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Pivotize Consulting

Position Overview:We are seeking a experienced Data Engineer to join the team. As a Data Engineer, you will play a crucial role in designing, implementing, and maintaining the infrastructure necessary for our data initiatives, ensuring scalability, reliability, and efficiency. You will collaborate with cross-functional teams to develop robust data pipelines, optimize data workflows, and ensure the reliability and scalability of our data systems.Key Responsibilities:&middot; Develop and maintain ETL (Extract, Transform, Load) processes to integrate data from disparate sources into SQL Server databases.&middot; Write complex SQL queries, stored procedures, and optimize database performance for large-scale datasets.&middot; Develop and implement efficient data models to support analytical and reporting requirements.&middot; Design, implement, and optimize database structures, stored procedures, queries, and views for performance and scalability.&middot; Design and implement database schemas, tables, indexes, Triggers and constraints to ensure efficient storage and retrieval of data.&middot; Perform database debugging, troubleshooting, and bug fixing to identify and resolve issues related to data integrity, performance, and functionality.&middot; Troubleshoot and resolve database issues, including performance bottlenecks, data corruption, and system errors.&middot; Collaborate with cross-functional teams, including software developers, analysts, and business stakeholders, to gather requirements and implement database solutions.&middot; Implement security measures and access controls to protect sensitive data stored in SQL Server databases, in compliance with regulatory requirements and industry best practices.Requirements:&middot; Degree in Computer Science, Engineering, or a related field.&middot; Strong expertise in Microsoft SQL Server (T-SQL, indexing, query tuning, performance optimization).&middot; 5+ years of experience as a Data Engineer or similar role, with a strong background in data warehousing, ETL, and database technologies.&middot; Can demonstrate experience working with large and complex data sets as well as experience analyzing volumes of data.&middot; Experience with monitoring and optimizing database performance in production environments.&middot; Familiarity with cloud-based data architecture and pipelines.&middot; Strong problem-solving, analytical, and debugging skills.&middot; Ability to analyze complex data sets and design scalable data solutions.&middot; Excellent communication and collaboration skills.Job Type: Full-timeApplication Question(s):<ul><li>what is your current salary?</li><li>what is your expected salary?</li><li>What is your notice period?</li><li>Since it's an onsite role, would you be able to commute to Bahria Complex 1, M.T. Khan Road?</li></ul>Work Location: In person

Data Engineer

Assurety Consulting & Solutions Pvt. ltd

Job Description: Join our growing team at Assurety Consulting &amp; Solutions as a Data Engineer! We&rsquo;re looking for a detail-oriented professional to design, build, and optimize data pipelines, integrate multiple data sources, and ensure high-quality, reliable data that powers business insights.Key Responsibilities:<ul><li>Design, develop, and maintain ETL workflows using SQL Server, SSIS, and Azure Data Factory (ADF)</li><li>Integrate structured and unstructured data across diverse systems</li><li>Ensure data accuracy, integrity, and performance optimization</li><li>Partner with cross-functional teams to deliver scalable, data-driven solutions</li></ul>Requirements:<ul><li>Bachelor&rsquo;s degree in Computer Science or a related field</li><li>3+ years of experience in data engineering</li><li>Proficiency in SQL Server, SSIS, and Azure Data Factory (ADF)</li><li>Strong analytical and problem-solving skills</li></ul>Location: Shahrah-e-Faisal, KarachiJob Type: Full-timeWork Location: In person

Data Engineer (Immediate Hiring – Karachi)

