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associate software engineer

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InvoZone

Job descriptionInvoZone is a leading software development company headquartered in the US with offices in Canada, Malaysia and Pakistan. We offer a combination of consulting, outsourcing, and specialized services to a global clientele across all types of web and mobile app development projects. The company was launched by experienced and visionary IT professionals with more than 10 years of industry experience in the fraternity of software development.We take pride in our diversified team that consists of people from both local and international backgrounds working together to strive for excellence. If you think you have the technical skills to contribute to our fast-growing business, feel free to apply. We are looking for a Data Engineer to design, develop, and maintain scalable data pipelines and infrastructure that support analytics, reporting, and machine learning initiatives for our clients. Key Responsibilities:<ul><li>Design, build, and maintain scalable ETL/ELT pipelines for processing large datasets.</li><li>Develop and optimize data architectures and data models to support analytics and business intelligence.</li><li>Integrate data from multiple sources such as APIs, databases, and third-party platforms.</li><li>Build and maintain data warehouses and data lakes.</li><li>Ensure data quality, reliability, and performance of data pipelines.</li><li>Collaborate with data analysts, data scientists, and software engineers to support data-driven applications.</li><li>Implement data governance, security, and compliance standards.</li><li>Monitor and troubleshoot data pipeline issues and optimize performance.</li><li>Document data flows, systems, and processes for internal teams and clients.</li></ul>Required Skills &amp; Expertise:<ul><li>3&ndash;5 years of experience in data engineering or a related role.</li><li>Strong experience with SQL and relational databases.</li><li>Hands-on experience building ETL pipelines.</li><li>Proficiency in Python, Scala, or Java for data processing.</li><li>Experience with data warehousing concepts and dimensional modeling.</li><li>Familiarity with big data frameworks such as Apache Spark or Hadoop.</li><li>Experience with cloud platforms such as AWS, Azure, or GCP.</li><li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, Data Engineering, or a related field.</li></ul>Job Type: Full-timeJob Type: Full-timeWork 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>
 <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

CodeNinja

<div>About CodeNinja
CodeNinja is a full-stack AI delivery company that helps enterprises, governments, and software acquirers build and operate intelligence-driven systems for mission-critical workflows. We specialize in deploying AI into real operations&mdash;combining strong engineering fundamentals with AI-native delivery to create measurable value, resilience, and long-term ownership for our clients. Our global footprint and delivery model are supported by AI Labs, AI Pods, and Global Capability Centers, enabling teams to co-engineer scalable platforms across regions and time zones.
Role Overview
We are seeking a skilled Data Engineer with 3+ years of experience to design and build robust, scalable data pipelines supporting financial machine learning forecasting models.
You will be responsible for ingesting, cleaning, validating, and structuring complex multi-source financial datasets to enable high-quality time-series model training and analytics.
This role requires strong technical expertise in ETL/ELT pipelines, financial data processing, and data quality assurance within secure corporate environments.
Key Responsibilities<ul><li>
Design, develop, and maintain automated ETL/ELT pipelines from CSV/Excel exports within secure enterprise environments.
</li><li>Perform data cleaning, normalization, validation, and integrity checks on financial transaction datasets.
</li><li>Execute entity mapping, currency standardization, and data synthesis across multiple legal entities and G/L accounts.
</li><li>Build exploratory data analysis (EDA) pipelines, including statistical analysis of financial flow patterns and seasonality.
</li><li>Develop feature stores with pre-computed lag and rolling statistics for ML forecasting consumption.
</li><li>Ensure high data quality through validation frameworks and automated integrity checks.
</li><li>Document data pipelines, quality reports, and technical handoff materials for ML Engineering teams.
</li><li>Collaborate closely with ML engineers, domain subject matter experts, and stakeholders.</li></ul> 

