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associate people business partner

airbnb associate - remote Jobs in Islamabad

airbnb associate - remote

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amazon virtual assistant Jobs in Islamabad

amazon virtual assistant

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associate, channels tech specialists

airbnb associate remote

Home Pick

<div>
 
 TAIMS Inc. is a leading short-term rental company managing multiple properties in Chicago, delivering full-service operations including management, and tech-driven support to optimize revenue and guest experiences. We are seeking a skilled Airbnb customer service associate, This mid-level, full-time role remote position, requires to have 1 to 3 years of relevant experience in property management and guest relationship management. The ideal candidate will oversee the guest relations, customer service of Airbnb guests, ensuring high standards of guest satisfaction and seamless processes across functions.
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 
 Required:
 
 Flexibility to cover part time shifts over the week ends
 
 </li>
 <li>
 Manage end-to-end operations of Airbnb-listed properties, ensuring all commitments to guests are fulfilled to the highest standard.
 
 </li>
 <li>
 Oversee guest check-in and check-out processes, making sure all interactions are prompt, professional, and courteous.
 
 </li>
 <li>
 Build and maintain positive relationships with guests, efficiently resolving complaints or special requests to drive repeat bookings and positive reviews.
 
 </li>
 <li>
 Collaborate with cleaning and maintenance teams to ensure properties are always guest-ready, addressing repairs or improvements swiftly.
 
 </li>
 <li>
 Implement, monitor, and refine standard operating procedures to boost operational effectiveness and guest satisfaction.
 
 </li>
 <li>
 Coordinate cross-functional initiatives between marketing, maintenance, and guest services teams to deliver consistent results.
 
 </li>
 <li>
 Maintain accurate records of property operations, guest interactions, and feedback to inform future improvements and reporting requirements.
 
 </li>
 <li>
 Minimum 1 years of proven experience in Airbnb property management or short-term rental operations.
 
 </li>
 <li>
 Strong guest relationship management (Mandatory skill), fostering positive interactions and handling feedback or complaints with professionalism.
 
 </li>
 <li>
 Exceptional skills in customer service (Mandatory skill) with a demonstrated history of resolving guest queries and improving satisfaction metrics.
 
 </li>
 <li>
 Capable of effective cross-functional collaboration to coordinate between cleaning, maintenance, and listing teams for seamless operations.
 
 </li>
 <li>
 Experienced in implementing process improvements, introducing new operational procedures that boost efficiency and guest experience.
 
 </li>
 <li>
 Highly organized, detail-oriented, and capable of managing multiple tasks and priorities in a fast-paced environment with minimal supervision.
 
 </li>
 <li>
 Excellent communication and interpersonal skills, both verbal and written, to liaise effectively with guests, vendors, and internal teams.
 
 
 
 
 </li>
 </ul>
 Benefits
 
 
 <li>
 Full Time Remote Position
 
 </li>
 <li>
 Bi Weekly Payroll Process
 
 </li>
 <li>
 Opportunity to work in a dynamic and fast-paced environment.
 
 </li>
 <li>
 Gain experience in the thriving short-term rental industry.
 
 </li>
 <li>
 Contribute to creating memorable experiences for guests from worldwide.
 
 </li>
</div>

Airbnb Associate - Remote

Hashtag Media

****Please read the requirements carefully before applying**** This is an office-based position. If you are looking for a remote job, please do not proceed.Job Title: HR Associate (Female) Job Type: Onsite, Full-Time Location: Gulberg Greens, Islamabad Working Hours: 9:00 AM - 6:00 PM Days: Monday to SaturdayJob OverviewWe are seeking a motivated and detail-oriented HR Associate (Female) to support our HR department with daily administrative and operational tasks. This role requires strong communication skills, a proactive mindset, and the ability to handle confidential information responsibly while ensuring smooth HR processes across the organization.Key Responsibilities<ul><li>Assist in managing general HR concerns and employee queries.</li><li>Coordinate with team leads and managers for day-to-day activities and employee-related matters.</li><li>Maintain company-wide communication and accurate HR record keeping.</li><li>Track employee performance and assist in resolving workplace concerns.</li><li>Issue employment-related documents such as contracts, salary slips, and certificates.</li><li>Maintain payroll-related records and support the payroll process.</li><li>Support the performance review, recruitment activities and appraisal process.</li><li>Manage job postings on platforms like LinkedIn, Indeed, and others.</li><li>Review employee-generated content to ensure compliance with guidelines.</li><li>Identify and report workflow or process issues and propose improvements.</li><li>Conduct routine checks to maintain HR policy compliance.</li></ul>Qualification<ul><li>Bachelor&rsquo;s degree in Human Resources, Business Administration, or a related field.</li><li>Minimum 6 months of relevant experience.</li><li>Proficiency in MS Office Suite.</li><li>Strong communication, coordination, and interpersonal skills.</li><li>Excellent organizational and multitasking abilities.</li><li>Basic knowledge of HR operations or HR software is a plus.</li></ul>Compensation Salary will be based on the candidate&rsquo;s skills, experience, and performance during the hiring process.Interested candidates can share their resumes at career@hashtagmedia.aeJob Type: Full-timePay: Rs35,000.00 - Rs40,000.00 per monthAbility to commute/relocate:<ul><li>Islamabad: Reliably commute or planning to relocate before starting work (Required)</li></ul>Location:<ul><li>Islamabad (Required)</li></ul>Work Location: In person

