business analyst

it support engineer

data analyst

data engineer

data scientist

big data engineer

Datamatics Global Services Ltd

<div><h2 class="jobSectionHeader">Job Title: Big Data Engineer 
Expericence - 5 to 8 Years - CV with relevant skills will be contacted.</h2><h3 class="jobSectionHeader">
Role Purpose</h3>
The Big Data Engineer is responsible for designing, developing, and maintaining scalable data pipelines and distributed data processing systems. This role enables efficient data ingestion, transformation, and analytics across batch and real-time environments, supporting enterprise-wide data initiatives.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Design, develop, and maintain scalable batch and real-time data pipelines to support analytics and business intelligence use cases</li><li>
Build and manage distributed data processing solutions using Apache Hadoop and Apache Spark within Cloudera Data Platform (CDP)</li><li>
Develop and orchestrate ETL workflows using tools such as Apache NiFi</li><li>
Implement and manage real-time streaming pipelines using Apache Kafka</li><li>
Work with distributed storage systems such as Hadoop Distributed File System (HDFS)</li><li>
Utilize query engines like Apache Hive and Apache Impala for data access and analytics</li><li>
Perform data ingestion, transformation, and integration from multiple structured and unstructured enterprise data sources</li><li>
Optimize data pipelines for performance, scalability, and reliability</li><li>
Monitor and troubleshoot data workflows, ensuring high availability and data integrity</li><li>
Collaborate closely with data architects, analysts, and business stakeholders to deliver data solutions aligned with business needs</li><li>
Ensure adherence to data governance, security, and data quality standards</li><li>
Document data processes, architectures, and workflows for operational efficiency</li></ul><h3 class="jobSectionHeader">
Required Skills &amp; Experience</h3><ul><li>
5&ndash;8 years of experience in Big Data Engineering or related roles</li><li>
Strong hands-on experience with:<ul><li>
Apache Hadoop ecosystem</li><li>
Apache Spark (PySpark/Scala preferred)</li><li>
Apache Kafka (streaming)</li><li>
Apache NiFi (data ingestion/ETL)</li></ul></li><li>
Experience with Cloudera Data Platform (CDP) or similar big data platforms</li><li>
Proficiency in SQL and at least one programming language (Python, Scala, or Java)</li><li>
Solid understanding of distributed computing and parallel processing concepts</li><li>
Experience working with HDFS, Hive, and Impala</li><li>
Knowledge of data modeling, ETL design, and data warehousing concepts</li><li>
Familiarity with data governance, security, and compliance frameworks</li><li>
Strong problem-solving and performance tuning skills</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Experience with cloud platforms (AWS, Azure, or GCP) in big data environments</li><li>
Knowledge of containerization (Docker/Kubernetes) is a plus</li><li>
Exposure to CI/CD pipelines for data engineering workflows</li><li>
Understanding of real-time analytics and event-driven architectures</li></ul><h3 class="jobSectionHeader">
Key Competencies</h3><ul><li>
Analytical thinking and problem-solving</li><li>
Strong collaboration and communication skills</li><li>
Ability to work in fast-paced, data-driven environments</li><li>
Attention to detail and commitment to data quality</li></ul><h3 class="jobSectionHeader">
Education</h3><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, Data Engineering, or a related field</li></ul>
x05bomsehO</div>