Requirements 
<ul><li>
3+ years of hands-on experience building production-grade data engineering pipelines.
</li><li>Strong Python expertise (Pandas, NumPy) and SQL proficiency.
</li><li>Experience using Jupyter notebooks for EDA and reporting.
</li><li>Proven experience handling complex financial datasets (transactions, general ledger, settlements, multi-currency data).
</li><li>Strong knowledge of data validation frameworks and quality assurance methodologies.
</li><li>Experience parsing and processing large CSV/Excel datasets at scale.
</li><li>Familiarity with corporate network security protocols and access control environments.
</li><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Engineering, or a related field.
</li></ul>Nice to Have<ul><li>
Financial domain experience (intercompany transactions, treasury operations).
</li><li>Experience preparing time-series datasets for ML forecasting models.
</li><li>Exposure to orchestration tools such as Airflow, Luigi, or Prefect.
</li><li>Experience working with cloud data platforms (AWS S3, GCP BigQuery, Azure Data Lake).
</li></ul>Why Join CodeNinja?<ul><li>
Work on cutting-edge AI and financial forecasting solutions.
</li><li>Collaborate with high-performing engineers and AI specialists.
</li><li>Exposure to enterprise-grade secure environments and global clients.
</li><li>Opportunity to contribute to impactful, data-driven transformation initiatives.
</li><li>A culture that values ownership, growth, and continuous learning.
</li><li>Competitive compensation and career progression opportunities.
</li></ul>Equal Opportunity &amp; Disclaimer
CodeNinja is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions are made based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, gender, national origin, disability status, or any other characteristic protected by applicable laws.
Only shortlisted candidates will be contacted. CodeNinja reserves the right to modify the job description based on business requirements. 
Benefits 
<ul><li>
Provident Fund</li><li>
Gym Membership
</li><li>Leaves as per the company policy
</li><li>Company-paid trips
</li><li>Easy Loan Facility for Employees
</li><li>Yearly increment
</li><li>Maternity Benefits (Leaves &amp; WFH)
</li><li>Health Insurance (Maternity covered) &ndash; includes spouse and parents (till age 80)</li></ul></div>

CodeNinja Inc.

<div>
 
 About CodeNinja
 
 
 
 
 CodeNinja
 
 is a full-stack AI delivery company that helps enterprises, governments, and software acquirers build and operate intelligence-driven systems for mission-critical workflows. We specialize in deploying AI into real operations&mdash;combining strong engineering fundamentals with AI-native delivery to create measurable value, resilience, and long-term ownership for our clients. Our global footprint and delivery model are supported by AI Labs, AI Pods, and Global Capability Centers, enabling teams to co-engineer scalable platforms across regions and time zones.
 
 
 
 Role Overview
 
 
 
 We are seeking a skilled
 
 Data Engineer
 
 with 3+ years of experience to design and build robust, scalable data pipelines supporting financial machine learning forecasting models.
 
 
 You will be responsible for ingesting, cleaning, validating, and structuring complex multi-source financial datasets to enable high-quality time-series model training and analytics.
 
 
 This role requires strong technical expertise in ETL/ELT pipelines, financial data processing, and data quality assurance within secure corporate environments.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and maintain automated ETL/ELT pipelines from CSV/Excel exports within secure enterprise environments.
 </li>
 <li>
 Perform data cleaning, normalization, validation, and integrity checks on financial transaction datasets.
 </li>
 <li>
 Execute entity mapping, currency standardization, and data synthesis across multiple legal entities and G/L accounts.
 </li>
 <li>
 Build exploratory data analysis (EDA) pipelines, including statistical analysis of financial flow patterns and seasonality.
 </li>
 <li>
 Develop feature stores with pre-computed lag and rolling statistics for ML forecasting consumption.
 </li>
 <li>
 Ensure high data quality through validation frameworks and automated integrity checks.
 </li>
 <li>
 Document data pipelines, quality reports, and technical handoff materials for ML Engineering teams.
 </li>
 <li>
 Collaborate closely with ML engineers, domain subject matter experts, and stakeholders
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 3+ years of hands-on experience building production-grade data engineering pipelines.
 </li>
 <li>
 Strong Python expertise (Pandas, NumPy) and SQL proficiency.
 </li>
 <li>
 Experience using Jupyter notebooks for EDA and reporting.
 </li>
 <li>
 Proven experience handling complex financial datasets (transactions, general ledger, settlements, multi-currency data).
 </li>
 <li>
 Strong knowledge of data validation frameworks and quality assurance methodologies.
 </li>
 <li>
 Experience parsing and processing large CSV/Excel datasets at scale.
 </li>
 <li>
 Familiarity with corporate network security protocols and access control environments.
 </li>
 <li>
 Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Financial domain experience (intercompany transactions, treasury operations).
 </li>
 <li>
 Experience preparing time-series datasets for ML forecasting models.
 </li>
 <li>
 Exposure to orchestration tools such as Airflow, Luigi, or Prefect.
 </li>
 <li>
 Experience working with cloud data platforms (AWS S3, GCP BigQuery, Azure Data Lake).
 
