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data scientist

NorthBay - Pakistan

<div>
 Job Title: Data Scientist
 <br/>
 <br/>
 Location: Karachi
 <br/>
 <br/>
 Job Type: Full-time, (Hybrid)
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 NorthBay is seeking a skilled Data Scientist with 4+ years of professional experience to join our team. The ideal candidate will have hands-on experience in data processing, visualization, and structuring, along with practical exposure to Large Language Models (LLMs) and agentic AI systems. You will work on designing intelligent data workflows, integrating AI models, and developing predictive analytics to support business decision-making. Strong analytical, problem-solving, and communication skills are essential, as the role involves close collaboration with cross-functional stakeholders.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, implement, and optimize LLM-powered features and agentic AI workflows.
  </li>
  <li>
   Develop and maintain data pipelines for extracting, structuring, and processing large datasets.
  </li>
  <li>
   Integrate LLMs (e.g., GPT, Claude, Gemini, Llama) into data workflows to enhance automation and insight generation.
  </li>
  <li>
   Collaborate with technical and business teams to identify opportunities for LLM and agentic AI adoption in operational processes.
  </li>
  <li>
   Build Python-based tools and scripts for data manipulation, visualization, and decision automation.
  </li>
  <li>
   Utilize relational databases (SQL Server, MySQL, etc.) for data extraction and analysis.
  </li>
  <li>
   Research and evaluate modern open-source and proprietary AI/ML models to support project requirements.
  </li>
  <li>
   Implement monitoring and automated data validation processes to ensure quality and scalability.
  </li>
  <li>
   Contribute to GenAI initiatives and experimentation with emerging AI frameworks.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   4+ years of professional experience in data science, data engineering, or AI-focused roles.
  </li>
  <li>
   2+ years of hands-on experience working with LLMs (GPT, Claude, Gemini, Llama, etc.) and agentic AI systems.
  </li>
  <li>
   1+ year of experience working with relational databases (SQL Server, MySQL, PostgreSQL, etc.).
  </li>
  <li>
   Strong proficiency in Python for data manipulation, automation, API integration, and prompt engineering.
  </li>
  <li>
   Experience with data structuring, cleaning, processing, and visualization tools.
  </li>
  <li>
   Experience building and deploying data-driven or AI-assisted solutions.
  </li>
  <li>
   Good-to-have: Exposure to .NET for application integration or workflow development.
  </li>
  <li>
   Strong communication skills with the ability to translate technical findings into actionable business insights.
   <br/>
   <br/>
  </li>
 </ul>
 If you meet the above qualifications and are excited to work on innovative AI-driven data solutions, we encourage you to apply and join our team!
</div>


