business developer

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data engineer

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data developer

Murkez Technologies

<div>
 
 We are looking for an experienced and detail-oriented
 
 Data Warehouse Developer
 
 to design, build, and maintain scalable and robust data infrastructure for the organization. The ideal candidate will have a strong understanding of data warehousing concepts, database architecture, ETL processes, and performance optimization techniques. This role requires close collaboration with business, analytics, and BI teams to ensure efficient data storage, transformation, and availability for reporting and decision-making.
 
 
 
 Responsibilities:
 
 
 
 &middot; Design and implement data warehouse schemas, including
 
 star
 
 and
 
 snowflake
 
 models.
 
 
 
 &middot; Develop, optimize, and maintain database tables, views, indexes, and related objects for performance and scalability.
 
 
 
 &middot; Build and manage
 
 ETL pipelines
 
 to ingest, clean, transform, and load data from multiple internal and external sources.
 
 
 
 &middot; Work closely with business and analytics teams to define data structures, data requirements, and storage strategies.
 
 
 
 &middot; Manage end-to-end data integration, transformation, and loading processes across various systems and environments.
 
 
 
 &middot; Develop and maintain scripts, workflows, or scheduled jobs to automate data ingestion and processing tasks.
 
 
 
 &middot; Ensure
 
 data integrity
 
 , accuracy, and consistency in staging, warehouse, and production environments.
 
 
 
 &middot; Monitor and tune database performance, including query optimization, indexing strategies, and workload management.
 
 
 
 &middot; Implement and maintain data security measures, access control policies, and backup/recovery procedures.
 
 
 
 &middot; Collaborate with BI developers to support efficient reporting, modeling, and analytics.
 
 
 
 &middot; Document data models, data flows, architecture designs, and implementation decisions for ongoing maintenance and knowledge sharing.
 
 
 
 
 Requirements
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems, or a related discipline.
 
 </li>
 <li>
 
 3&ndash;5 years of experience
 
 in data warehouse or database development.
 
 </li>
 <li>
 Strong knowledge of data warehouse concepts including ETL, OLAP, dimensional modeling, and normalization/denormalization.
 
 </li>
 <li>
 Expertise in
 
 SQL
 
 and experience with one or more major RDBMS such as PostgreSQL, MySQL, SQL Server, or Oracle.
 
 </li>
 <li>
 Proficiency in schema design, table structuring, indexing, and query performance optimization.
 
 </li>
 <li>
 Hands-on experience with ETL tools such as
 
 Airflow
 
 ,
 
 SSIS
 
 , or similar platforms.
 
 </li>
 <li>
 Familiarity with cloud-based data platforms such as
 
 AWS Redshift
 
 or
 
 Google Big Query
 
 is a plus.
 
 </li>
 <li>
 Understanding of data governance, security, and compliance standards.
 
 </li>
 <li>
 Strong analytical, debugging, and problem-solving skills.
 
 </li>
 <li>
 Ability to work collaboratively in a dynamic, fast-paced environment.
 
 </li>
 </ul>
 
 Timings:
 
 
 <ul>
 <li>
 5:00 PM to 2:00 AM &ndash; Pakistan Standard Time (Hybrid)
 