Big Data Engineer

<div><h1 class="jobSectionHeader">Senior Data Engineer (12+ Years Experience)</h1><h2 class="jobSectionHeader">
Role Summary</h2>
We are seeking a seasoned Senior Data Engineer with 12+ years of experience in designing, building, and managing scalable data pipelines and architectures. The role requires deep expertise in modern data engineering practices, cloud platforms, and enterprise-grade data solutions to support analytics, reporting, and strategic decision-making.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
ETL/ELT Development: Design, build, and maintain robust ETL/ELT pipelines to ingest, transform, and deliver data from diverse sources.</li><li>
Data Lake &amp; Warehouse Design: Architect and implement scalable data lakes and warehouses to support analytics and BI workloads.</li><li>
System Optimization: Optimize data processing frameworks for performance, scalability, and cost efficiency.</li><li>
Data Security: Implement security best practices, encryption, and role-based access controls.</li><li>
Data Governance: Ensure compliance with governance frameworks, data lineage, and quality standards.</li><li>
Collaboration: Work closely with data scientists, analysts, and business stakeholders to deliver reliable data solutions.</li><li>
Automation &amp; CI/CD: Integrate DevOps practices for automated deployment and monitoring of data pipelines.</li><li>
Mentorship: Provide technical guidance and mentorship to junior engineers, fostering a culture of excellence.</li></ul><h2 class="jobSectionHeader">
Required Skills</h2><ul><li>
Programming Expertise: Advanced proficiency in Python, Scala, and/or Java for data engineering tasks.</li><li>
Cloud Platforms: Hands-on experience with AWS, Azure, or GCP for building cloud-native data solutions.</li><li>
Data Architecture: Strong knowledge of data modeling, warehousing, and distributed systems.</li><li>
Big Data Tools: Experience with Spark, Hadoop, Kafka, or equivalent frameworks.</li><li>
SQL Mastery: Expertise in writing optimized queries, stored procedures, and performance tuning.</li><li>
Visualization Support: Ability to prepare curated datasets for BI tools like Power BI or Tableau.</li><li>
Problem-Solving: Strong analytical and troubleshooting skills for complex data challenges.</li></ul><h2 class="jobSectionHeader"> 
Preferred Qualifications</h2><ul><li>
Experience with containerization (Docker, Kubernetes) for data workloads.</li><li>
Knowledge of real-time streaming architectures (Kafka, Kinesis, Event Hub).</li><li>
Familiarity with data mesh and lakehouse architectures.</li><li>
Exposure to machine learning pipelines and advanced analytics integration.</li><li>
Proven track record of leading enterprise-scale data engineering projects.</li></ul>
nH0LSoI5uE</div>