Data Scientist

NorthBay Solutions

<div><h3 class="jobSectionHeader"><b>Job Title</b><b>: Data Scientist</b></h3><p><b>
Location:</b> Karachi</p><h4 class="jobSectionHeader"><b>
Job Type: </b>Full-time, (Hybrid)</h4><h3 class="jobSectionHeader"><b>
Job Description:</b></h3><p>
NorthBay is seeking a skilled Data Scientist with 4+ years of professional experience to join our team. The ideal candidate will have hands-on experience in data processing, visualization, and structuring, along with practical exposure to Large Language Models (LLMs) and agentic AI systems. You will work on designing intelligent data workflows, integrating AI models, and developing predictive analytics to support business decision-making. Strong analytical, problem-solving, and communication skills are essential, as the role involves close collaboration with cross-functional stakeholders.</p><h2 class="jobSectionHeader"><b>
Key Responsibilities:</b></h2><ul><li>
Design, implement, and optimize LLM-powered features and agentic AI workflows.</li><li>
Develop and maintain data pipelines for extracting, structuring, and processing large datasets.</li><li>
Integrate LLMs (e.g., GPT, Claude, Gemini, Llama) into data workflows to enhance automation and insight generation.</li><li>
Collaborate with technical and business teams to identify opportunities for LLM and agentic AI adoption in operational processes.</li><li>
Build Python-based tools and scripts for data manipulation, visualization, and decision automation.</li><li>
Utilize relational databases (SQL Server, MySQL, etc.) for data extraction and analysis.</li><li>
Research and evaluate modern open-source and proprietary AI/ML models to support project requirements.</li><li>
Implement monitoring and automated data validation processes to ensure quality and scalability.</li><li>
Contribute to GenAI initiatives and experimentation with emerging AI frameworks.</li></ul><h2 class="jobSectionHeader"><b>
Requirements:</b></h2><ul><li>
4+ years of professional experience in data science, data engineering, or AI-focused roles.</li><li>
2+ years of hands-on experience working with LLMs (GPT, Claude, Gemini, Llama, etc.) and agentic AI systems.</li><li>
1+ year of experience working with relational databases (SQL Server, MySQL, PostgreSQL, etc.).</li><li>
Strong proficiency in Python for data manipulation, automation, API integration, and prompt engineering.</li><li>
Experience with data structuring, cleaning, processing, and visualization tools.</li><li>
Experience building and deploying data-driven or AI-assisted solutions.</li><li>
Good-to-have: Exposure to .NET for application integration or workflow development.</li><li>
Strong communication skills with the ability to translate technical findings into actionable business insights.</li></ul><br>
If you meet the above qualifications and are excited to work on innovative AI-driven data solutions, we encourage you to apply and join our team!<p>
</p><p>1pbGdv7h1W</p></div>

Datamatics Global Services Ltd

<div><h2 class="jobSectionHeader"><b>Job Title:</b><b> AI Data Scientist (Offshore)</b></h2><p><b>
Duration:</b> 6 Months (Extendable)<br>
<b>Experience:</b> 6&ndash;8 Years<br>
<b>Location:</b> Offshore (Remote)<br>
<b>Industry:</b> Multi-Industry (with focus on Financial Sector)<br>
<b>Employment Type:</b> Contract (6 Months - Higher possiblity for extension)</p><p></p><h3 class="jobSectionHeader"><b>
Job Summary</b></h3><p>