Horizon Tech

We are looking for a skilled Data Engineer to design, build, and optimise our modern data platform on the cloud. You'll be responsible for architecting scalable, secure, and automated data pipelines and enabling data-driven applications and AI/ML solutions across the organisation.This is an exciting opportunity to shape the data foundation of a growing business, leveraging a modern AWS and engineering ecosystem.Must Haves:<ul><li>3-5 years of experience in data engineering or a similar role working with large-scale, distributed data systems.</li><li>Strong proficiency in Python, SQL, and data modelling for analytical and transactional systems.</li><li>Deep understanding of modern AWS data and analytics services (e.g., S3, Glue, Lambda, Redshift, or equivalents).</li><li>Experience with Apache Spark / PySpark for batch and stream processing.</li><li>Solid knowledge of data governance, security, and compliance frameworks.</li><li>Familiarity with Infrastructure as Code (Terraform, CloudFormation) and CI/CD practices.</li><li>Understanding of AI/ML data workflows, including feature engineering and data preparation for LLMs or predictive models.</li><li>Strong problem-solving, collaboration, and communication skills.</li></ul>Preferred (Nice to Have)<ul><li>Knowledge of containerization (Docker, ECS, EKS) or serverless data architectures.</li><li>Understanding of AI/ML and NLP technologies, including integration of LLMs, automation frameworks, and RPA tools for intelligent data workflows.</li><li>Awareness of MLOps pipelines, model monitoring, and feature store management.</li></ul>Responsibilities:<ul><li>Design, build, and maintain large-scale, distributed, and event-driven data pipelines using modern AWS Data Engineering services (e.g., Glue, Lambda, Step Functions, etc.).</li><li>Develop ETL/ELT workflows integrating structured and unstructured data into Snowflake, Redshift, and S3-based data lakes.</li><li>Architect and optimise data ingestion, transformation, and storage layers for structured and unstructured data in a data lake or warehouse environment.</li><li>Implement and enforce data security, governance, and access controlincluding encryption, IAM, auditing, and compliance with best practices.</li><li>Develop and maintain metadata management, data lineage, and cataloguing frameworks to ensure traceability and consistency across datasets.</li><li>Automate infrastructure provisioning using Infrastructure-as-Code (IaC) tools such as Terraform or AWS CloudFormation.</li><li>Collaborate with analytics and AI/ML teams to deliver clean, high-quality, and feature-ready data for training and inference pipelines.</li><li>Integrate observability and monitoring into data workflows to ensure reliability, performance, and cost efficiency.</li><li>Contribute to CI/CD pipelines and Git-based version control for data workflows and infrastructure changes.</li><li>Mentor junior engineers and champion engineering best practices for data quality, reliability, and scalability.</li></ul>Other Details<ul><li>Work Days: Monday-Friday (3 pm - 12 am)</li><li>Office location: Off to Shahrah-e-Faisal, PECHS, Karachi</li></ul>Job Type: Full-timePay: Rs150,000.00 - Rs250,000.00 per monthApplication Question(s):<ul><li>What is your expected salary?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>data engineering with large-scale data systems: 3 years (Required)</li><li>Python, SQL and modern AWS data and analytics services: 3 years (Required)</li><li>ETL/ELT workflows : 3 years (Required)</li></ul>Location:<ul><li>Karachi (Required)</li></ul>Work Location: In person

Squarera

We are seeking a skilled Salesforce Developer (Data Cloud) with hands-on experience in Salesforce Data Cloud (Customer Data Platform) and MuleSoft integration. The ideal candidate will have strong domain knowledge in Automotive, Sales &amp; Marketing, and Oil &amp; Gas industries, with a focus on designing and developing data-driven, customer-centric solutions.This role involves integrating multiple data sources, developing APIs, implementing real-time data synchronization, and creating a unified customer view using Salesforce and MuleSoft platforms.Key Responsibilities:<ul><li>Design and implement Salesforce Data Cloud solutions for unified customer data, segmentation, and activation.</li><li>Develop API-led integrations using MuleSoft Anypoint Platform for seamless data exchange between systems.</li><li>Collaborate with cross-functional teams to translate business needs in Automotive, Sales &amp; Marketing, and Oil &amp; Gas domains into scalable Salesforce solutions.</li><li>Configure and customize Salesforce Data Cloud, Sales Cloud, and Service Cloud components.</li><li>Build and manage data models, mappings, transformations, and identity resolution processes.</li><li>Ensure data accuracy, governance, and compliance with security standards.</li><li>Troubleshoot integration and performance issues, ensuring optimal system performance.</li><li>Stay up to date with Salesforce releases, MuleSoft enhancements, and industry best practices.</li></ul>Required Skills &amp; Experience:<ul><li>2&ndash;4 years of experience as a Salesforce Developer with focus on Data Cloud and MuleSoft integration.</li><li>Proficiency in Apex, Lightning Components (LWC), and REST/SOAP APIs.</li><li>Strong understanding of Salesforce Data Cloud architecture &ndash; data ingestion, unification, and activation.</li><li>Hands-on experience in MuleSoft integration design and development (System, Process, and Experience APIs).</li><li>Familiarity with Sales Cloud, Service Cloud, and Marketing Cloud.</li><li>Good knowledge of data modeling, ETL/ELT processes, and API integrations.</li><li>Domain expertise in at least one of the following:</li><li>Automotive &ndash; connected customer data, dealer networks, after-sales analytics.</li><li>Sales &amp; Marketing &ndash; lead and campaign management, customer engagement.</li><li>Oil &amp; Gas &ndash; asset and operations data, partner relationship management.</li><li>Excellent analytical and problem-solving skills with attention to detail.</li></ul>Preferred Qualifications:<ul><li>Salesforce Certified Data Cloud Consultant / Platform Developer I or II.</li><li>MuleSoft Certified Developer &ndash; Level 1.</li><li>Experience with Einstein Analytics / Tableau CRM.</li><li>Exposure to CI/CD, Git, Jenkins, and cloud data services (AWS/Azure).</li></ul>Benefits:<ul><li>Market-competitive salary</li><li>Opportunity for international travel</li><li>Medical coverage</li><li>Annual performance-based bonus</li><li>Collaborative and innovative work environment</li></ul>Job Type: Full-timeWork Location: In person