 
 </li>
 </ul>
 
 Why Join CodeNinja?
 
 
 
 <ul>
 <li>
 Work on cutting-edge AI and financial forecasting solutions.
 </li>
 <li>
 Collaborate with high-performing engineers and AI specialists.
 </li>
 <li>
 Exposure to enterprise-grade secure environments and global clients.
 </li>
 <li>
 Opportunity to contribute to impactful, data-driven transformation initiatives.
 </li>
 <li>
 A culture that values ownership, growth, and continuous learning.
 </li>
 <li>
 Competitive compensation and career progression opportunities.
 
 
 </li>
 </ul>
 
 Equal Opportunity &amp; Disclaimer
 
 
 
 CodeNinja is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions are made based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, gender, national origin, disability status, or any other characteristic protected by applicable laws.
 
 
 Only shortlisted candidates will be contacted. CodeNinja reserves the right to modify the job description based on business requirements.
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 Provident Fund
 </li>
 <li>
 Gym Membership
 </li>
 <li>
 Leaves as per the company policy
 </li>
 <li>
 Company-paid trips
 </li>
 <li>
 Easy Loan Facility for Employees
 </li>
 <li>
 Yearly increment
 </li>
 <li>
 Maternity Benefits (Leaves &amp; WFH)
 </li>
 <li>
 Health Insurance (Maternity covered) - includes spouse and parents (till age 80)
 </li>
 </ul>
</div>

FiveRivers Technologies

<div><div><h3 class="jobSectionHeader">Job Information</h3>
<ul><div>Date Opened
<div>02/26/2026
</div></div><div>Job Type
<div>Full time
</div></div><div>Work Experience
<div>4-6 years
</div></div><div>Industry
<div>IT Services
</div></div><div>City
<div>Lahore
</div></div><div>State/Province
<div>Punjab
</div></div><div>Country
<div>Pakistan
</div></div><div>Zip/Postal Code
<div>54000
</div></div></ul></div><div><h3 class="jobSectionHeader">Job Description</h3>
<div><div>The Senior Data Integration Engineer is responsible for integrating customer data into the cloud platform. This role ensures data is accurate, consistent, and delivered in a format that supports analytics and reporting. You will collaborate closely with customer IT teams, internal engineering, and customer success teams to enable successful data onboarding and ongoing pipeline performance. 
This role is ideal for a data-driven professional who enjoys solving complex data challenges and working in a fast-paced deployment environment.<h3 class="jobSectionHeader"> 
Key Responsibilities</h3><ul><li> 
Perform initial data integrations for new customers and maintain ongoing extraction and transformation processes</li><li> 
Build and manage ETL/ELT workflows to extract, transform, and load data into databases or data lakes</li><li> 
Integrate data from APIs, ERPs, databases, web services, and third-party systems</li><li> 
Automate workflows and optimize existing data processes for performance and scalability</li><li> 
Ensure data quality by identifying and resolving inconsistencies, errors, and gaps</li><li> 
Act as the primary technical point of contact for assigned customers</li><li> 
Analyze customer data to support inventory reduction and shortage prevention goals</li><li> 
Collaborate with Engineering and Customer Success teams to support data pipeline operations</li></ul></div><h3 class="jobSectionHeader"> 
Requirements</h3><ul><li>
Proficiency in Python, Java, or SQL</li><li> 
Strong experience with relational and NoSQL databases</li><li> 
Experience with cloud data infrastructure (AWS or Azure)</li><li> 
Strong data transformation and pipeline engineering expertise</li><li> 
Ability to work cross-functionally with engineering, product, and customer success teams</li><li> 
Strong analytical mindset and problem-solving skills</li><li> 
Ability to communicate technical concepts to non-technical stakeholders</li></ul><ul><li> 
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, Data Science, or related field</li><li> 
Experience in data engineering, data integration, or similar role</li><li> 
Advanced SQL skills</li><li> 
Experience working with ERP or enterprise business systems</li><li> 
Strong understanding of data modeling and design principles</li><li> 
Ability to learn new systems and business processes quickly</li></ul><ul><li> 
Knowledge of supply chain or manufacturing processes</li><li> 
Familiarity with DevOps practices and CI/CD pipelines</li></ul><div> 
Location: Gulberg II, Lahore</div></div></div></div>

