business developer

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data developer

Cyngro

Role Overview:As a Blockchain Developer, you will design, implement, and optimize smart contracts and blockchain-based solutions. You&rsquo;ll collaborate with a team of engineers, designers, and product managers to bring decentralized applications to life and ensure their reliability, security, and scalability.Key Responsibilities:<ul><li>Design and develop smart contracts on platforms such as Ethereum, Solana, Polygon, or Binance Smart Chain.</li><li>Build and maintain dApps (decentralized applications) and related backend services.</li><li>Integrate blockchain solutions with existing systems and APIs.</li><li>Conduct code reviews and ensure smart contract security best practices.</li><li>Collaborate with the team to design blockchain architecture, consensus mechanisms, and on-chain/off-chain interactions.</li><li>Stay current with emerging blockchain trends, frameworks, and technologies.</li></ul>Qualifications:Required:<ul><li>1-3 years of proven experience as a Blockchain Developer or similar role.</li><li>Strong proficiency in Solidity, Rust, Go, or JavaScript/TypeScript.</li><li>Hands-on experience with web3.js, ethers.js, or similar libraries.</li><li>Understanding of blockchain fundamentals (cryptography, consensus algorithms, tokens, etc.).</li><li>Experience deploying and testing smart contracts.</li><li>Familiarity with DeFi, NFTs, or Layer 2 solutions is a plus.</li></ul>Preferred:<ul><li>Experience with Node.js, Python, or backend frameworks.</li><li>Familiarity with IPFS, The Graph, or Chainlink.</li><li>Experience working in Agile environments.</li><li>Contributions to open-source blockchain projects are highly valued.</li></ul>Job Type: Full-timePay: Rs80,000.00 - Rs300,000.00 per monthWork Location: In person

Blockchain Developer

Farmdar

<div>
 
 
 Job Description for Data Engineer
 
 
 
 
 
 
 
 What is Farmdar?
 
 
 
 Farmdar is an agritech company using AI and space technologies at scale for sustainable agriculture and climate adaptation. Our products&mdash;CropScan, YieldPro, and AgriChain&mdash;deliver actionable insights to farmers and agribusinesses, helping them increase yields, reduce input costs, and build climate resilience. Our mission is to become the world&rsquo;s most trusted crop insights platform.
 
 
 
 
 
 
 Job Title:
 
 Data Engineer
 
 
 
 Job Type:
 
 Permanent
 
 
 
 Location:
 
 Lahore - Hybrid
 
 
 
 
 
 
 Role Overview:
 
 
 
 We are seeking a Data Engineer with strong Python expertise to design, build, and maintain scalable data pipelines and geospatial analytics infrastructure. You'll architect and optimize complex ETL workflows using Apache Airflow, process large-scale geospatial datasets, and build robust data systems that power our analytics and mapping platforms. This role combines hands-on data engineering with infrastructure knowledge to deliver reliable, high-performance data solutions.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Data Pipeline Development: Design, build, and maintain production-grade ETL/ELT pipelines using Apache Airflow and Python for processing structured, unstructured, and geospatial data
 </li>
 <li>
 Geospatial Data Engineering: Develop spatial ETL workflows for processing GIS data, satellite imagery, vector tiles, and geospatial analytics at scale
 </li>
 <li>
 Workflow Orchestration: Create and optimize complex Airflow DAGs for data ingestion, transformation, quality validation, and delivery
 </li>
 <li>
 Data Modeling: Design efficient data models and schemas for analytics, reporting, and geospatial applications across data warehouses and spatial databases
 </li>
 <li>
 Python Development: Build reusable data processing frameworks, libraries, and tools using Python (pandas, GeoPandas, GDAL, shapely, etc.)
 </li>
 <li>
 Data Quality &amp; Monitoring: Implement data validation, quality checks, monitoring, and alerting for pipeline reliability
 </li>
 <li>
 Performance Optimization: Optimize queries, transformations, and processing jobs for performance and cost efficiency
 </li>
 <li>
 Infrastructure Support: Deploy and manage data infrastructure components using Docker, Kubernetes, and cloud services
 </li>
 <li>
 Collaboration: Partner with analysts, scientists, and engineers to understand requirements and deliver data solutions
 </li>
 <li>
 Documentation: Create comprehensive documentation for pipelines, data models, and processes
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Experience: 1+ years in data engineering roles building production data pipelines
 </li>
 <li>
 Python Expertise: Advanced Python programming skills with experience in data processing libraries (pandas, NumPy, SQL libraries)
 </li>
 <li>
 Apache Airflow: Strong hands-on experience developing, deploying, and managing Airflow for complex workflow orchestration and DAG development
 </li>
 <li>
 SQL Proficiency: Expert-level SQL for data transformation, optimization, and analytics
 </li>
 <li>
 Geospatial Processing: Experience with geospatial data formats (GeoJSON, Shapefile, GeoTIFF), tools (GDAL, GeoPandas, PostGIS), and spatial analysis
 </li>
 <li>
 Data Warehousing: Working knowledge of modern data warehouses (Snowflake, BigQuery, Redshift) and analytics platforms
 </li>
 <li>
 ETL Best Practices: Deep understanding of data pipeline patterns, incremental processing, idempotency, and error handling
 </li>
 <li>
 Cloud Platforms: Experience with AWS or GCP data services (S3, RDS, BigQuery, Cloud Storage, etc.)
 </li>
 <li>
 Version Control: Proficiency with Git and collaborative development workflows
 </li>
 <li>
 Problem Solving: Strong analytical and troubleshooting skills for complex data challenges
 </li>
 </ul>
 