We are seeking a highly skilled <b>AI Data Scientist</b> with hands-on experience in building and deploying advanced data science and machine learning models, particularly within the <b>financial services domain</b>. The ideal candidate will have strong proficiency in <b>Python, SQL</b>, and <b>Google Cloud Platform (GCP)</b> tools &mdash; leveraging platforms like <b>BigQuery, Vertex AI, Dataflow, Dataproc, Pub/Sub, GCS, and Looker</b> to deliver scalable and automated AI solutions.</p><p>
This is an exciting <b>6-month contract role (with potential extension)</b> focused on developing <b>descriptive, predictive, and prescriptive models</b> and deploying them in production using <b>MLOps best practices</b>.</p><h3 class="jobSectionHeader"><b><br>
Key Responsibilities</b></h3><ul><li><p>
Design and develop <b>data science and machine learning models</b> across descriptive, predictive, and prescriptive analytics.</p></li><li><p>
Work closely with business stakeholders&mdash;especially in the <b>financial sector</b>&mdash;to translate complex problems into AI-driven solutions.</p></li><li><p>
Develop and automate <b>end-to-end ML pipelines</b> on <b>GCP</b> using Vertex AI, Dataflow, Pub/Sub, and Dataproc.</p></li><li><p>
Implement <b>MLOps</b> frameworks for continuous integration, deployment, and monitoring of machine learning models.</p></li><li><p>
Analyze large datasets using <b>BigQuery</b> and other GCP-native tools for data transformation, feature engineering, and model training.</p></li><li><p>
Visualize insights and performance metrics using <b>Looker</b> and other BI tools.</p></li><li><p>
Collaborate with data engineers, analysts, and cloud architects to ensure seamless model deployment and scalability.</p></li><li><p>
Evaluate model performance and refine algorithms for improved accuracy and business impact.</p></li></ul><h3 class="jobSectionHeader"><b><br>
Required Skills &amp; Qualifications</b></h3><ul><li><p><b>
5&ndash;8 years</b> of professional experience in <b>data science, AI/ML</b>, and analytics roles.</p></li><li><p>
Proven expertise in <b>Python</b> (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch) and <b>SQL</b> for data analysis and model development.</p></li><li><p>
Hands-on experience with <b>GCP ecosystem</b>, including:</p><ul><li><p><b>
BigQuery</b> (data querying and transformation)</p></li><li><p><b>
Vertex AI</b> (model training, tuning, deployment)</p></li><li><p><b>
Dataflow / Dataproc</b> (data processing pipelines)</p></li><li><p><b>
Pub/Sub</b> (event-driven data streaming)</p></li><li><p><b>
GCS (Google Cloud Storage)</b> and <b>Looker</b> (visualization and reporting)</p></li></ul></li><li><p>
Strong knowledge of <b>MLOps automation</b> and continuous deployment best practices.</p></li><li><p>
Experience developing models in <b>financial services</b> (risk scoring, fraud detection, customer analytics, forecasting, etc.).</p></li><li><p>
Strong understanding of <b>statistical modeling</b>, <b>feature engineering</b>, and <b>model performance evaluation</b>.</p></li><li><p>
Excellent problem-solving and communication skills with ability to work in multi-industry environments.</p></li></ul><h3 class="jobSectionHeader"><b><br>
Preferred Qualifications</b></h3><ul><li><p>
Experience in <b>multi-cloud</b> or hybrid environments.</p></li><li><p>
Knowledge of <b>CI/CD pipelines</b> for ML (GitHub Actions, Jenkins, or Cloud Build).</p></li><li><p>
Exposure to <b>deep learning frameworks</b> (TensorFlow, PyTorch).</p></li><li><p>
Experience in <b>time-series forecasting</b>, <b>credit modeling</b>, or <b>financial risk analytics</b>.</p></li></ul><p>
</p><p>i6GpPhb9iD</p></div>

