 Understanding of security practices, including network security groups, encryption, and compliance standards, and ability to implement security controls and best practices within data and analytics solutions, including proficient knowledge and working experience on various cloud security vulnerabilities and ways to mitigate them.
 </li>
 <li>
 Self-motivated with the ability to work well in a team
 </li>
 <li>
 Strong project management and organizational skills
 </li>
 <li>
 A willingness to stay updated with the latest services, Data Engineering trends, and best practices in the field
 </li>
 <li>
 Comfortable with picking up new technologies independently and working in a rapidly changing environment with ambiguous requirements
 </li>
 <li>
 Care about architecture, observability, testing, and building reliable infrastructure and data pipelines
 
 
 </li>
 </ul>
 Responsibilities:
 
 
 <ul>
 <li>
 Design, implement, deploy, test and maintain highly scalable and efficient data architectures, defining and maintaining standards and best practices for data management independently with minimal guidance
 </li>
 <li>
 Ensure systems meet business requirements and industry practices for data integrity, performance, and reliability
 </li>
 <li>
 Integrate new data management technologies and software engineering tools into existing structures
 </li>
 <li>
 Create custom software components and analytics applications
 </li>
 <li>
 Employ a variety of languages and tools to marry systems together or try to hunt down opportunities to improve current processes
 </li>
 <li>
 Evaluate and advise on technical aspects of open work requests in the data pipeline with the project team
 </li>
 <li>
 Handle ELT/ETL processes, including data extraction, loading and transformation, from different sources ensuring consistency and quality
 </li>
 <li>
 Transform and clean data for further analysis and storage
 </li>
 <li>
 Design and optimize data models and schemas to support business requirements and analysis
 </li>
 <li>
 Implement monitoring tools and systems to ensure the availability and performance of data systems.
 </li>
 <li>
 Manage data security and access, ensuring confidentiality and integrity
 </li>
 <li>
 Automate repetitive tasks and processes to improve operational efficiency
 </li>
 <li>
 Collaborate with data science teams to establish pipelines and workflows for training, validation, deployment, and monitoring of machine learning models. Automate deployment and management of machine learning models in production environments
 </li>
 <li>
 Contribute to data quality assurance efforts, such as implementing data validation checks and tests to ensure reliability, efficiency, accuracy, completeness and consistency of data
 </li>
 <li>
 Test software solutions and meet product quality standards prior to release to QA
 </li>
 <li>
 Ensure the reliability, scalability, and efficiency of data systems are maintained at all times. Identifying and resolving performance bottlenecks in pipelines due to data, queries and processing workflows to ensure efficient and timely data delivery
 </li>
 <li>
 Work with DevOps teams to optimize resources
 </li>
 <li>
 Assist in the configuration and management of data warehousing and data lake solutions
 </li>
 <li>
 Collaborate closely with cross-functional teams including Product, Engineering, Data Scientists, and Analysts to thoroughly understand data requirements and provide data engineering support and extend the company&rsquo;s data with third-party sources of information when needed
 </li>
 <li>
 Takes ownership of storage layer, database management tasks, including schema design, indexing, and performance tuning
 </li>
 <li>
 Evaluate and implement cutting-edge technologies and methodologies and continue learning and expanding skills in data engineering and cloud platforms, to improve and modernize existing data systems
 </li>
 <li>
 Develop, design, and execute data governance strategies encompassing cataloging, lineage tracking, quality control, and data governance frameworks that align with current analytics demands and industry best practices working closely with Data Architect
 </li>
 <li>
 Ensure technology solutions support the needs of the customer and/or organization
 </li>
 <li>
 Define and document data engineering architectures, processes and data flows
 
 
 </li>
 </ul>
 Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
 
 
 Powered by JazzHR
 
 
 U5JnLDyyUm
</div>

Data Engineer

<div>About Fusemachines
Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, United States, Canada, and Dominican Republic and more than 450 full-time employees). Fusemachines seeks to bring its global expertise in AI to transform companies around the world. 
 