 </li>
 </ul>
</div>

Data Warehouse Developer

Prima Systems

Location: On-Site Department: Data &amp; Analytics Reporting to: Manager, Data AnalyticsAbout the RoleWe are seeking a highly skilled BI Developer (Front-End) to design, build, and enhance business intelligence dashboards and analytics solutions. This role focuses exclusively on visualization, data modeling within BI tools, user experience, and requirements gathering, while our Data Engineering team manages all backend pipelines, data warehouses, and ETL processes.The ideal candidate understands how to turn clean, prepared datasets into intuitive, actionable insights for business stakeholders.Key ResponsibilitiesDashboarding &amp; Visualization<ul><li>Develop high-quality, interactive dashboards and reports in Power BI / Tableau / Looker.</li><li>Transform clean, curated datasets into user-friendly visualizations and self-service analytics.</li><li>Optimize reports for performance, usability, and clarity, including DAX/MDX calculations (if Power BI).</li><li>Implement visualization best practices for KPIs, trends, drill-downs, slicers, and navigation flows.</li></ul>Front-End Data Modeling &amp; Logic<ul><li>Create semantic models, relationships, hierarchies, KPIs, and calculated fields within the BI tool.</li><li>Apply strong understanding of star-schema reporting, calendar tables, metrics, and data modeling inside the BI layer.</li><li>Collaborate with the Data Engineer to communicate any data structure needs.</li></ul>Business Requirements &amp; UX Design<ul><li>Work directly with business users to gather requirements and translate them into analytical solutions.</li><li>Build mockups / wireframes for dashboards before development.</li><li>Ensure dashboards are intuitive, visually appealing, and aligned with business workflows.</li></ul>Quality Assurance &amp; Documentation<ul><li>Perform thorough QA on dashboards to ensure data accuracy and consistency.</li><li>Document data definitions, dashboard logic, and user guides.</li><li>Support user training, onboarding, and adoption of BI reports.</li></ul>Required Qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Analytics, Information Systems, Finance or related field.</li><li>2&ndash;5 years of experience as a BI Developer, Data Analyst, or similar role.</li><li>Proficiency in Power BI.</li><li>Strong understanding of visualization best practices and analytical storytelling.</li><li>Experience with data modeling concepts (facts, dimensions, star schema).</li><li>Strong DAX / calculated fields experience.</li><li>Ability to work with business teams to define KPIs and reporting requirements.</li><li>Excellent communication and presentation skills.</li></ul>Job Type: Full-timeWork Location: In person

BI Developer (Front-End / Visualization)

Marham

<div>
 <li>
 
 Build and maintain data pipelines using Python and Apache Spark.
 
 
 </li>
 <li>
 
 Orchestrate workflows using Airflow and Google Cloud Workflows (CloudFlow).
 
 
 </li>
 <li>
 
 Develop, deploy, and manage containerized data services using Docker and Cloud Run.
 
 
 </li>
 <li>
 
 Design, optimize, and monitor datasets and queries in BigQuery.
 
 
 </li>
 <li>
 
 Ingest, transform, and integrate external data through REST APIs.
 
 
 </li>
 <li>
 
 Manage data lifecycle and storage using Google Cloud Storage (GCS).
 
 
 </li>
 <li>
 
 Implement data quality, monitoring, and observability best practices.
 
 
 </li>
 <li>
 
 Collaborate with cross-functional engineering, product, and data science teams.
 
 
 
 
 
 </li>
 Requirements
 
 
 <ul>
 <li>
 
 2&ndash;4+ years of experience as a Data Engineer or similar role.
 
 
 </li>
 <li>
 
 Strong proficiency in Python, SQL, and Spark/PySpark.
 
 
 </li>
 <li>
 
 Hands-on experience with Airflow and cloud-native orchestration (e.g., Cloud Workflows).
 
 
 </li>
 <li>
 
 Experience with Docker, containers, and deploying services in Cloud Run.
 
 
 </li>
 <li>
 
 Skilled with BigQuery, GCS, and general GCP data tooling.
 
 
 </li>
 <li>
 
 Experience working with REST APIs and building ingestion integrations.
 
 
 </li>
 <li>
 
 Solid understanding of data modeling, ETL/ELT pipelines, and distributed systems.
 
 
 </li>
 </ul>
 
 
 Bonus:
 
 Experience with healthcare data standards (FHIR, HL7) or regulated environments.
 
 
 
 
 
 Benefits
 
 
 <li>
 
 Competitive salary and performance-based incentives
 
 
 </li>
 <li>
 
 Flexible work arrangements / hybrid work options
 
 
 </li>
 <li>
 
 Paid time off and public holidays
 
 
 </li>
 <li>
 
 Professional development opportunities (training, workshops, certifications)
 