AI Data Scientist

Datamatics Technologies

<div>
 <strong>
  Job Title:
 </strong>
 AI Data Scientist (Offshore)
 <p>
  <span>
   <strong>
    Duration:
   </strong>
   6 Months (Extendable)
   <br/>
   <strong>
    Experience:
   </strong>
   &nbsp;6&ndash;8 Years
   <br/>
   <strong>
    Location:
   </strong>
   Offshore (Remote)
   <br/>
   <strong>
    Industry:
   </strong>
   Multi-Industry (with focus on Financial Sector)
   <br/>
   <strong>
    Employment Type:
   </strong>
   Contract (6 Months - Higher possiblity for extension)
  </span>
 </p>
 <strong>
  Job Summary
 </strong>
 <p>
  We are seeking a highly skilled
  <strong>
   AI Data Scientist
  </strong>
  with hands-on experience in building and deploying advanced data science and machine learning models, particularly within the
  <strong>
   financial services domain
  </strong>
  . The ideal candidate will have strong proficiency in
  <strong>
   Python, SQL
  </strong>
  , and
  <strong>
   Google Cloud Platform (GCP)
  </strong>
  tools &mdash; leveraging platforms like
  <strong>
   BigQuery, Vertex AI, Dataflow, Dataproc, Pub/Sub, GCS, and Looker
  </strong>
  to deliver scalable and automated AI solutions.
 </p>
 <p>
  This is an exciting
  <strong>
   6-month contract role (with potential extension)
  </strong>
  focused on developing
  <strong>
   descriptive, predictive, and prescriptive models
  </strong>
  and deploying them in production using
  <strong>
   MLOps best practices
  </strong>
  .
  <br/>
 </p>
 <strong>
  Key Responsibilities
 </strong>
 <ul>
  <li>
   <p>
    Design and develop
    <strong>
     data science and machine learning models
    </strong>
    across descriptive, predictive, and prescriptive analytics.
   </p>
  </li>
  <li>
   <p>
    Work closely with business stakeholders&mdash;especially in the
    <strong>
     financial sector
    </strong>
    &mdash;to translate complex problems into AI-driven solutions.
   </p>
  </li>
  <li>
   <p>
    Develop and automate
    <strong>
     end-to-end ML pipelines
    </strong>
    on
    <strong>
     GCP
    </strong>
    using Vertex AI, Dataflow, Pub/Sub, and Dataproc.
   </p>
  </li>
  <li>
   <p>
    Implement
    <strong>
     MLOps
    </strong>
    frameworks for continuous integration, deployment, and monitoring of machine learning models.
   </p>
  </li>
  <li>
   <p>
    Analyze large datasets using
    <strong>
     BigQuery
    </strong>
    and other GCP-native tools for data transformation, feature engineering, and model training.
   </p>
  </li>
  <li>
   <p>
    Visualize insights and performance metrics using
    <strong>
     Looker
    </strong>
    and other BI tools.
   </p>
  </li>
  <li>
   <p>
    Collaborate with data engineers, analysts, and cloud architects to ensure seamless model deployment and scalability.
   </p>
  </li>
  <li>
   <p>
    Evaluate model performance and refine algorithms for improved accuracy and business impact.
    <br/>
   </p>
  </li>
 </ul>
 <strong>
  Required Skills &amp; Qualifications
 </strong>
 <ul>
  <li>
   <p>
    <strong>
     5&ndash;8 years
    </strong>
    of professional experience in
    <strong>
     data science, AI/ML
    </strong>
    , and analytics roles.
   </p>
  </li>
  <li>
   <p>
    Proven expertise in
    <strong>
     Python
    </strong>
    (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch) and
    <strong>
     SQL
    </strong>
    for data analysis and model development.
   </p>
  </li>
  <li>
   <p>
    Hands-on experience with
    <strong>
     GCP ecosystem
    </strong>
    , including:
   </p>
   <ul>
    <li>
     <p>
      <strong>
       BigQuery
      </strong>
      (data querying and transformation)
     </p>
    </li>
    <li>
     <p>
      <strong>
       Vertex AI
      </strong>
      (model training, tuning, deployment)
     </p>
    </li>
    <li>
     <p>
      <strong>
       Dataflow / Dataproc
      </strong>
      (data processing pipelines)
     </p>
    </li>
    <li>
     <p>
      <strong>
       Pub/Sub
      </strong>
      (event-driven data streaming)
     </p>
    </li>
    <li>
     <p>
      <strong>
       GCS (Google Cloud Storage)
      </strong>
      and
      <strong>
       Looker
      </strong>
      (visualization and reporting)
     </p>
    </li>
   </ul>
  </li>
  <li>
   <p>
    Strong knowledge of
    <strong>
     MLOps automation
    </strong>
    and continuous deployment best practices.
   </p>
  </li>
  <li>
   <p>
    Experience developing models in
    <strong>
     financial services
    </strong>
    (risk scoring, fraud detection, customer analytics, forecasting, etc.).
   </p>
  </li>
  <li>
   <p>
    Strong understanding of
    <strong>
     statistical modeling
    </strong>
    ,
    <strong>
     feature engineering
    </strong>
    , and
    <strong>
     model performance evaluation
    </strong>
    .
   </p>
  </li>
  <li>
   <p>
    Excellent problem-solving and communication skills with ability to work in multi-industry environments.
    <br/>
   </p>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
 </strong>
 <ul>
  <li>
   <p>
    Experience in
    <strong>
     multi-cloud
    </strong>
    or hybrid environments.
   </p>
  </li>
  <li>
   <p>
    Knowledge of
    <strong>
     CI/CD pipelines
    </strong>
    for ML (GitHub Actions, Jenkins, or Cloud Build).
   </p>
  </li>
  <li>
   <p>
    Exposure to
    <strong>
     deep learning frameworks
    </strong>
    (TensorFlow, PyTorch).
   </p>
  </li>
  <li>
   <p>
    Experience in
    <strong>
     time-series forecasting
    </strong>
    ,
    <strong>
     credit modeling
    </strong>
    , or
    <strong>
     financial risk analytics
    </strong>
    .
   </p>
  </li>
 </ul>
</div>