Salesforce Developer

NorthBay Solutions

<div>
 
 Job Title:
 
 Senior Data Scientist
 
 
 Location:
 
 
 Karachi
 
 
 
 Job Type:
 
 
 Full-time, (Hybrid)
 
 
 
 
 
 
 Job Description
 
 :
 
 
 
 
 
 
 
 
 
 NorthBay is looking for a highly experienced Data Scientist to join our team. The ideal candidate will have 8+ years of professional experience in data science, with a focus on data processing, visualization, and structuring. The candidate should have a proven track record in leveraging advanced analytics techniques to extract actionable insights from complex datasets, and the ability to design and implement sophisticated predictive models to refine forecasting engines. Strong analytical and communication skills are essential for this role, as you will be working closely with various stakeholders to understand business needs and deliver data-driven insights.
 
 
 
 
 
 
 
 
 
 Requirements:
 
 <ul>
 <li>
 
 
 
 
 
 
 8+ years of overall professional experience.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Expertise in data processing, visualization, and structuring.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Proven track record in leveraging advanced analytics techniques to extract actionable insights from complex datasets.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Strong experience in designing and implementing sophisticated predictive models.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Proficiency in Python, SQL, and other relevant programming languages and tools.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Experience in managing teams and executing complex projects.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Excellent communication and collaboration skills, with the ability to translate complex technical concepts into actionable insights for stakeholders.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Proven track record of driving business outcomes through data-driven decision-making.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Experience in using LLMs (Large Language Models).
 
 
 
 
 
 
 </li>
 </ul>
 
 Responsibilities:
 
 <ul>
 <li>
 
 
 
 
 
 
 Develop a deep understanding of the business domain.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Gain comprehensive knowledge of customer&rsquo;s data.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Build predictive reports from databases to aid in decision-making.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Write scripts and queries to extract data, perform data processing, and create visualizations/reports.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Assist in organizing and testing GenAI and other AI-related projects.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Design and implement sophisticated predictive models to refine forecasting engines, aiming for a significant reduction in forecasting errors and revolutionizing decision-making processes across the organization.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Conduct continuous improvement initiatives to enhance process efficiency, including introducing data monitoring tools to improve error detection and reduce processing delays.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Translate complex business needs into actionable technical specifications, collaborating with stakeholders to ensure alignment and successful implementation.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Research cutting-edge, open-source models to align with product requirements, benchmark performance against industry standards, and integrate top-performing models to enhance product functionality and user experience significantly.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Conduct the training of a diverse range of models spanning Object Segmentation, Tracking, Detection, Multi-Class Classification, OCR, and Statistical Models, aiming for a notable improvement in model accuracy.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Construct a robust integration architecture and automated pipeline to enhance data model performance, aiming for a decrease in processing time and enabling rapid decision-making for stakeholders in the technology sector.
 
