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data engineer

Techbridge Consultancy Services

We are looking for a motivated Data Engineer with 3+ years of experience to join our growing data team. You will be responsible for building, optimizing, and maintaining data pipelines and solutions that support business intelligence, analytics, and automation. This is an onsite role in our Lahore office.Key Responsibilities<ul><li>Develop, maintain, and optimize ETL/ELT pipelines using Python and related libraries (Pandas, NumPy, PySpark).</li><li>Write and optimize complex SQL queries for PostgreSQL, SQL Server, and other RDBMS.</li><li>Work with AWS Cloud services (S3, Lambda, Glue, Athena, Step Functions, EventBridge) to design and manage scalable data workflows.</li><li>Handle data ingestion, transformation, and validation for reporting and analytics.</li><li>Automate manual processes and integrate data flows across different systems.</li><li>Collaborate with analysts and business teams to ensure reliable and timely delivery of datasets and reports.</li><li>Use Excel and other BI tools for quick data analysis and validation.</li><li>Ensure data quality, security, and compliance in all data operations.</li></ul>Required Skills<ul><li>3+ years of professional experience in data engineering, ETL, or backend development.</li><li>Strong proficiency in Python (Pandas, NumPy, PySpark).</li><li>Solid knowledge of SQL (PostgreSQL, SQL Server, or similar).</li><li>Experience with AWS Cloud services (S3, Lambda, Glue, Athena, Step Functions, EventBridge).</li><li>Hands-on experience in Excel for data validation and reporting.</li><li>Familiarity with data warehousing concepts and big data tools.</li><li>Understanding of data modeling, schema design, and performance optimization.</li><li>Strong problem-solving, analytical, and communication skills.</li></ul>Preferred<ul><li>Experience with job orchestration tools (Airflow, Step Functions, etc.).</li><li>Exposure to BI/Reporting tools (e.g., Power BI, QuickSight, Tableau).</li><li>Knowledge of APIs, REST, and data integration techniques.</li><li>Experience with Git and version control.</li></ul>What We Offer<ul><li>Opportunity to work with modern data engineering tools and AWS Cloud.</li><li>Professional growth in a collaborative and supportive environment.</li><li>Onsite role at a prime location in Gulberg III, Lahore</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>How many years of professional experience do you have working with Python for data engineering or ETL pipelines?</li><li>How would you rate your proficiency in writing and optimizing SQL queries?</li><li>Are you comfortable working full-time onsite from 2:00 PM to 11:00 PM (PKT) in Gulberg III, Lahore?</li></ul>Work Location: In person

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>
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 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.
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 <li>
 Design and implement relational database schemas and indexing strategies.
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 Ensure data integrity, security, and compliance within SQL Server environments.
 </li>
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 Work with MongoDB for storing and querying unstructured or semi-structured data.
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 Design document-based data models and manage performance tuning for MongoDB.
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 Handle replication and backup strategies where applicable.
 </li>
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 Analyze complex data requirements and translate them into efficient technical solutions.
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 Identify data-related issues, perform root-cause analysis, and deliver timely resolutions.
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 Work closely with data analysts, software engineers, and business stakeholders to understand requirements.
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 Participate in code reviews, team planning sessions, and cross-functional meetings.
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 Take ownership of assigned tasks with accountability and attention to detail.
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 Exhibit a proactive approach to delivering solutions and supporting team goals.
 </li>
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 Contribute to architectural discussions and recommend improvements based on industry best practices.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
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 Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related field.
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 2&ndash;3 years of experience in data engineering or database development roles.
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 Strong proficiency in SQL Server (T-SQL, indexing, optimization).
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 Hands-on experience with MongoDB or other NoSQL technologies.
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 Familiarity with data pipeline tools and ETL development.
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 Working knowledge of Python or similar scripting languages.
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 Understanding of data modeling, normalization, and data warehousing concepts.
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 Strong analytical thinking and problem-solving skills.
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 Excellent communication and teamwork abilities.
 </li>
 </ul>
</div>

Data Engineer, Tech

NorthBay Solutions

<div>
 &nbsp;
 
 
 
 
 
 
 
 Job Title:
 
 
 
 
 
 
 
 
 
 
 
 
 Data Engineer (Snowflake)
 
 
 
 
 
 
 
 
 
 
 
 
 
 Location:
 
 
 
 
 
 
 
 
 
 
 
 
 Hybrid - Lahore, Karachi, Islamabad
 
 
 
 
 
 
 
 
 
 
 
 
 
 Experience:
 
 
 
 
 
 
 
 
 
 
 
 
 6-8 years (Minimum 4-6 years of Snowflake experience)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Job Category:
 
 
 
 
 
 
 
 
 
 
 
 
 Data Engineering
 
 
 
 
 
 
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 Database Design &amp; Development:
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 Utilize Snowflake to design, develop, and optimize data architecture.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Work with PostgreSQL and other databases to manage and manipulate data.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Lead conversion projects from SQL-based platforms to Snowflake.
 