 
 </li>
 <li>
 
 Supportive, collaborative, and mission-driven work culture
 
 
 </li>
 <li>
 
 Employee wellness programs and mental health support
 
 
 </li>
</div>

Data Engineer

ibex

<div>
 We are seeking a highly motivated and responsible
 
 Data Engineer
 
 to join our dynamic team. This role requires hands-on experience in building scalable data pipelines, managing structured and unstructured databases, and supporting end-to-end data operations. The ideal candidate will bring strong problem-solving skills, a collaborative mindset, and a commitment to data excellence.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and manage reliable and scalable data pipelines.
 </li>
 <li>
 Clean, validate, and transform data from multiple sources for analytics and operational use.
 </li>
 <li>
 Work with large datasets and ensure high data quality and availability.
 </li>
 <li>
 Develop and maintain ETL workflows using standard tools and scripting.
 </li>
 <li>
 Automate data extraction, transformation, and loading processes across systems.
 </li>
 <li>
 Monitor and optimize performance of data workflows for speed and efficiency.
 </li>
 <li>
 Develop, maintain, and optimize complex SQL queries, stored procedures, functions, and views.
 </li>
 <li>
 Design and implement relational database schemas and indexing strategies.
 </li>
 <li>
 Ensure data integrity, security, and compliance within SQL Server environments.
 </li>
 <li>
 Work with MongoDB for storing and querying unstructured or semi-structured data.
 </li>
 <li>
 Design document-based data models and manage performance tuning for MongoDB.
 </li>
 <li>
 Handle replication and backup strategies where applicable.
 </li>
 <li>
 Analyze complex data requirements and translate them into efficient technical solutions.
 </li>
 <li>
 Identify data-related issues, perform root-cause analysis, and deliver timely resolutions.
 </li>
 <li>
 Work closely with data analysts, software engineers, and business stakeholders to understand requirements.
 </li>
 <li>
 Participate in code reviews, team planning sessions, and cross-functional meetings.
 </li>
 <li>
 Take ownership of assigned tasks with accountability and attention to detail.
 </li>
 <li>
 Exhibit a proactive approach to delivering solutions and supporting team goals.
 </li>
 <li>
 Contribute to architectural discussions and recommend improvements based on industry best practices.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related field.
 </li>
 <li>
 2&ndash;3 years of experience in data engineering or database development roles.
 </li>
 <li>
 Strong proficiency in SQL Server (T-SQL, indexing, optimization).
 </li>
 <li>
 Hands-on experience with MongoDB or other NoSQL technologies.
 </li>
 <li>
 Familiarity with data pipeline tools and ETL development.
 </li>
 <li>
 Working knowledge of Python or similar scripting languages.
 </li>
 <li>
 Understanding of data modeling, normalization, and data warehousing concepts.
 </li>
 <li>
 Strong analytical thinking and problem-solving skills.
 </li>
 <li>
 Excellent communication and teamwork abilities.
 </li>
 </ul>
</div>

Data Engineer, Tech

H2o Labs

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

The Services Tree Enterprises 

Job Description: SourceTeK is hiring a Data Engineer for one of our clients based in Johar Town, Lahore. We are looking for a motivated professional with 2&ndash;3+ years of experience in data engineering, especially someone who has hands-on experience with DBT tools and a strong understanding of modern data pipelines.Key Responsibilities:<ul><li>Build, maintain, and optimize data pipelines</li><li>Work with DBT tools for data modeling and transformations</li><li>Collaborate with cross-functional teams to ensure data accuracy and availability</li><li>Troubleshoot and optimize data workflows</li></ul>Requirements:<ul><li>2&ndash;3+ years of experience as a Data Engineer</li><li>Strong experience with DBT tools</li><li>Proficiency in SQL and data pipeline development</li><li>Experience with cloud platforms is a plus</li><li>Strong analytical and problem-solving skills</li></ul>How to Apply: If you&rsquo;re interested, please send your resume to talent@sourcetek.co or apply through Indeed.Job Type: Full-timePay: Rs120,000.00 - Rs200,000.00 per monthExperience:<ul><li>Data Engineer: 2 years (Preferred)</li></ul>Work Location: In person

Osol

<div>
 
 
 Company Overview
 
 
 
 Osol Tech Pvt. Ltd. is a fast-growing software development and professional services company, pioneering AI/ML-driven innovation across industries. We empower organizations in manufacturing, healthcare, retail, and e-commerce to make smarter, data-driven decisions through advanced analytics, predictive modeling, and AI solutions. Our culture fosters continuous learning, collaboration, and innovation at scale.
 
 
 
 
 
 
 Job Summary
 
 
 
 We are seeking a Senior Data Scientist to lead the design and implementation of advanced analytics and data science solutions. This role requires a strong foundation in statistics, machine learning, data engineering, and domain-driven problem solving.
 