 
 
 
 
 
 
 &nbsp;
 </li>
 </ul>
 
 
 
 
 
 
 
 If you meet the above qualifications and are excited about leveraging data to drive business decisions, we encourage you to apply. Join our team and contribute to the innovative projects shaping our future!
 
 
 
 
 
 
 
</div>

Senior - Data Scientist

<div><h3 class="jobSectionHeader">Job Title: Lead Data Scientist</h3>
Location: Karachi<h4 class="jobSectionHeader">
Job Type: Full-time, (Hybrid) 
 
Job Description: 
 
NorthBay is looking for a highly experienced Data Scientist to join our team. The ideal candidate will have 8+ years of professional experience in data science, with a focus on data processing, visualization, and structuring. The candidate should have a proven track record in leveraging advanced analytics techniques to extract actionable insights from complex datasets, and the ability to design and implement sophisticated predictive models to refine forecasting engines. Strong analytical and communication skills are essential for this role, as you will be working closely with various stakeholders to understand business needs and deliver data-driven insights. 
 
Requirements:</h4><ul><li>
8+ years of overall professional experience.</li><li>
Expertise in data processing, visualization, and structuring.</li><li>
Proven track record in leveraging advanced analytics techniques to extract actionable insights from complex datasets.</li><li>
Strong experience in designing and implementing sophisticated predictive models.</li><li>
Proficiency in Python, SQL, and other relevant programming languages and tools.</li><li>
Experience in managing teams and executing complex projects.</li><li>
Excellent communication and collaboration skills, with the ability to translate complex technical concepts into actionable insights for stakeholders.</li><li>
Proven track record of driving business outcomes through data-driven decision-making.</li><li>
Experience in using LLMs (Large Language Models).</li></ul><h3 class="jobSectionHeader">
Responsibilities:</h3><ul><li>
Develop a deep understanding of the business domain.</li><li>
Gain comprehensive knowledge of customer&rsquo;s data.</li><li>
Build predictive reports from databases to aid in decision-making.</li><li>
Write scripts and queries to extract data, perform data processing, and create visualizations/reports.</li><li>
Assist in organizing and testing GenAI and other AI-related projects.</li><li>
Design and implement sophisticated predictive models to refine forecasting engines, aiming for a significant reduction in forecasting errors and revolutionizing decision-making processes across the organization.</li><li>
Conduct continuous improvement initiatives to enhance process efficiency, including introducing data monitoring tools to improve error detection and reduce processing delays.</li><li>
Translate complex business needs into actionable technical specifications, collaborating with stakeholders to ensure alignment and successful implementation.</li><li>
Research cutting-edge, open-source models to align with product requirements, benchmark performance against industry standards, and integrate top-performing models to enhance product functionality and user experience significantly.</li><li>
Conduct the training of a diverse range of models spanning Object Segmentation, Tracking, Detection, Multi-Class Classification, OCR, and Statistical Models, aiming for a notable improvement in model accuracy.</li><li>
Construct a robust integration architecture and automated pipeline to enhance data model performance, aiming for a decrease in processing time and enabling rapid decision-making for stakeholders in the technology sector.</li></ul> 
If you meet the above qualifications and are excited about leveraging data to drive business decisions, we encourage you to apply. Join our team and contribute to the innovative projects shaping our future!
32qfQ3OWtD</div>

The Game Storm Studios

Job Title: Unity Game Developer Job Description: We are looking for a skilled Unity Developer with a solid understanding of OOP principles and data structures. The ideal candidate should have basic knowledge of game design, understand how to integrate AI in games, and be capable of developing new games as well as adding features to existing projects. Requirements:<ul><li>Strong knowledge of C# and Unity Engine</li><li>Good grasp of OOP concepts and data structures</li><li>Basic understanding of AI implementation in games</li><li>Ability to develop new games from scratch and enhance existing ones</li><li>Passion for gaming and game development</li></ul>Preferable candidates are from IBA, FAST, NUST, NED.Apply by sending your CV to hr.khi@thegamestormstudios.com.Job Type: Full-timeWork Location: In person

Developer

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1128 data developer jobs IN Karachi

Data Engineer

Data Engineer (Immediate Hiring – Karachi)

Data Engineer

Salesforce Developer

Senior - Data Scientist

Senior - Data Scientist

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