 
 
 
 
 Nice to Have:
 
 
 <ul>
 <li>
 Advanced GIS: Experience with GeoServer, tile servers, spatial indexing, and map rendering pipelines
 </li>
 <li>
 Containerization: Familiarity with Docker and Kubernetes for deploying data applications
 </li>
 <li>
 Real-time Processing: Experience with streaming frameworks (Kafka, Flink, Spark Streaming)
 </li>
 <li>
 CI/CD: Understanding of automated testing and deployment for data pipelines (GitHub Actions, Jenkins)
 </li>
 <li>
 Infrastructure as Code: Exposure to Terraform or CloudFormation
 </li>
 <li>
 Scripting: Additional languages like Bash or R for automation and analysis
 </li>
 <li>
 Data Governance: Knowledge of data cataloging, lineage tracking, and metadata management
 </li>
 </ul>
 
 
 
 
 
 Equal Opportunity Provider:
 
 
 
 At Farmdar, we believe in creating an environment where everyone has an equal chance to contribute, grow, and succeed. We want all colleagues to feel welcome and comfortable in the workspace. We discourage discrimination of any kind and encourage respect among our fellow colleagues. Our recruitment process is fair for all, regardless of race, age, gender, color, religion, social status, disability or ethnicity.
 
 
 
</div>

Data Engineer

Taraki

<div>
 Taraki is hiring for one of its clients.
 
 
 Location: Remote
 
 
 Experience Level: 5 to 8 years in Data Engineering, Data Pipelines, and Cloud-based Data Platforms
 
 
 Department: Data &amp; AI Engineering
 
 
 Compensation: PKR 600,000 to 850,000 (based on experience)
 
 
 Role Summary:
 
 
 The Data Engineer will design and build large-scale, high-performance data pipelines to support segmentation, pricing simulation, and offer decisioning. They will ensure efficient data ingestion from telco systems (CDRs, usage, recharge, offer purchase), transformation, and integration with ML models and orchestration modules.
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Design and develop scalable ETL / ELT data pipelines to process 50M+ customer records daily.
 </li>
 <li>
 Ingest data from OCS, CRM, DWH, and Adobe RT-CDP or other customer data platforms.
 </li>
 <li>
 Build and maintain Customer Profile Store and Feature Store for real-time and batch processing.
 </li>
 <li>
 Implement data validation, quality, and lineage frameworks.
 </li>
 <li>
 Optimize query performance and cost efficiency for batch and streaming workloads.
 </li>
 <li>
 Collaborate with Data Scientists to prepare model training datasets and deploy inference pipelines.
 </li>
 <li>
 Integrate outputs with Decision Engine and Real-Time Offer Orchestration Module.
 </li>
 <li>
 Automate pipelines using CI/CD and maintain environment configurations across Dev, UAT, and Prod.
 
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
 <li>
 Strong in SQL, PySpark, and DataFrame APIs for data transformation.
 </li>
 <li>
 Expertise in Data Modeling (customer-level, event-level, offer-level).
 </li>
 <li>
 Understanding of data partitioning, schema evolution, and performance tuning.
 </li>
 <li>
 Experience in stream processing (Kafka, Spark Streaming, Kinesis).
 </li>
 <li>
 Knowledge of data quality frameworks (e.g., Great Expectations, Deequ).
 </li>
 <li>
 Familiarity with ETL orchestration tools (Airflow, dbt, or Dagster).
 </li>
 <li>
 Ability to work with cloud-native data platforms and object storage.
 