Type: Full-time, Remote
About the role
This is a remote full-time position responsible for designing, building, testing, optimizing and maintaining the infrastructure and code required for data integration, storage, processing, pipelines and analytics (BI, visualization and Advanced Analytics) from ingestion to consumption, implementing data flow controls, and ensuring high data quality and accessibility for analytics and business intelligence purposes. This role requires a strong foundation in programming, and a keen understanding of how to integrate and manage data effectively across various storage systems and technologies.
We are looking for a skilled Data Engineer with a strong background in Python, SQL, Pyspark and AWS cloud-based large scale data solutions with a passion for data quality, performance and cost optimization. The ideal candidate will develop in an Agile environment.
This role is perfect for an individual passionate about leveraging data to drive insights, improve decision-making, and support the strategic goals of the organization through innovative data engineering solutions.
Qualification &amp; Experience<ul><li>
Must have a full-time Bachelor's degree in Computer Science Information Systems, Engineering, or a related field.</li><li>
At least 2 years of experience as a data engineer with strong expertise in Python, SQL, PySpark and AWS in an Agile environment, with a proven track record of building and optimizing data pipelines, architectures, and datasets, and proven experience in data storage, modeling, management, lake, warehousing, processing/transformation, integration, cleansing, validation and analytics.</li><li>
2+ years of experience with DevOps tools and technologies: GitHub or AWS DevOps.</li><li>
Proven experience delivering large scale projects and products for Data and Analytics, as a data engineer within AWS.</li><li>
Preferred previous experience working with retail or other similar data models.</li><li>
Following certifications:<ul><li>
AWS Certified Cloud Practitioner</li><li>
AWS Certified Data Engineer - Associate</li><li>
Nice to have:<ul><li>
Databricks Certified Associate Developer for Apache Spark</li><li>
Databricks Certified Data Engineer Associate</li></ul></li></ul></li></ul>
Required skills/Competencies<ul><li>
Strong programming Skills in one or more object-oriented languages such as Python (must have), Scala, Java, and proficiency in writing high-quality, scalable, maintainable, efficient and optimized code for data integration, storage, processing, manipulation and analytics solutions.</li><li>
Strong SQL skills and experience working with complex data sets, Enterprise Data Warehouse and writing advanced SQL queries. Proficient with Relational Databases (RDS, MySQL, Postgres, or similar) and NonSQL Databases (Cassandra, MongoDB, Neo4j, etc.).</li><li>
Strong analytic skills related to working with structured and unstructured datasets.</li><li>
Thorough understanding of big data principles, techniques, and best practices.</li><li>
Experience with scalable and distributed Data Processing Technologies such as Spark/PySpark (must have including Spark SQL) and Kafka, to be able to handle large volumes of data.</li><li>
Experience with stream-processing systems: Storm, Spark-Streaming, etc. is a plus.</li><li>
Experience in implementing data pipelines and efficient ELT/ETL processes, batch and real-time, in AWS and using open source solutions, being able to develop custom integration solutions as needed, including Data Integration from different sources such as APIs (PoS integrations is a plus), ERP (Oracle and Allegra are a plus), databases, flat files, Apache Parquet, event streaming, including cleansing, transformation and validation of the data.</li><li>
Experience in data cleansing, transformation, and validation.</li><li>
Understanding of Data Modeling and Database Design Principles. Being able to implement efficient database schemas that meet the requirements to support data solutions. With good understanding of dimensional data modeling</li><li>
Knowledge in cloud computing specifically in AWS services related to data and analytics, such as S3, EMR, Glue, SageMaker, RDS, Redshift, Lambda, Kinesis, Lake Formation, EC2, ECS/ECR, EKS, IAM, CloudWatch, etc. implementing Data Warehousing, data lake and data lake house, solutions in AWS.</li><li>
Experience in Orchestration using technologies like Azkaban, Luigi, Airflow, etc..</li><li>
Good understanding of BI solutions including Looker and LookML (Looker Modeling Language)</li><li>
Familiar with advanced analytics, AI/ML services and tools, and the ability to integrate advanced analytics, machine learning, and AI capabilities into data solutions, nice to have.</li><li>
Strong understanding of the software development lifecycle (SDLC), especially Agile methodologies.</li><li>
Knowledge of SDLC tools and technologies, including project management software (Jira or similar), source code management (GitHub, AWS CodeCommit or similar), CI/CD system (GitHub actions, Jenkins, AWS CodePipeline or similar) and binary repository manager (Sonatype Nexus, AWS CodeArtifact or similar).</li><li>
Knowledge and hands-on experience of DevOps principles, tools and technologies (GitHub and AWS DevOps) including continuous integration, continuous delivery (CI/CD), infrastructure as code (IaC &ndash; Terraform), configuration management, automated testing, performance tuning and cost management and optimization.</li><li>