Crossover

<div>
 Imagine a learning model where children complete a full academic day in two intensely focused hours, then spend their afternoons launching podcasts, painting murals, or mastering back-handsprings. That's the 2-Hour Learning system driving Alpha Anywhere&mdash;and you're the strategist tasked with maintaining its precision while innovating for tomorrow.
 <br/>
 <br/>
 From any location with reliable internet, you'll convert vast volumes of AI-generated performance data into precise, actionable interventions that guide each learner toward 90% mastery and beyond. When obstacles arise, you'll join live coaching sessions, eliminate roadblocks in real time, and restore each student's momentum with renewed confidence. At the same time, you'll analyze deep currents of student performance data, identifying concealed patterns that release children's full capabilities and architecting next-generation AI tools capable of doubling learning velocity.
 <br/>
 <br/>
 Parents observe rising self-assurance, students accelerate their learning pace twofold, and you witness the measurable effect of every insight you generate, every AI process you streamline, and every inquiry you pursue. Prepared to convert data into acceleration fuel for young learners? Continue below.
 <br/>
 <br/>
 <strong>
  What You Will Be Doing
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Constructing highly precise Academic Data Reports and performing systematic analysis to identify issues, highlight irregularities, and initiate corrective action within 48 hours
  </li>
  <li>
   Leading urgent "rescue" sessions and facilitating post-assessment coaching conversations to eliminate blockers, distinguish comprehension gaps from execution errors, and sustain student engagement
  </li>
  <li>
   Assessing and deploying new educational applications and curriculum while creating AI/LLM prototypes to advance learning methodologies and address targeted challenges
  </li>
  <li>
   Collaborating with leadership to optimize tools, dashboards, and mastery benchmarks as the AI tutor continues to develop
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You Won&rsquo;t Be Doing
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Attending prolonged meetings or delivering standard presentation decks without clear visibility to tangible results
  </li>
  <li>
   Scoring assignments, crafting lesson plans, or administering conventional educational programs&mdash;AI and innovation power our approach
  </li>
  <li>
   Remaining in abstract strategic planning without execution or becoming confined to repetitive tasks&mdash;this position is applied and fast-paced
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Lead Data Scientist Key Responsibilities
  <br/>
  <br/>
 </strong>
 Accelerate student learning outcomes through AI-powered analysis and immediate academic intelligence, evidenced by elevated metrics such as 2&times; learning velocity, app engagement, lesson comprehension, response accuracy, and diminished adverse learning behaviors across the Alpha Anywhere network.
 <br/>
 <br/>
 <strong>
  Basic Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proven experience in data science or comparable role, education, EdTech, or a student-facing capacity combining analytical and interpersonal dimensions
  </li>
  <li>
   Competence in Google Sheets data analysis (lookups, pivot tables, filtering)
  </li>
  <li>
   Strong emotional intelligence, effective communication abilities and a student-appropriate coaching approach
  </li>
  <li>
   Track record building workflows and automations using AI
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice-to-have Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Foundation in learning science, educational theory, or verified achievements enhancing outcomes through data-informed approaches
  </li>
  <li>
   Familiarity with Generative AI, prompting methodologies, and introductory coding proficiency (Python, JavaScript, etc.) for querying AI APIs
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About 2 Hour Learning
  <br/>
  <br/>
 </strong>
 Education is broken, but 2 Hour Learning is proving it doesn&rsquo;t have to be. They&rsquo;re tearing down the outdated one-size-fits-all model and replacing it with AI-driven personalized learning that helps kids master academics in just two hours a day.
 <br/>
 <br/>
 <strong>
  With students consistently ranking in the top 1-2% nationally and the top 20% achieving an astonishing 6.5x growth, they&rsquo;re proving that smarter learning is possible. At 2 Hour Learning, it&rsquo;s talent and performance that matter.
  <br/>
  <br/>
 </strong>
 They offer a dynamic, on-campus and remote-friendly environment where innovators, educators, and AI specialists can be a part of fixing a broken school system.
 <br/>
 <br/>
 <strong>
  2 Hour Learning is reprogramming learning for the AI era.
  <br/>
  <br/>
 </strong>
 <strong>
  Here&rsquo;s How They&rsquo;re Fixing It.
  <br/>
  <br/>
 </strong>
 There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you!
 <br/>
 <br/>
 <strong>
  Working with us
  <br/>
  <br/>
 </strong>
 This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover as a Contractor of Record. The compensation level for this role is $30 USD/hour, which equates to $60,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com/help-and-faqs for more details on this topic.
 <br/>
 <br/>
 Crossover Job Code: LJ-5238-PK-Kar&amacr;chi-LeadDataScient.003
 <br/>
 <br/>
</div>