 
 
 </li>
 </ul>
 Tools &amp; Technologies
 
 
 Data Platform: Databricks, AWS Glue, Azure Data Factory, Snowflake, BigQuery
 
 
 Streaming: Kafka, Kinesis, Spark Streaming
 
 
 Storage: S3, Delta Lake, Parquet, Hive
 
 
 Workflow Orchestration: Airflow, dbt, Dagster, Prefect
 
 
 Scripting: Python, SQL, PySpark
 
 
 DevOps: Git, Jenkins, Terraform
 
 
 Monitoring &amp; Validation: Great Expectations, Deequ, DataDog
 
 
 
 Preferred (Nice-to-Have)
 
 
 
 <ul>
 <li>
 Experience with telecom datasets (Recharge, Usage, Balance, Offer Subscription).
 </li>
 <li>
 Knowledge of DecisionRules.io, n8n, or KNIME for orchestration workflows.
 </li>
 <li>
 Familiarity with Adobe AEP data schemas (XDM) or Pricefx integration.
 </li>
 <li>
 Exposure to real-time microservices (REST/GraphQL APIs) for data access.
 
 </li>
 </ul>
</div>

Prima Systems

Job Description:We are looking for a skilled Data Engineer to design, develop, and maintain robust database solutions. The ideal candidate will have expertise in writing complex SQL queries, optimizing performance, and managing database objects to support business applications and reporting needs.Key Responsibilities:<ul><li>Design and develop efficient SQL queries, stored procedures, views, and functions to support applications and reporting.</li><li>Analyze and tune slow-performing queries to improve system performance and responsiveness.</li><li>Assist in designing and updating database schemas, tables, relationships, and indexes to support evolving business requirements.</li><li>Ensure data integrity, consistency, and security across multiple environments.</li><li>Collaborate with cross-functional teams to understand data requirements and implement database solutions accordingly.</li><li>Support basic ETL processes using tools such as SSIS, ensuring reliable and timely data movement.</li><li>Document database structures, SQL logic, and processes for maintainability and knowledge sharing.</li><li>Identify and resolve data discrepancies, performance issues, and participate in data migration efforts as needed.</li></ul>Requirements:<ul><li>Strong experience in SQL Server (T-SQL), including query development, performance tuning, and stored procedure creation.</li><li>Solid understanding of database structures, normalization, and relational data modeling.</li><li>Experience with indexing strategies and query optimization techniques.</li><li>Familiarity with ETL tools like SSIS (basic to intermediate level).</li><li>Knowledge of version control systems such as Git or Azure DevOps.</li><li>Basic understanding of data warehousing concepts is an advantage but not required.</li><li>Strong problem-solving skills and attention to detail.</li></ul>Job Type: Full-timePay: Up to Rs250,000.00 per monthAbility to commute/relocate:<ul><li>Lahore: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>Are you able to join Immediately ?</li><li>This is an on site opportunity. Would you be able to commute to the office ?</li></ul>Work Location: In person

ZAPTA Technologies (Pvt.) Limited

We are looking for a skilled Data Engineer with a strong analytical mindset and hands-on experience in managing and optimizing data systems. The ideal candidate should be well-versed in data analysis, operations, and automation, with a keen eye for identifying data trends and ensuring seamless data flow across platforms.Key Responsibilities:<ul><li>Design, build, and maintain scalable data pipelines and architectures.</li><li>Perform data analysis to support decision-making and business insights.</li><li>Manage and monitor data operations, ensuring data integrity, quality, and availability.</li><li>Perform data scraping from various sources (APIs, web, and databases) to collect and process large datasets.</li><li>Collaborate with cross-functional teams (Data Analysts, Developers, Product Managers) to meet project goals and ensure data-driven solutions.</li><li>Identify, analyze, and interpret data trends or patterns to drive business strategy.</li><li>Manage data lakes and implement effective data management (data magnet) strategies for efficient storage and retrieval.</li><li>Optimize ETL processes and support automation of data workflows.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Engineering, Information Technology, or a related field.</li><li>2+ years of professional experience as a Data Engineer or in a similar data-focused role.</li><li>Proficiency in SQL, Python, and data manipulation libraries (Pandas, NumPy, etc.).</li><li>Experience with ETL tools and frameworks.</li><li>Knowledge of data lakes, data warehouses, and cloud platforms (AWS, Azure, or GCP).</li><li>Experience with data scraping tools (e.g., BeautifulSoup, Scrapy, or API integrations).</li><li>Strong understanding of data pipelines, operations, and workflow automation.</li><li>Excellent collaboration and communication skills.</li><li>Strong analytical and problem-solving abilities with attention to detail.</li></ul>Job Type: Full-timeWork Location: In person

