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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>
 <li>
 
 
 
 
 
 
 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)

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>

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

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

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

Saif General Store, Rohillanwali

EMBEDDED SYSTEMS &amp; IoT ENGINEER (Sovereign Telemetry)Company: NEWAX TECHNOLOGIES (SMC-PRIVATE) LIMITEDEntity Type: Premier Digital Infrastructure FirmThe Mandate: We do not sell smart lightbulbs; we sell Enterprise Telemetry. We deploy open-source hardware gateways in hospitals, factories, and real estate environments to stream continuous operational data. We need an Embedded Systems Engineer who understands localized data routing and edge computing, without relying on bloated public cloud IoT platforms.Core Responsibilities:<ul><li>Write highly efficient, low-level code for microcontrollers (ESP32) to interface with industrial and environmental sensors.</li><li>Deploy localized edge gateways using Raspberry Pi hardware.</li><li>Configure and maintain local MQTT brokers (Mosquitto) to ensure secure, rapid sensor data transmission.</li><li>Route telemetry data securely from the edge into central databases (Supabase) via n8n webhooks.</li><li>Build real-time, live operational dashboards using Grafana for executive oversight.</li></ul>Technical Requirements:<ul><li>Mastery of C/C++ specifically optimized for ESP32 and microcontroller environments.</li><li>Deep knowledge of the MQTT protocol and publish/subscribe architectures.</li><li>Experience with Raspberry Pi and Linux-based edge computing.</li><li>Familiarity with Python for intermediate data parsing and Grafana for dashboard visualization.</li><li>Understanding of basic circuitry and hardware sensor integration.</li></ul>The Hiring Protocol (Proof of Work ONLY): To claim this seat, complete the following test:The Trial: Write a C++ script for an ESP32 to simulate a temperature sensor payload. Route that payload to a local MQTT broker, intercept it via an n8n webhook, and log it immutably in a Supabase database. Submit your code, workflow JSON, and a video of the execution.Job Type: Full-timePay: Rs400,000.00 - Rs1,000,000.00 per monthApplication Question(s):<ul><li>At Newax, we absolutely refuse to use AWS IoT Core or Google Cloud IoT. We build Sovereign Telemetry. Explain the architectural advantages of deploying a local Mosquitto MQTT broker on a Raspberry Pi edge gateway inside a client's facility, versus sending every sensor payload directly to the public cloud.</li><li>You deploy an ESP32 temperature sensor in a hospital pharmacy cold-chain. The hospital's Wi-Fi drops for 45 minutes. How do you architect the C++ firmware to utilize Deep Sleep for battery efficiency, while ensuring zero telemetry data is lost during the internet outage?</li><li>Our local MQTT broker receives the hospital's temperature payload. We do not use legacy backend languages to route this. How do you securely bridge this local MQTT topic to our central self-hosted n8n infrastructure to trigger an automated WhatsApp alert via Typebot if the temperature drops below critical levels?</li><li>Executives demand live dashboards, not raw data arrays. Once the ESP32 telemetry data is routed via n8n into our Supabase PostgreSQL database, how do you structure the database table to ensure Grafana can query and visualize 100,000 rows of time-series data instantly without crashing the browser?</li></ul>Experience:<ul><li>Embedded C/C++/ESP32/STM32/Edge Network Architecture: 4 years (Required)</li></ul>Language:<ul><li>Technical English (Fluent) (Required)</li></ul>License/Certification:<ul><li>GitHub repository of complex C++ firmware for the ESP32 (Preferred)</li></ul>Work Location: In person

EMBEDDED SYSTEMS & IoT ENGINEER (Sovereign Telemetry)

Explore 181+ Database engineer in Lahore this March. Find roles across top companies and apply now to boost your career.

181 database engineer jobs In Lahore

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Senior Data Integration Engineer

EMBEDDED SYSTEMS & IoT ENGINEER (Sovereign Telemetry)