Senior Data Integration Engineer

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

NextGen | GTA: A Kelly Telecom Company

<div>
 
 We are seeking a highly skilled
 
 Data Analyst
 
 to play a key role in transforming our data into high-quality, actionable insights that support business decision-making&mdash;particularly for sales and revenue operations. This role partners closely with data engineers, business analysts, system administrators, and business stakeholders to define data requirements, ensure data accuracy, and deliver meaningful analytics.
 
 
 The ideal candidate brings strong technical expertise, along with hands-on experience working with CRM and sales data. They enjoy working in a dynamic, fast-paced environment and are comfortable with ambiguity.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Work with data engineers, business analysts, and stakeholders to define data requirements.
 </li>
 <li>
 Examine data from multiple source systems and run comparison analysis for anomalies, errors, and inconsistencies.
 </li>
 <li>
 Design and implement mapping logic to cleanse, filter, and structure raw data into usable, high-quality data sets. Document data mappings, conversion rules, workflows, and ETL specifications.
 </li>
 <li>
 Work with technical SMEs and system administrators to create and optimize ETL processes, scripts, and workflows to move data between systems.
 </li>
 <li>
 Work with technical and functional SMEs to validate data and ensure high quality. Troubleshoot and problem solve data-related issues.
 </li>
 <li>
 Use statistical techniques to interpret data, identify patterns, and predict trends
 </li>
 <li>
 Create interactive dashboards, reports, and visualizations to communicate findings to stakeholders.
 </li>
 <li>
 Make recommendations to improve processes, workflows, and automation.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Required Skills and Qualifications
 
 
 <ul>
 <li>
 
 4+ years work experience
 
 in a data analyst or equivalent role
 </li>
 <li>
 
 Functional Experience:
 
 Supporting sales organizations and working with sales data, customer accounts data, and revenue data
 </li>
 <li>
 
 CRM
 
 : Experience with CRM Tools such as HubSpot, Bullhorn, and Gong
 </li>
 <li>
 
 BI
 
 : Experience with BI Tools such as Power BI or Tableau
 </li>
 <li>
 
 Data Analysis:
 
 Ability to analyze data structures and interpret complex datasets.
 </li>
 <li>
 
 Analytical Skills:
 
 Strong mathematical skills to gather, measure, and analyze data.
 </li>
 <li>
 
 Technical Skills:
 
 Strong proficiency in SQL, experience with ETL tools (e.g., Informatica, Talend, SSIS), and scripting languages (Python, Bash). Experience with Excel and Power Point.
 </li>
 <li>
 
 Database Knowledge:
 
 Familiarity with relational databases (SQL Server, Oracle, PostgreSQL) and data warehousing concepts.
 </li>
 <li>
 
 Soft Skills:
 
 Communication skills to explain technical findings to non-technical stakeholders and critical thinking to solve business problems.
 </li>
 <li>
 
 Education:
 
 Bachelor's degree in mathematics, statistics, computer science, data science, or business analytics; or equivalent work experience.
 </li>
 </ul>
 
 
</div>

Explore 106+ Etl developer in Lahore this March. Find roles across top companies and apply now to boost your career.

106 etl developer jobs In Lahore

Data Engineer

Data Engineer, Tech

Data Engineer

Data Engineer

Senior Data Integration Engineer

Data Analyst

Data Analyst