 
 
 
 
 
 </li>
 </ul>
 </li>
 <li>
 
 
 
 
 
 
 Programming &amp; Scripting:
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 Develop robust applications and scripts using C#, Java, and Python, or other relevant technologies.
 
 
 
 
 
 
 </li>
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 Write efficient Snowflake functions and stored procedures using JavaScript.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Implement big data solutions using Spark and PySpark (Plus).
 
 
 
 
 
 
 </li>
 </ul>
 </li>
 <li>
 
 
 
 
 
 
 Cloud Integration:
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 Implement data storage solutions using Amazon S3 (AWS).
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Integrate and manage data pipelines using AWS Glue (Plus).
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Utilize AWS Lambda for serverless computing (Plus).
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Contribute to cloud data strategies involving GCP (Plus).
 
 
 
 
 
 
 </li>
 </ul>
 </li>
 <li>
 
 
 
 
 
 
 Additional Database Management:
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 Work with Aurora and MSSQL for various data management tasks (Plus).
 
 
 
 
 
 
 </li>
 </ul>
 </li>
 </ul>
 
 
 
 
 
 
 Required Skills:
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 Languages:
 
 
 
 
 
 
 
 
 
 
 
 
 C#, Java, Python, or other relevant technologies
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Database:
 
 
 
 
 
 
 
 
 
 
 
 
 Snowflake (Design, Develop), PostgreSQL
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Cloud Tools:
 
 
 
 
 
 
 
 
 
 
 
 
 Amazon S3 (AWS)
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Scripting:
 
 
 
 
 
 
 
 
 
 
 
 
 JavaScript (for Snowflake functions and stored procedures)
 
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 
 Preferred Skills:
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 Big Data Technologies:
 
 
 
 
 
 
 
 
 
 
 
 
 Spark, PySpark
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Cloud Tools:
 
 
 
 
 
 
 
 
 
 
 
 
 AWS Glue, AWS Lambda, GCP
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Database:
 
 
 
 
 
 
 
 
 
 
 
 
 Aurora, MSSQL
 
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 
 Conversion:
 
 
 
 
 
 
 
 
 
 
 
 
 SQL to Snowflake code conversion
 
 
 
 
 
 
</div>

Data Engineer(Snow Flake)

Brand786 LTD

We are looking for a Data Analyst / Analytics Engineer to design and manage a modern data infrastructure that centralizes business data and delivers actionable insights across sales, marketing, and operations.Key Responsibilities<ul><li>Design and manage cloud-based data architecture</li><li>Build and maintain ETL/ELT data pipelines</li><li>Integrate data from CRM, marketing, website analytics, and operational systems</li><li>Develop interactive dashboards and reporting systems</li><li>Deliver weekly, monthly, and quarterly business reports</li><li>Analyze data to identify trends, insights, and performance improvements</li><li>Implement data governance, quality checks, and security standards</li><li>Collaborate with department heads to translate business needs into data insights</li></ul>Required Skills<ul><li>Advanced SQL</li><li>Experience with Python or R</li><li>Strong knowledge of data pipelines and ETL processes</li><li>Experience with BI tools (Power BI, Tableau, Looker, etc.)</li><li>Strong understanding of data modelling and analytics</li></ul>Preferred Skills<ul><li>Experience with Google Cloud or Microsoft Azure</li><li>Experience building data infrastructure from scratch</li><li>Knowledge of sales, marketing, and operational analytics</li></ul>Job Type: Full-timeLanguage:<ul><li>English (Required)</li></ul>Work Location: In person