 
 
 
 
 The ideal candidate will have experience building end-to-end data science solutions &mdash; from exploratory data analysis and feature engineering to production-ready models and business insights. You will collaborate closely with engineers, analysts, and business stakeholders to drive measurable outcomes.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, build, and evaluate predictive and prescriptive models (regression, classification, forecasting, clustering, recommendation systems).
 </li>
 <li>
 Apply advanced ML methods (gradient boosting, ensemble models, transformers for tabular/text, probabilistic models).
 </li>
 <li>
 Conduct A/B tests and causal inference to measure business impact.
 </li>
 <li>
 Perform exploratory data analysis (EDA) using statistical and visualization tools.
 </li>
 <li>
 Translate data findings into actionable insights with clear storytelling for non-technical audiences.
 </li>
 <li>
 Build dashboards and reports to support decision-making.
 </li>
 <li>
 Work with SQL, Spark, Dask, or BigQuery to process and transform large datasets.
 </li>
 <li>
 Collaborate with data engineers to ensure high-quality, reliable data pipelines.
 </li>
 <li>
 Apply feature engineering, data augmentation, and missing data handling strategies.
 </li>
 <li>
 Contribute to model deployment using MLflow, SageMaker, Vertex AI, or Azure ML.
 </li>
 <li>
 Support model monitoring and retraining strategies.
 </li>
 <li>
 Use Python (Pandas, NumPy, Scikit-learn, Statsmodels, PyTorch/TensorFlow), R, SQL, and Jupyter for analysis and modeling.
 </li>
 <li>
 Use visualization &amp; BI tools (Matplotlib, Seaborn, Plotly, Power BI, Tableau, Looker).
 </li>
 <li>
 Track experiments with MLflow, DVC, or Weights &amp; Biases.
 </li>
 <li>
 Partner with product managers and business teams to frame problems and define success metrics.
 </li>
 <li>
 Mentor junior data scientists and analysts.
 </li>
 <li>
 Champion data-driven decision-making across the organization.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications &amp; Skills
 
 
 <ul>
 <li>
 Strong programming skills in Python and SQL; familiarity with R or Julia is a plus.
 </li>
 <li>
 Solid foundation in statistics, probability, linear algebra, and hypothesis testing.
 </li>
 <li>
 Experience with machine learning techniques (supervised/unsupervised learning, ensembles, time series).
 </li>
 <li>
 Proficiency with data visualization and ability to communicate insights effectively.
 </li>
 <li>
 Hands-on experience with big data tools (Spark, Dask, BigQuery).
 </li>
 <li>
 Cloud experience with AWS, GCP, or Azure for data science workflows.
 </li>
 <li>
 Familiarity with version control (Git), experiment tracking, and reproducible workflows.
 </li>
 <li>
 Excellent communication, collaboration, and problem-solving skills.
 </li>
 <li>
 Proven ability to mentor junior engineers and lead initiatives.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Domain expertise in manufacturing, healthcare, retail, or e-commerce applications.
 </li>
 <li>
 Experience with NLP or computer vision applied to data-rich use cases.
 </li>
 <li>
 Hands-on experience with causal inference, Bayesian methods, or reinforcement learning for experimentation.
 </li>
 <li>
 Prior open-source contributions, publications, or patents.
 </li>
 <li>
 Experience with BI/analytics strategy and executive-level presentations.
 </li>
 </ul>
 
 
 
 
 
 Education &amp; Experience
 
 
 
 &bull; Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
 
 
 &bull; PhD or strong research experience is a plus, but not required.
 
 
 &bull; 5&ndash;7+ years of professional experience in data science or advanced analytics, with evidence of driving business impact.
 
 
 
 
 
 
 What We Offer
 
 
 <ul>
 <li>
 High-impact data science projects that solve real-world problems.
 </li>
 <li>
 Continuous learning opportunities with cloud credits, courses, and conference sponsorships.
 </li>
 <li>
 Competitive salary, benefits, and performance-based incentives.
 </li>
 <li>
 Flexible hybrid/remote working environment.
 </li>
 <li>
 A culture of collaboration, innovation, and knowledge sharing.
 </li>
 </ul>
 
 
 
</div>

Senior Data Scientist

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1094 data developer jobs IN Lahore

Data Warehouse Developer

BI Developer (Front-End / Visualization)

Data Engineer

Data Engineer, Tech

Data Engineer

Data Engineer

Senior Data Scientist