Female HR Associate

TalentPop App

<div>
 TalentPop is one of the fastest-growing agencies in the E-commerce space, supporting hundreds of global brands with exceptional customer success and operational support. We&rsquo;re looking for a Customer Success Associate who can manage client relationships, keep accounts healthy, and ensure every partner receives consistent, high-quality service.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Account Management: Manage a portfolio of 60 low-maintenance accounts, serving as the main point of contact and ensuring all client needs are addressed.
 </li>
 <li>
 Client Engagement: Conduct regular check-ins, quarterly connects, and proactive outreach to maintain strong relationships and keep client satisfaction high.
 </li>
 <li>
 Reporting: Monitor performance and deliver accurate End-of-Month reports, highlighting key metrics, risks, and opportunities for improvement.
 </li>
 <li>
 Collaboration: Partner with Team Leads and Onboarding Specialists to manage client requests, understand agent feedback, resolve issues, and identify areas for optimization.
 </li>
 <li>
 Growth Opportunities: Track account performance and identify opportunities such as expansions, Growth Assistants, Partnerships, and Gorgias Automate.
 </li>
 <li>
 Quarterly Business Reviews: Support the preparation and delivery of QBRs by providing data, insights, and performance summaries.
 </li>
 <li>
 Problem Resolution: Act as the first point of contact for client inquiries, ensuring issues are addressed quickly with cross-functional coordination.
 
 
 </li>
 </ul>
 Qualities/Skills
 
 
 <ul>
 <li>
 1&ndash;2 years of experience in a customer-facing role such as Customer Success, Client Services, or Account Management
 </li>
 <li>
 Excellent written and verbal communication skills with confidence in presenting information
 </li>
 <li>
 Strong organizational and time management abilities, comfortable handling multiple accounts
 </li>
 <li>
 Experience working with client data, identifying trends, and spotting opportunities
 </li>
 <li>
 Proactive, solutions-oriented, and able to anticipate client needs
 </li>
 <li>
 Familiarity with E-commerce tools or the E-commerce industry is a plus
 
 
 </li>
 </ul>
 Technical Requirements
 
 
 
 Internet
 
 
 
 <ul>
 <li>
 DSL, Cable, or Fiber connection &ndash; LAN required (35 Mbps minimum)
 </li>
 <li>
 Backup internet (15 Mbps minimum)
 
 
 </li>
 </ul>
 
 Hardware
 
 
 
 <ul>
 <li>
 Laptop/Desktop: Minimum Core i5 or Ryzen 5 with at least 8GB RAM
 </li>
 <li>
 Desktop/Laptop only (no tablets or smartphones for working tools)
 
 
 </li>
 </ul>
 Perks &amp; Benefits
 
 
 <ul>
 <li>
 Competitive pay with annual performance-based increases
 </li>
 <li>
 Paid time off so you can rest and recharge
 </li>
 <li>
 Health and dental insurance or a health stipend
 </li>
 <li>
 Comprehensive health and dental coverage
 </li>
 <li>
 Holiday bonuses in appreciation of your hard work
 </li>
 <li>
 Fully remote setup &mdash; work from anywhere you're comfortable
 </li>
 <li>
 Opportunities to grow with us as we scale
 
 
 </li>
 </ul>
 If you&rsquo;re ready to help clients succeed and grow with a fast-moving, global team, we&rsquo;d love to hear from you &mdash; please apply and tell us how you&rsquo;d make an impact.
</div>