Data Analyst

Datamatics Global Services Ltd

<div>Job Title: Data Integration / ETL Developer (Oracle Cloud Data Integration) 
Location: Offshore 
Experience: 5+ Years<h3 class="jobSectionHeader">
Job Summary</h3>
We are seeking an experienced Data Integration / ETL Developer responsible for designing and developing data ingestion and transformation pipelines to support enterprise analytics and reporting solutions. The ideal candidate will work with large datasets and build scalable ETL workflows that feed data into the analytics layer used for dashboards and business intelligence reports.
The role requires strong expertise in Oracle Cloud Data Integration (OCI Data Integration) or similar ETL platforms, along with advanced SQL and data transformation skills. The candidate will collaborate closely with BI developers and analysts to ensure that data structures and pipelines effectively support reporting and analytics requirements.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Develop and maintain data ingestion and transformation pipelines using Oracle Cloud Data Integration.</li><li>
Design and implement ETL workflows to extract, transform, and load data into the analytics data layer.</li><li>
Build and maintain data mappings and transformation logic to support business reporting requirements.</li><li>
Support data preparation, cleansing, and dataset creation for dashboards and analytics solutions.</li><li>
Troubleshoot and resolve data pipeline issues, failures, and data availability problems.</li><li>
Collaborate with BI developers and analysts to ensure data structures support reporting and dashboard requirements.</li><li>
Optimize ETL pipelines for performance, reliability, and scalability.</li><li>
Ensure proper documentation of data pipelines, mappings, and transformation rules.</li><li>
Follow data governance and best practices for data integration and quality management.</li></ul><h3 class="jobSectionHeader">
Required Skills &amp; Qualifications</h3><ul><li>
Hands-on experience with Oracle Cloud Data Integration (OCI DI) or similar ETL tools.</li><li>
Strong proficiency in SQL and data transformation techniques.</li><li>
Experience designing and developing ETL pipelines for analytics and reporting solutions.</li><li>
Knowledge of data modelling concepts and data warehousing principles.</li><li>
Ability to work with large datasets and complex data transformation logic.</li><li>
Strong troubleshooting and problem-solving skills.</li><li>
Good collaboration skills to work with BI developers, analysts, and data teams.</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Experience with cloud-based data platforms and analytics environments.</li><li>
Familiarity with data warehousing architectures such as star schema and dimensional modelling.</li><li>
Exposure to Agile or iterative data engineering development practices.</li></ul>
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Data Integration / ETL Developer (Oracle Cloud Data Integration)

OOP Technologies

Job Title: AI Engineer Company: OOP Technologies Location: Iqbal Town, Lahore Shift Timing: 9:00 PM &ndash; 6:00 AM (Night Shift) Experience Required: 2 to 4 YearsJob Description: OOP Technologies is seeking a skilled and motivated AI Engineer to join our growing team. The ideal candidate will be responsible for designing, developing, and deploying AI-driven solutions to support business operations and enhance product capabilities. You will work on real-world applications involving machine learning, data analysis, and automation, particularly for international (USA-based) projects.Key Responsibilities:<ul><li>Develop, train, and optimize machine learning and deep learning models</li><li>Design and implement AI solutions for automation and data-driven decision-making</li><li>Work with large datasets, perform data preprocessing, and feature engineering</li><li>Integrate AI models into production systems and APIs</li><li>Collaborate with cross-functional teams including developers, analysts, and project managers</li><li>Monitor model performance and continuously improve accuracy and efficiency</li><li>Stay updated with the latest advancements in AI and emerging technologies</li></ul>Requirements:<ul><li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, or related field</li><li>2&ndash;4 years of hands-on experience in AI/ML development</li><li>Strong knowledge of Python and libraries such as TensorFlow, PyTorch, or Scikit-learn</li><li>Experience with data analysis, NLP, or computer vision is a plus</li><li>Familiarity with cloud platforms (AWS, Azure, or GCP) is preferred</li><li>Strong problem-solving and analytical skills</li><li>Ability to work in a fast-paced night shift environment</li></ul>What We Offer:<ul><li>Competitive salary package</li><li>Opportunity to work on international (USA-based) projects</li><li>Career growth and learning opportunities</li><li>Supportive and professional work environment</li></ul>Apply Now: Send your CV to: hr.ooptechnologies@gmail.com WhatsApp: 0323-7846800Job Type: Full-timePay: Rs200,000.00 - Rs350,000.00 per monthWork Location: In person

AI Engineer

Greaves Pakistan Pvt.Ltd

<ul><li>Candidate be Graduate Engineer in Electrical / Electronics with 1-2 years expereince of after sales / services sales of power back up products ( UPS, Generators etc.)</li><li>Generating after sales revenues through selling of Services Level Agreements with the corporate / individual clients, banks, offices, business entities etc.</li><li>Maintaining strong relationship with business clients and maintain segment data and sharing segment analytics on consistent basis.</li></ul>Work Location: In person

Services Sales Engineer - Power Backup Equipment

Explore 324+ Data engineer in Lahore Pakistan this April. Find roles across top companies and apply now to boost your career.