Lead Data Scientist, 2 Hour Learning (Remote) - $60,000/year USD

Retail online

<p>As a Data Analyst, you will play a key role in supporting the organization&rsquo;s data analysis, reporting, and predictive analytics functions. You will be responsible for gathering, transforming, and interpreting data from various sources to deliver meaningful insights that drive data-based decision-making. Your expertise in <b>Advanced Excel</b>, <b>Power BI</b>, and <b>Machine Learning techniques</b> will ensure that all reporting and analytics are accurate, reliable, and actionable.</p><p><b>Key Responsibilities:</b></p><ul><li>Collect, verify, and analyze data from multiple sources to identify trends, correlations, predictive patterns, and insights.</li><li>Design, develop, and maintain <b>data models, dashboards, and reports</b> using <b>Excel</b> and <b>Power BI</b>.</li><li>Apply <b>basic Machine Learning methods</b> such as regression, classification, clustering, and forecasting to support predictive and advanced analytics.</li><li>Collaborate with cross-functional teams to understand data needs and deliver insights that support strategic and operational decisions.</li><li>Perform <b>data cleaning, transformation, feature engineering</b>, and validation to ensure consistent, high-quality data.</li><li>Recommend and implement <b>process improvements</b> to enhance efficiency in data collection, analysis, and reporting workflows.</li><li>Conduct <b>ad-hoc analyses</b> and produce customized reports based on stakeholder requirements.</li><li>Stay updated on emerging tools, techniques, and best practices in data analytics, Machine Learning, Excel, Power BI, and BI technologies.</li></ul><p><b>Requirements:</b></p><ul><li>Bachelor&rsquo;s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.</li><li>Proven experience working with <b>Excel, Power BI</b>, and data analytics in a professional environment.</li><li>Strong Excel skills, including <b>advanced formulas, pivot tables, dashboards, and visualizations</b>.</li><li>Proficiency in <b>Power BI</b> for creating interactive dashboards and reports.</li><li>Basic to intermediate understanding of <b>Machine Learning algorithms</b> and their practical applications.</li><li>Solid knowledge of <b>data analysis, statistical concepts, and data modeling</b>.</li><li>Hands-on experience in <b>data cleaning, transformation, and validation</b>.</li><li>Strong analytical and problem-solving abilities to interpret complex datasets.</li></ul><p><b>Compensation &amp; Benefits</b></p><ul><li>Competitive salary + annual bonus.</li><li>Family medical insurance.</li><li>Supportive work culture with international exposure and long-term growth opportunities.</li></ul><p><b>Location:</b> DHA Phase 5, Karachi</p><p>Job Type: Full-time</p><p>Experience:</p><ul><li>relevant: 3 years (Preferred)</li></ul><p>Language:</p><ul><li>English (Preferred)</li></ul><p>Work Location: In person</p>

Data Analyst (Night Shift)