Senior Data Engineer

Contour Software

<div>About Contour
Contour Software has grown from a dozen people to over 2,000 staff across 3 cities, in less than 14 years. 
As a subsidiary of Constellation Software Inc., we are proud to be part of a global enterprise software conglomerate that has grown to become one of the top 10 software companies in the world, with employees and customers in 100+ countries. With a broad-based and ever-growing portfolio of market-leading, vertical-market enterprise solutions covering more than 100 industry domains in predominantly mature markets, CSI's recipe creates the perfect environment for professionals to build fulfilling, long-term careers. 
What started as an R&amp;D &amp; Accounting back-office, has progressed into a full-service Global Centre serving all functions and departments, at the divisional as well as operating group/corporate level. Today Contour employees, located in Karachi, Lahore &amp; Islamabad, are serving CSI divisions located in time zones spanning the globe, from Sydney to Vancouver. With the global growth of Constellation as the wind in our sails, we are only just getting started!<div><div>
The Division: 
Constellation Payments is a leading global gateway and merchant services provider with special expertise in software integration and recurring transactions representing a wide variety of verticals &ndash; including government entities, municipalities, moving and storage, club management, attractions, fitness, martial arts, event registration and hospitality management.</div><div>
The Position: 
We are looking for a Data Engineer to join our development team and participate in different projects. We are looking for proactive people, team players passionate about technology and big data. This is an excellent opportunity for those professionals looking to develop in one of the fastest growing areas of software development.</div><div>
The selected individuals will work out of the Contour Software Lahore/Karachi/Islamabad resource center office, as an extension of the division-based R&amp;D department.</div><div>
Role and Responsibilities:</div><div><ul><li>
Write efficient queries to extract and analyze large datasets while ensuring seamless systems integration by developing robust data workflows.</li></ul></div><div><ul><li>
Design, develop, and maintain scalable ETL solutions for data pipelines, enhancing and optimizing existing processes to meet evolving business needs.</li></ul></div><div><ul><li>
Develop and expand the organization&rsquo;s data technology stack to support advanced data processing and analytics needs, leveraging tools like AWS MapReduce and PySpark for big data handling.</li></ul></div><div><ul><li>
Apply machine learning techniques to clean and process data, supporting future initiatives to integrate machine learning into analytics workflows.</li></ul></div><div><ul><li>
Continuously evaluate and adopt the most efficient tools and technologies for data extraction, transformation, analysis, and integration.</li></ul></div><div><ul><li>
Build a strong understanding of customer business needs to deliver tailored and impactful data solutions, collaborating with stakeholders to translate business requirements into technical implementations.</li></ul></div><div><ul><li>
Utilize AWS services, including MapReduce and related tools, to enable scalable data processing and pipeline optimization while ensuring security, scalability, and cost-efficiency.</li></ul></div><div><ul><li>
Monitor and improve the performance of data systems and processes, staying updated on industry trends and emerging technologies in data engineering and analytics.</li></ul></div><div>
Required Skills:</div><div><ul><li>
Minimum 3 years of experience with AWS cloud data lake architectures including services like S3, Glue, Athena, and Redshift.</li></ul></div><div><ul><li>
Hands on experience with Apache Airflow for designing and managing complex data workflows.</li></ul></div><div><ul><li>
Deep understanding of data warehouse concepts, architectures, and structures.</li></ul></div><div><ul><li>
Expertise in cloud technologies, particularly AWS services, including AWS Glue, AWS Data Lake, and Amazon EMR for big data processing.</li></ul></div><div><ul><li>
Proven ability to design and build robust, scalable data pipelines for big data processing and transformation.</li></ul></div><div><ul><li>
Hands-on experience with big data tools and frameworks such as PySpark, Databricks, and related technologies.</li></ul></div><div><ul><li>
Proficiency in programming languages such as Python for data manipulation, transformation, and analysis. Advanced Python development skills, including experience with AWS SDKs (e.g. boto3) for interacting with cloud services.</li></ul></div></div><div><div><ul><li>
Proficiency in Apache Kafka for real-time data streaming and event-driven architectures.</li></ul></div><div><ul><li>
Strong SQL skills with a focus on complex query development and optimization. Familiarity with NoSQL databases such as DynamoDB or MongoDB</li></ul></div><div><ul><li>
Experience integrating Python applications with RESTful APIs and external services</li></ul></div><div><ul><li>
Deep understanding of data security best practices, including encryption at rest and in transit. Hands-on experience in implementing AWS KMS (Key Management Services) for managing encryption keys.</li></ul></div><div><ul><li>
Familiarity with IAM policies, VPC configurations, and security groups for securing data pipelines.</li></ul></div><div><ul><li>
Familiarity with machine learning concepts and their application to data cleaning and integration tasks.</li></ul></div><div><ul><li>
Advanced English proficiency, with excellent communication skills for collaborating with stakeholders</li></ul></div></div>
Exciting Benefits we offer:<ul><li>
Market-leading Salary</li><li>
Medical Coverage &ndash; Self &amp; Dependents</li><li>
Parents Medical Coverage</li><li>
Provident Fund</li><li>
Employee Performance-based bonuses</li><li>
Home Internet Subsidy</li><li>
Conveyance Allowance</li><li>
Profit Sharing Plan [Tenured Employees Only]</li><li>
Life Benefit</li><li>
Child Care Facility</li><li>
Company Provided Lunch/Dinner</li><li>
Professional Development Budget</li><li>
Recreational area for in-house games</li><li>
Sporadic On-shore training opportunities</li><li>
Friendly work environment</li><li>
Leave Encashment</li></ul>
Disclaimer: At Contour, we attribute our success to the unique contributions of our diverse staff. We&rsquo;re committed to fostering a culture of respect that thrives on the varied perspectives and experiences of all individuals we recruit, employ, promote, and compensate. Since day one, we&rsquo;ve adhered to a policy that champions a work environment honoring the worth and dignity of each person while being free from all forms of employment discrimination.
In our continuous effort to promote inclusivity, we extend our commitment to individuals with special needs by providing reasonable accommodations. We actively encourage qualified individuals with special needs to apply for the various openings within our company. Should you require assistance in completing the application process or have any inquiries regarding special facilities, please do not hesitate to contact our HR team. Your unique talents and abilities are welcomed and valued here.</div>