Alpha Group of Companies

Job SummaryWe 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, 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&#61623; Design, build, and evaluate predictive and prescriptive models (regression, classification, forecasting, clustering, recommendation systems).&#61623; Apply advanced ML methods (gradient boosting, ensemble models, transformers for tabular/text, probabilistic models).&#61623; Conduct A/B tests and causal inference to measure business impact.&#61623; Perform exploratory data analysis (EDA) using statistical and visualization tools.&#61623; Translate data findings into actionable insights with clear storytelling for non-technical audiences.&#61623; Build dashboards and reports to support decision-making.&#61623; Work with SQL, Spark, Dask, or BigQuery to process and transform large datasets.&#61623; Collaborate with data engineers to ensure high-quality, reliable data pipelines.&#61623; Apply feature engineering, data augmentation, and missing data handling strategies.&#61623; Contribute to model deployment using MLflow, SageMaker, Vertex AI, or Azure ML.&#61623; Support model monitoring and retraining strategies.&#61623; Use Python (Pandas, NumPy, Scikit-learn, Statsmodels, PyTorch/TensorFlow), R, SQL,and Jupyter for analysis and modeling.&#61623; Use visualization &amp;amp; BI tools (Matplotlib, Seaborn, Plotly, Power BI, Tableau, Looker).&#61623; Track experiments with MLflow, DVC, or Weights &amp; Biases.&#61623; Partner with product managers and business teams to frame problems and definesuccess metrics.&#61623; Mentor junior data scientists and analysts.&#61623; Champion data-driven decision-making across the organization.Required Qualifications &amp;amp; Skills&#61623; Strong programming skills in Python and SQL; familiarity with R or Julia is a plus.&#61623; Solid foundation in statistics, probability, linear algebra, and hypothesis testing.&#61623; Experience with machine learning techniques (supervised/unsupervised learning,ensembles, time series).&#61623; Proficiency with data visualization and ability to communicate insights effectively.&#61623; Hands-on experience with big data tools (Spark, Dask, BigQuery).&#61623; Cloud experience with AWS, GCP, or Azure for data science workflows.&#61623; Familiarity with version control (Git), experiment tracking, and reproducibleworkflows.&#61623; Excellent communication, collaboration, and problem-solving skills.&#61623; Proven ability to mentor junior engineers and lead initiatives.Preferred Qualifications&#61623; Domain expertise in manufacturing, healthcare, retail, or e-commerce applications.&#61623; Experience with NLP or computer vision applied to data-rich use cases.&#61623; Hands-on experience with causal inference, Bayesian methods, or reinforcementlearning for experimentation.&#61623; Prior open-source contributions, publications, or patents.&#61623; Experience with BI/analytics strategy and executive-level presentations.Education &amp; Experience<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.</li><li>PhD or strong research experience is a plus, but not required.</li><li>5&ndash;7+ years of professional experience in data science or advanced analytics, with evidence of driving business impact.</li></ul>What We Offer&#61623; High-impact data science projects that solve real-world problems.&#61623; Continuous learning opportunities with cloud credits, courses, and conference sponsorships.&#61623; Competitive salary, benefits, and performance-based incentives.&#61623; Flexible hybrid/remote working environment.&#61623; A culture of collaboration, innovation, and knowledge sharing.Job Type: Full-timePay: Rs450,000.00 - Rs600,000.00 per monthExperience:<ul><li>Relevant: 5 years (Required)</li></ul>Location:<ul><li>Lahore (Preferred)</li></ul>Work Location: In person

Senior Data Scientist

Expert System Solution

About the Role: We are seeking a Senior Data Scientist with 6+ years of experience who possesses not only strong technical expertise but also exceptional communication and business acumen. The ideal candidate is a closer, someone who can take ownership, deliver results, and translate complex data insights into clear, actionable strategies.Responsibilities:<ul><li>Lead end-to-end data science projects from ideation to deployment.</li><li>Develop and implement predictive models, machine learning algorithms, and data-driven solutions.</li><li>Collaborate with cross-functional teams to align data insights with business objectives.</li><li>Present findings to stakeholders in a clear, concise, and impactful manner.</li><li>Work with large datasets using advanced statistical methods and tools.</li><li>Ensure timely delivery and measurable results on all assigned projects.</li></ul>Requirements:<ul><li>6+ years of proven experience as a Data Scientist or in a related role.</li><li>Proficiency in Python, R, SQL, and data visualization tools (Tableau, Power BI).</li><li>Strong understanding of machine learning, deep learning, NLP, and predictive analytics.</li><li>Hands-on experience with big data technologies (e.g., Spark, Hadoop).</li><li>Experience working with cloud platforms (AWS, GCP, or Azure).</li><li>Exceptional communication and presentation skills.</li><li>Strong problem-solving mindset with the ability to &ldquo;close the loop&rdquo; on projects.</li></ul>Why Join Us:<ul><li>Opportunity to lead impactful projects.</li><li>Collaborative and innovative environment.</li><li>Competitive salary and benefits package.</li><li>Growth-oriented role with room to take ownership.</li></ul>Job Type: Full-timeWork Location: In person

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1139 data developer jobs IN Lahore

Blockchain Developer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Senior Data Scientist

Senior Data Scientist