Customer Success Associate

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>

Texinity Technologies

Project Manager - Jira (Remote)Company: Texinity Technologies Job Type: Full-Time (Remote) Experience: 1&ndash;2 Years Location: RemoteAbout the RoleTexinity Technologies is seeking a motivated and detail-oriented Project Manager with 1&ndash;2 years of experience and strong skills in Jira to effectively manage multiple software projects. The ideal candidate will coordinate cross-functional teams, maintain project documentation, and ensure timely delivery.Key Responsibilities<ul><li>Plan, manage, and track the progress of ongoing software projects</li><li>Coordinate with development, QA, and design teams</li><li>Maintain and update project documentation using Jira</li><li>Manage sprints, timelines, and deliverables</li><li>Conduct regular project meetings and status updates</li><li>Ensure high-quality output and client satisfaction</li><li>Identify and resolve project risks or delays</li></ul>Requirements<ul><li>1&ndash;2 years of experience in project management</li><li>Strong understanding of Agile/Scrum methodologies</li><li>Proficiency in Jira is mandatory</li><li>Excellent communication, coordination, and reporting skills</li><li>Ability to manage multiple tasks and remote teams</li><li>Strong problem-solving and organizational abilities</li><li>Ability to work independently in a remote environment</li></ul>Preferred Skills<ul><li>Experience working with software development teams</li><li>Basic understanding of SDLC</li><li>Knowledge of project documentation best practices</li></ul>Benefits<ul><li>Remote work environment</li><li>Growth opportunities within a tech-driven company</li><li>Supportive and collaborative team culture</li></ul>Job Type: Part-timePay: From Rs60,000.00 per monthExpected hours: No less than 20 per weekWork Location: Remote

Project Manager - Jira (Remote)

Jazz

<div>
 
 
 Title: Jazz Associate Programme 2026
 
 
 
 
 Duration: 1 Year
 
 
 
 
 Last Date to Apply: 31st December 2025
 
 
 
 
 Location: Islamabad
 
 
 
 
 
 Programme Overview:
 
 
 
 Jazz believes in nurturing young talent and providing them with valuable corporate exposure. Jazz Associate Program offers recent graduates from different universities an opportunity to gain practical experience in various fields based on their expertise. Through this program, we aim to groom and develop young professionals, preparing them for successful careers in the corporate world.
 
 
 
 
 Role Overview:
 
 
 
 As a Jazz Associate, you will be a part of a dynamic and fast-paced environment, working in different functions such as Digital Platforms, Technology, Analytics &amp; Software, Strategy, Finance, Consumer Division, Enterprise and People &amp; Organization. You will receive extensive training, mentorship, and exposure to real-world business challenges. The program will help you develop a comprehensive skill set, enhance your industry knowledge, and provide a solid foundation for your professional growth.
 
 
 
 
 Responsibilities:
 
 
 
 1. Collaborate with cross-functional teams to support various projects and initiatives in your assigned function.
 
 
 2. Learn and implement best practices, methodologies, and tools relevant to your area of specialization.
 
 
 3. Assist in data analysis, research, and reporting tasks to contribute to strategic decision-making.
 
 
 4. Contribute innovative ideas and solutions to improve processes, products, or services within your function.
 
 
 5. Develop strong analytical, problem-solving, and communication skills to effectively deliver on assigned tasks.
 
 
 6. Embrace a continuous learning mindset, proactively seeking opportunities to expand your knowledge and expertise.
 
 
 7. Collaborate with mentors and senior team members to receive guidance and support in your professional development.
 
 
 8. Actively participate in monthly learning interventions/pathways designed to enhance your overall understanding of the industry and sharpen your skills.
 
 
 
 
 Requirements
 
 
 
 
 1. Recent graduate (within the past two years or graduating in June 2026) from a recognized university.
 
 
 2. Bachelor's degree in a relevant field (e.g., Business Administration, Computer Science, Marketing, Data Analytics, etc.).
 
 
 3. Strong academic performance and a genuine passion for learning and professional growth.
 
 
 4. Excellent analytical and problem-solving skills with the ability to think critically.
 
 
 5. Good interpersonal and communication skills, both written and verbal.
 
 
 6. Ability to work collaboratively in a team environment and build relationships with colleagues.
 
 
 7. Demonstrated ability to adapt to changing priorities and handle multiple tasks simultaneously.
 
 
 8. Proficient in using technology tools and platforms relevant to your function.
 
 
 9. Knowledge or experience in your specific area of expertise is a plus.
 
 
 
 
 Note:
 
 This job description is intended to outline the general responsibilities and qualifications for the Jazz Associate Programme. It is not exhaustive and may be subject to change based on the specific requirements and objectives of each function within the program.
 
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Jazz Associate Programme 2026

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Jazz Associate Programme 2026