Data Engineer

TechSurge Inc

<div>
 <ul>
 <li>
 Data Management: Design, develop, and maintain the data infrastructure that supports the Finance systems, ensuring data accuracy, integrity, and availability.
 </li>
 <li>
 Data Modeling: Apply data modeling techniques to design efficient and scalable data structures that support the Finance systems' reporting and analysis requirements.
 </li>
 <li>
 ETL Development: Utilize ETL tools like Informatica or extract, transform, and load data from various sources into the Finance systems, ensuring smooth and accurate data flow.
 </li>
 <li>
 Finance System Management: Collaborate with Finance stakeholders to understand their data requirements and ensure that the data infrastructure meets their needs for financial consolidation, regulatory reporting, cost allocation, and profitability reporting.
 </li>
 <li>
 Communication and Stakeholder Management: Strong communication skills to interact with various stakeholders, including senior management, technical teams, and business users.
 </li>
 <li>
 Data Mapping: Perform data mapping exercises to align data from diverse sources to the standardized OFSAA data model, ensuring data consistency and accuracy.
 </li>
 <li>
 Data Quality and Governance: Implement data quality and governance processes to maintain high data quality standards across the Finance systems.
 </li>
 <li>
 Performance Optimization: Identify and implement performance optimization techniques to ensure efficient data processing and reporting within the Finance systems.
 </li>
 <li>
 Integration: Collaborate with IT teams and external vendors to integrate new data sources and applications with the Finance systems.
 </li>
 <li>
 Regulatory Compliance: Thorough understanding of regulatory reporting requirements and compliance standards in the banking industry.
 </li>
 <li>
 AI/ML: Apply AI/ML for data classification, metadata inference, automated test‑case/document generation, and reconciliation efficiency.
 </li>
 <li>
 Agile Delivery: Works as part of cross‑functional Agile squads, contributing to sprint planning, refinement, and iterative delivery of data pipelines and finance systems enhancements.
 
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 Minimum required experience is 5 years.
 </li>
 <li>
 Bachelor's degree in computer science, Information Technology, or a related field.
 </li>
 <li>
 Proven experience as a Data Engineer, handling Finance systems like OFSAA, Financial Consolidation, and Regulatory Reporting.
 </li>
 <li>
 Expertise in data modeling techniques and ETL tools (e.g., Informatica) to manage data integration and transformation processes.
 </li>
 <li>
 Knowledge of banking finance functions, including financial consolidation, cost allocation, and profitability reporting.
 </li>
 <li>
 Familiarity with big data technologies and their applications in data management and analysis.
 </li>
 <li>
 Understanding Hadoop architecture, tools like HDFS, Hive, Sqoop, Spark is critical for the tool.
 </li>
 <li>
 Proficiency in SQL and database management systems.
 </li>
 <li>
 Analytical mindset with a focus on data accuracy and attention to detail.
 </li>
 <li>
 Strong problem-solving skills and the ability to work independently as well as in a team environment.
 </li>
 <li>
 Strong knowledge of Agile delivery in banking/financial services.
 </li>
 <li>
 Proficiency with delivery/collaboration tooling (Jira/Azure DevOps, Confluence, Miro) and automated reporting (Power BI, Tableau).
 </li>
 <li>
 Familiarity with AI/ML concepts (basic model lifecycle, data quality, explainability, monitoring) and responsible AI considerations applied to data engineering.
 </li>
 <li>
 Awareness of data governance, privacy, cybersecurity, and regulatory expectations relevant to finance and regulatory data.
 
