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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>

Data Engineer

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>

Algo

<div>Job title: Data Engineer Lead 
Location: DHA Phase-8, Lahore (on-site) 
 
Job Description
 
Job Responsibilities:
<div><ul><li>Design, build, and maintain efficient and scalable ETL/ELT data pipelines using tools like Azure Data Factory or Apache Airflow</li></ul>
<ul><li>Develop, test, and deploy Python-based data processing solutions</li></ul>
<ul><li>Work with Snowflake, Databricks and other data warehousing technologies to support data analytics and reporting needs</li></ul>
<ul><li>Write complex and optimized SQL queries for data transformation and extraction</li></ul>
<ul><li>Ensure data quality, accuracy, and compliance with internal and external standards</li></ul>
<ul><li>Collaborate with data engineers, analysts, and stakeholders to define and implement data workflows</li></ul>
<ul><li>Utilize version control (Git) and CI/CD pipelines for code deployment and process automation</li></ul>
<ul><li>Lead and mentor team of data engineers, delivering robust data solutions that improve forecasting and operational efficiency.</li></ul></div> 
 
Qualifications Needed:
<ul><li>Python</li></ul>
<ul><li>SQL</li></ul>
<ul><li>Snowflake</li></ul>
<ul><li>Databricks</li></ul>
<ul><li>Azure (or AWS)</li></ul>
<ul><li>ETL/ELT</li></ul>
<ul><li>ADF / Apache Airflow</li></ul>
<ul><li>Data Warehousing</li></ul>
<ul><li>Git</li></ul>
<ul><li>CI/CD</li></ul></div>

Data Engineer Lead

Tkxel

<div>
 
 
 Overview
 
 
 
 
 
 We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. The ideal candidate will have a deep understanding of Microsoft Azure's Data Analytics Platform and possess extensive experience with tools such as Azure Data Factory, Azure Synapse, Apache Spark or Databricks, and Power BI. Knowledge of Microsoft Fabric is preferred but not necessary. This role requires a leader capable of guiding a team or multiple teams of Data Engineers and delivering successful Data Engineering projects. With 5 to 8 years of experience in the field, the Senior Data Engineer will play a crucial role in transforming raw data into actionable insights that drive our business forward.
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 - Design, build, and maintain scalable and robust data pipelines using Azure Data Factory, Azure Synapse, and other relevant tools.
 
 
 
 - Leverage Apache Spark or Databricks for big data processing and analytics.
 
 
 
 - Develop and optimize data models, schema design and architectures for data warehousing and business intelligence using Power BI and other analytics tools.
 
 
 
 - Lead and mentor teams of Data Engineers, providing technical guidance and oversight to ensure project success.
 
 
 
 - Collaborate with cross-functional teams, including data scientists, business analysts, and IT professionals, to understand data needs and deliver comprehensive data solutions.
 
 
 
 - Implement and maintain data security and compliance measures in line with organizational policies and regulations.
 
 
 
 - Stay abreast of industry trends and advancements in data engineering and analytics technologies, applying best practices to improve processes and solutions.
 
 
 
 - Drive the adoption of innovative data engineering techniques and tools, fostering a culture of continuous improvement and learning.
 
 
 
 
 
 Requirements
 
 
 
 - Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
 
 
 
 - 5 to 8 years of experience in data engineering, with a strong focus on Microsoft Azure's Data Analytics Platform.
 
 
 
 - Proficiency in Azure Data Factory, Azure Synapse, Apache Spark or Databricks, and Power BI.
 
 
 
 - Experience leading and managing teams of Data Engineers in a fast-paced environment.
 
 
 
 - Strong understanding of data modeling, ETL processes, and data warehousing principles.
 
 
 
 - Excellent problem-solving skills and the ability to work independently or as part of a team.
 
 
 
 - Knowledge of Microsoft Fabric is preferred but not necessary.
 
 
 
 - Excellent communication and interpersonal skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
 
 
 
 
 
</div>

Senior 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

ASK Development

Key Responsibilities<ul><li>Configure, manage, and support SAP PM module Master Data</li><li>Coordinate with maintenance teams to ensure timely creation and closure of work orders and notifications.</li><li>Monitor asset performance and support data-driven maintenance planning.</li><li>Generate reports on equipment performance, downtime, labor hours, and material consumption.</li><li>Develop and maintain equipment master data, functional locations, and task lists.</li><li>Conduct training for maintenance staff on SAP usage and process adherence.</li><li>Collaborate with Procurement and Finance for material and service planning linked to maintenance.</li><li>Ensure compliance with internal maintenance SOPs and external audit requirements.</li></ul>Required Qualifications<ul><li>Bachelor's degree in Engineering, Information Technology, or related field.</li><li>Minimum 3 years of experience in SAP Plant Maintenance module.</li><li>Strong understanding of maintenance workflows and equipment life cycle management.</li><li>Excellent analytical and problem-solving skills.</li><li>Strong communication and team coordination abilities.</li></ul>Preferred Skills<ul><li>Experience in utility/facility/infrastructure maintenance.</li><li>Working knowledge of integration between PM, MM, and FI modules.</li><li>SAP S/4HANA experience is a plus.</li></ul>Job Type: Full-timePay: Rs70,000.00 - Rs90,000.00 per monthAbility to commute/relocate:<ul><li>Lahore Secondary Board: Reliably commute or planning to relocate before starting work (Required)</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>Facilities Maintenance Engineering: 3 years (Required)</li></ul>Work Location: In person

SAP Master Data Engineer

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

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Senior Data Engineer

Data Engineer, Tech

SAP Master Data Engineer

Senior Data Integration Engineer