Knowledge of data structures and algorithms and good software engineering practices.</li><li>
Strong analytical skills to identify and address technical issues, performance bottlenecks, and system failures.</li><li>
Proficiency in debugging and troubleshooting issues in complex data and analytics environments and pipelines.</li><li>
Understanding of Data Quality and Governance, including implementation of data quality and integrity checks and monitoring processes to ensure that data is accurate, complete, and consistent.</li><li>
Good Problem-Solving skills: being able to troubleshoot data processing pipelines and identify performance bottlenecks and other issues.</li><li>
Strong interpersonal skills and ability to work with a wide range of stakeholders.</li><li>
Excellent communication skills to collaborate with cross-functional teams, including business users, data architects, DevOps/DataOps/MLOps engineers, data analyst, data scientists, developers, and operations teams. Essential to convey complex technical concepts and insights to non-technical stakeholders effectively.</li><li>
Ability to document processes, procedures, and deployment configurations.</li><li>
Understanding of security practices, including network security groups, encryption, and compliance standards, and ability to implement security controls and best practices within data and analytics solutions, including proficient knowledge and working experience on various cloud security vulnerabilities and ways to mitigate them.</li><li>
Self-motivated with the ability to work well in a team.</li><li>
Strong project management and organizational skills.</li><li>
A willingness to stay updated with the latest services, Data Engineering trends, and best practices in the field.</li><li>
Comfortable with picking up new technologies independently and working in a rapidly changing environment with ambiguous requirements.</li><li>
Care about architecture, observability, testing, and building reliable infrastructure and data pipelines.</li></ul>
Responsibilities:<ul><li>
Design, implement, deploy, test and maintain highly scalable and efficient data architectures, defining and maintaining standards and best practices for data management independently with minimal guidance.</li><li>
Ensure systems meet business requirements and industry practices for data integrity, performance, and reliability.</li><li>
Integrate new data management technologies and software engineering tools into existing structures.</li><li>
Create custom software components and analytics applications.</li><li>
Employ a variety of languages and tools to marry systems together or try to hunt down opportunities to improve current processes.</li><li>
Evaluate and advise on technical aspects of open work requests in the data pipeline with the project team.</li><li>
Handle ELT/ETL processes, including data extraction, loading and transformation, from different sources ensuring consistency and quality.</li><li>
Transform and clean data for further analysis and storage.</li><li>
Design and optimize data models and schemas to support business requirements and analysis.</li><li>
Implement monitoring tools and systems to ensure the availability and performance of data systems.</li><li>
Manage data security and access, ensuring confidentiality and integrity.</li><li>
Automate repetitive tasks and processes to improve operational efficiency.</li><li>
Collaborate with data science teams to establish pipelines and workflows for training, validation, deployment, and monitoring of machine learning models. Automate deployment and management of machine learning models in production environments.</li><li>
Contribute to data quality assurance efforts, such as implementing data validation checks and tests to ensure reliability, efficiency, accuracy, completeness and consistency of data.</li><li>
Test software solutions and meet product quality standards prior to release to QA.</li><li>
Ensure the reliability, scalability, and efficiency of data systems are maintained at all times. Identifying and resolving performance bottlenecks in pipelines due to data, queries and processing workflows to ensure efficient and timely data delivery.</li><li>
Work with DevOps teams to optimize resources.</li><li>
Assist in the configuration and management of data warehousing and data lake solutions.</li><li>
Collaborate closely with cross-functional teams including Product, Engineering, Data Scientists, and Analysts to thoroughly understand data requirements and provide data engineering support and extend the company&rsquo;s data with third-party sources of information when needed.</li><li>
Takes ownership of storage layer, database management tasks, including schema design, indexing, and performance tuning.</li><li>
Evaluate and implement cutting-edge technologies and methodologies and continue learning and expanding skills in data engineering and cloud platforms, to improve and modernize existing data systems.</li><li>
Develop, design, and execute data governance strategies encompassing cataloging, lineage tracking, quality control, and data governance frameworks that align with current analytics demands and industry best practices working closely with Data Architect.</li><li>
Ensure technology solutions support the needs of the customer and/or organization.</li><li>
Define and document data engineering architectures, processes and data flows.</li></ul>
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
U5JnLDyyUm</div>