 </li>
 </ul>
</div>

HireOn

<div>
 
 Employment Type:
 
 Full-Time | Permanent
 
 
 
 Location:
 
 Pakistan (Lahore / Karachi / Islamabad) &ndash; Hybrid
 
 
 
 About The Opportunity
 
 
 
 
 HireOn
 
 is hiring on behalf of a
 
 reputed international client
 
 seeking a
 
 Principal Data Engineer
 
 to play a pivotal role in building and scaling a next-generation cloud data platform.
 
 
 This position focuses on designing and delivering
 
 high-performance data pipelines and warehouse solutions on Amazon Redshift
 
 , enabling faster analytics, improved reliability, and scalable data operations.
 
 
 You will take ownership of
 
 architecting data workflows, optimizing processing performance, and implementing production-grade orchestration
 
 , while collaborating with cross-functional teams to drive data-driven outcomes.
 
 
 
 Key Requirements (Must-Have First)
 
 
 
 <ul>
 <li>
 6 to 8+ years of experience in data engineering, data platforms, or data warehousing
 </li>
 <li>
 Advanced expertise in Amazon Redshift, including performance tuning, workload optimization, and MPP architecture
 </li>
 <li>
 Strong hands-on experience with Apache Airflow (MWAA preferred) for workflow orchestration
 </li>
 <li>
 Proficiency in SQL and Python for building scalable data pipelines
 </li>
 <li>
 Solid experience with cloud-based data ecosystems on AWS (S3, Lambda, CloudWatch, DMS)
 </li>
 <li>
 Deep understanding of data modeling, ETL/ELT frameworks, and large-scale data processing
 </li>
 <li>
 Proven ability to design high-performance, distributed data pipelines
 </li>
 <li>
 Experience leading engineering efforts, including code reviews, mentoring, and technical decision-making
 </li>
 <li>
 Strong knowledge of query optimization, parallel processing, and data pipeline efficiency
 
 
 </li>
 </ul>
 
 
 Core Technical Skills
 
 
 
 
 
 Essential
 
 
 
 <ul>
 <li>
 Amazon Redshift (Provisioned / Serverless)
 </li>
 <li>
 MPP data processing concepts
 </li>
 <li>
 Apache Airflow (MWAA)
 </li>
 <li>
 Advanced SQL &amp; performance tuning
 </li>
 <li>
 Python for data engineering
 </li>
 <li>
 Data modeling &amp; warehousing concepts
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 AWS services (S3, Lambda, DMS, Aurora PostgreSQL)
 </li>
 <li>
 CI/CD pipelines &amp; Git-based workflows
 </li>
 <li>
 Linux/Unix environments
 </li>
 <li>
 Experience with large-scale, distributed data systems
 
 
 </li>
 </ul>
 
 What Success Looks Like
 
 
 
 <ul>
 <li>
 Highly optimized and scalable data pipelines running on Redshift
 </li>
 <li>
 Reliable orchestration with minimal downtime and strong observability
 </li>
 <li>
 Efficient handling of large datasets with improved query performance
 </li>
 <li>
 Well-architected data platform aligned with modern engineering standards
 
 
 </li>
 </ul>
 
 
 Why Join Through HireOn
 
 
 
 
 <ul>
 <li>
 Opportunity to work with a globally recognized client on high-impact data initiatives
 </li>
 <li>
 Exposure to modern cloud data technologies and large-scale systems
 </li>
 <li>
 Hybrid work flexibility within Pakistan
 </li>
 <li>
 Career growth into data architecture and platform leadership roles
 