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: Islamabad
 
 
 
 
 
 
 
 
 
 
 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: Islamabad 
 
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>
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PetsPark.pk

HectaCore Systems is a dynamic growing organization of the tech and e-commerce startup scene. We specialize in supporting emerging businesses with innovative solutions and strategic guidance. HectaCore Systems provides digital services, Organizational management softwares and house multiple e-commerce stores. Join our team as we continue to drive growth and success in the digital marketplace.Job Type: Full-timePay: Rs25,000.00 - Rs50,000.00 per monthEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Associate HR: 1 year (Required)</li></ul>Full job descriptionJob Title: Associate HR (Female)Location: E-11 Islamabad, reliable commuting to the office is a must.Job Type: Full-TimeTiming: Mon-Sat 9AM-6PMSalary: 25K - 30K per monthJob Description: As an HR Assistant at HectaCore System, you will play a crucial role in supporting the HR with various administrative and operational tasks. This position is ideal for someone who is organized, has a keen eye for detail, and is passionate about working in a fast-paced environment. You will assist in the day-to-day HR functions, including recruitment, onboarding, employee record maintenance, and other HR-related activities.Key Responsibilities:<ul><li>Assist with the recruitment process, including posting job openings, screening resumes, and scheduling interviews.</li><li>Support the onboarding process for new hires, including preparing offer letters and coordinating orientation.</li><li>Maintain and update employee records, ensuring all documentation is accurate and up-to-date.</li><li>Assist with payroll processing and handle basic employee inquiries regarding payroll and benefits.</li><li>Help organize and coordinate training sessions, workshops, and employee engagement activities.</li><li>Support the implementation of HR policies and procedures.</li><li>Handle confidential information with integrity and professionalism.</li><li>Assist in various HR projects and initiatives as required.</li></ul>Qualifications:<ul><li>Bachelor's degree in Human Resources, Business Administration, or related field.</li><li>Previous experience in an HR support role is a plus.</li><li>Strong organizational and time management skills.</li><li>Excellent verbal and written communication skills.</li><li>Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint).</li><li>Ability to maintain confidentiality and handle sensitive information.</li><li>Detail-oriented with a strong sense of responsibility.</li><li>Ability to work in a fast-paced, team-oriented environment.</li></ul>Job Type: Full-timePay: Rs25,000.00 - Rs40,000.00 per monthAbility to commute/relocate:<ul><li>Islamabad E-11: Reliably commute or planning to relocate before starting work (Preferred)</li></ul>Work Location: In person