 
 </li>
 </ul>
 Skills: apache airflow,python,plsql,aws,amazon redshift
</div>

Principal Data Engineer – AWS Redshift & Data Platforms

EmiGrants

Assistant Manager &ndash; Sales @ Emigrants Karachi | Full-timeThe Role We need a go-getter who can turn chats into deals and lead a team to win big. If you&rsquo;re target-driven, people-smart, and love the hustle &mdash; this is your vibe.What You&rsquo;ll Do<ul><li>Support &amp; execute sales strategies</li><li>Lead, motivate &amp; hype the sales team</li><li>Track performance + spot growth opportunities</li><li>Build strong client relationships</li><li>Handle leads &amp; close deals</li><li>Keep the energy high and results higher</li></ul>What We Want<ul><li>2&ndash;4 years in sales (team lead = bonus points)</li><li>Strong communication &amp; negotiation skills</li><li>Data-driven + target-focused mindset</li><li>Organized, proactive &amp; solution-oriented</li></ul>You&rsquo;ll Stand Out If<ul><li>You chase targets, not just meet them</li><li>You bring energy &amp; leadership</li><li>You take ownership (no waiting around)</li></ul>What You Get<ul><li>Salary: 40K&ndash;100K + Commission</li><li>Quarterly performance bonuses</li><li>Growth + learning opportunities</li><li>Supportive, fun team environment</li></ul>Apply now &amp; let&rsquo;s build something big together!Job Type: Full-timePay: Rs40,000.00 - Rs100,000.00 per monthWork Location: In person

Assistant Manager - Sales

Qureos

AI Engineer Company:** Qureos Location:** Karachi, Pakistan Employment Type:** Full-Time About Qureos Qureos is a dynamic and forward-thinking organisation dedicated to shaping the future of career development. We are committed to empowering professionals by connecting them with meaningful opportunities, mentorship, and the skills needed to thrive in a competitive landscape. Our innovative platform leverages technology to bridge the gap between talent and industry, and we are now seeking a talented AI Engineer to join our pioneering team. Job Overview We are looking for a highly skilled and motivated AI Engineer to join our team in Karachi. The ideal candidate will be passionate about artificial intelligence and its application in solving real-world challenges. You will play a crucial role in designing, developing, and deploying cutting-edge AI and machine learning models that power our platform's core features, from intelligent job matching and skill analysis to personalised career guidance. This is an exciting opportunity to make a significant impact within a growing company at the forefront of the EdTech and recruitment industries. Responsibilities - Design, build, and deploy robust machine learning models to enhance our platform's capabilities. - Develop and refine recommendation systems to accurately match candidates with relevant job opportunities, projects, and mentors. - Utilise Natural Language Processing (NLP) techniques to analyse and interpret data from resumes, job descriptions, and user interactions. - Collaborate with cross-functional teams, including software engineers, product managers, and data scientists, to integrate AI solutions into our products. - Manage the end-to-end lifecycle of AI models, including data collection, preprocessing, training, evaluation, and deployment. - Stay current with the latest advancements in AI, machine learning, and deep learning to drive continuous innovation. - Ensure the ethical and responsible use of AI, maintaining fairness and avoiding bias in all models. - Optimise AI models for performance, scalability, and efficiency. Qualifications - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field. - Proven commercial experience as an AI Engineer, Machine Learning Engineer, or in a similar role. - Strong programming proficiency in Python and extensive experience with key AI/ML libraries such as TensorFlow, PyTorch, and scikit-learn. - Solid understanding of machine learning algorithms, deep learning, NLP, and statistical modelling. - Experience with data processing and analysis using tools like Pandas and NumPy. - Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) and MLOps practices is highly desirable. - Excellent problem-solving abilities and a creative, analytical mindset. - Strong communication skills and the ability to work effectively in a collaborative team environment. Benefits - A competitive salary and comprehensive benefits package. - Opportunities for professional development and continuous learning. - A vibrant and supportive work culture that encourages innovation and collaboration. - The chance to work on meaningful projects that directly impact people's careers. - Flexible and modern working environment.

AI Engineer

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576 big data engineer jobs In Karachi

Big Data Engineer

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Principal Data Engineer – AWS Redshift & Data Platforms

Assistant Manager - Sales

AI Engineer