HR Associate Female

Adam Smith International

<div>Senior Associate (Functionality Mapping) &ndash; Debt Management Reform Activity
Background
The Revenue Mobilisation, Investment and Trade (REMIT) is a multi-year (2021 &ndash; 2028) program funded by the UK&rsquo;s Foreign, Commonwealth and Development Office (FCDO) and is implemented by Adam Smith International (ASI). The program provides technical assistance (TA) to Pakistan with a broader objective to implement reforms for strengthening macroeconomic stability and improving conditions for high and sustained growth, mutual prosperity, job creation, and poverty reduction. The Programme works towards supporting the Government of Pakistan, its relevant ministries, institutions, and departments to strengthen revenue mobilization reforms/initiatives, address investment environment challenges, facilitate trade and drive competitiveness by reducing trade barriers, and improve the macroeconomic policy and its management.
Activity Context
The Ministry of Finance (MoF) has prioritized effective debt management to bring and maintain public debt-to-GDP ratio at sustainable levels. It aims to carry out improved debt management along with resource mobilisation, expenditure rationalisation, and efficient utilisation of debt.
As part of its support to the MoF, REMIT is supporting the development of a Domestic Debt Analytical Tool to strengthen the capacity of the Debt Management Office (DMO). The tool will improve debt sustainability analysis, risk management, and cash flow forecasting. The tool is intended to improve policy formulation, enable proactive risk management, and increase transparency and efficiency in managing the government&rsquo;s domestic debt portfolio.
The development process is structured in eight phases: inception and requirements analysis, system design and architecture, data preparation and integration, tool development and configuration, testing and validation, capacity building, institutional rollout, and ongoing maintenance and upgrades. The activity places strong emphasis on working in close coordination with the DMO, ensuring weekly reviews, active stakeholder engagement (including SBP and CDNS), and iterative testing using real-time data. Each phase is designed to ensure that the tool meets the practical and strategic needs of the MoF and its debt management operations.
The Senior Associate (Functionality Mapping) will play a key role in ensuring the alignment of system specifications, data structures, and technical design with DMO&rsquo;s functional requirements and institutional processes. 
Job Summary
The Senior Associate will support the functionality mapping, workflow analysis, and validation of deliverables during the development of the Debt Analytical Tool. They will work closely with the Senior Public Policy Expert and the tool developer, ensuring technical documents are aligned with DMO&rsquo;s operational realities and institutional reporting needs.
Duties and Responsibilities
The Senior Associate (Functionality Mapping) will support the development of the tool by undertaking the following tasks:<ul><li> 
Lead the development and review of functional requirement specifications based on DMO consultations and debt reporting needs.</li><li>
Coordinate with developers and DMO staff to map current workflows and identify functionality gaps.</li><li>
Validate the logical structure and technical feasibility of system architecture and data flows.</li><li>
Prepare and review system documentation including functional specs, testing plans, and configuration notes.</li><li>
Coordinate testing, validation sessions, and end-user feedback cycles.</li><li>
Contribute to development and refinement of training materials and user documentation.</li><li>
Maintain a version-controlled repository of all deliverables and feedback logs.</li></ul> 
Qualifications and Experience:<ul><li>
Minimum of 8 years of experience in system analysis, technical workflow design, or public finance system implementation</li><li>
Advanced degree in public administration, economics, IT systems, or related field</li><li>
Excellent understanding of economic policies, debt management and operation of variables like interest rates, and inflation rates.</li><li>
Excellent system development and data expertise for the development models.</li><li>
Strong review and analysis skills, with the ability to review technical policy and legal documents.</li><li>
Ability to engage with senior-level government officials, and to facilitate the process of getting things done vis-&agrave;-vis timelines, responsibilities, and resources required to deliver individual actions.</li><li>
Excellent record keeping, report writing, communications, and presentation skills.</li><li>
Excellent oral and written English.</li></ul> 
Reporting
The consultant will report to the REMIT Team Lead and REMIT Macroeconomy Lead. 
LOE: 60 days 
Application and Deadline
The deadline to apply is 22nd December, 2025.</div>

Senior Associate (Functionality Mapping) - REMIT Programme

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HR Associate Female

Senior Associate (Functionality Mapping) - REMIT Programme