Contour Software

<div><div>About Contour</div><div></div><div><div>
Contour Software</div> has grown from a dozen people to over 2,000 staff across 3 cities, in less than 14 years.</div><div><br>
As a subsidiary of Constellation Software Inc., we are proud to be part of a global enterprise software conglomerate that has grown to become one of the top 10 software companies in the world, with employees and customers in 100+ countries. With a broad-based and ever-growing portfolio of market-leading, vertical-market enterprise solutions covering more than 100 industry domains in predominantly mature markets, CSI's recipe creates the perfect environment for professionals to build fulfilling, long-term careers.</div><div><br>
What started as an R&amp;D &amp; Accounting back-office, has progressed into a full-service Global Centre serving all functions and departments, at the divisional as well as operating group/corporate level. Today Contour employees, located in Karachi, Lahore &amp; Islamabad, are serving CSI divisions located in time zones spanning the globe, from Sydney to Vancouver. With the global growth of Constellation as the wind in our sails, we are only just getting started!</div><div></div><div><div><div>
The Division:</div></div><div><div>
Site Service Software, Inc. provides industry-specific software and mobile solutions to companies that provide elevator service, maintenance, repair, modernization, installation and Elevator Inspection services. The software has been developed to address the specific needs of the elevator service, repair, and construction industry and for Elevator Inspectors. Moreover, our solutions have been designed and tested at client sites and they reflect that real-life experience and valuable insight.</div></div><div><div><br>
The Position:</div></div><div><div>
We are hiring a Data Engineer to support our cloud modernization initiatives across the Vertical Transportation division, dedicated to the Site Service Cloud (SSC) product.</div></div><div><div>
The Data Engineer will play a key role in designing, building, and maintaining the data pipelines that connect our long-standing legacy systems to our new cloud platforms. This work is critical to our long-term strategy of modernizing our technology stack, ensuring seamless data flow, and ultimately sunsetting legacy products as customers transition to the cloud.</div></div><div><div>
The position will work out of the Contour Software Karachi/Lahore/Islamabad resource center office, as an extension of the division-based R&amp;D department.</div></div><div><div><br>
Key Responsibilities:</div></div><div><ul><li><div>
Design, build, and maintain end-to-end data pipelines that migrate, synchronize, and transform data from legacy systems into the new cloud environments.</div></li></ul></div><div><ul><li><div>
Develop a deep understanding of each product&rsquo;s data structures&mdash;legacy and cloud&mdash;to ensure accurate and efficient data integration.</div></li></ul></div><div><ul><li><div>
Collaborate closely with product, engineering, and cloud architecture teams to capture data requirements and align pipelines with business rules.</div></li></ul></div><div><ul><li><div>
Optimize and maintain relational databases (SQL Server, PostgreSQL) for scalability, reliability, and high performance.</div></li></ul></div><div><ul><li><div>
Write clean, maintainable Python code for ETL processes, automation tasks, and data quality monitoring.</div></li></ul></div><div><ul><li><div>
Ensure data integrity and consistency across legacy-to-cloud migrations and ongoing synchronization jobs.</div></li></ul></div><div><ul><li><div>
Participate in architectural reviews, code reviews, sprint ceremonies, and cross-team planning.</div></li></ul></div><div><ul><li><div>
Contribute to the evolution of best practices for data engineering, including pipeline automation, documentation, and tooling improvements.</div></li></ul></div><div><div><br>
Job Qualifications:</div></div><div><ul><li><div>
Bachelor&rsquo;s degree in Computer Science, Software Engineering, Data Engineering, or a related field.</div></li></ul></div><div><ul><li><div>
4+ years of professional experience in data engineering, ETL development, or database engineering.</div></li></ul></div><div><ul><li><div>
Strong expertise in:</div></li></ul></div><div><ul><li><div>
SQL Server and PostgreSQL</div></li></ul></div></div><div><div><ul><li><div>
Schema design, indexing strategies, query optimization, stored procedures</div></li></ul></div><div><ul><li><div>
Solid experience writing Python for:</div></li></ul></div><div><ul><li><div>
ETL workflows</div></li></ul></div><div><ul><li><div>
Data transformation</div></li></ul></div><div><ul><li><div>
Automation and system integration</div></li></ul></div><div><ul><li><div>
Experience with data modeling, data warehousing concepts, and cloud integration patterns.</div></li></ul></div><div><ul><li><div>
Proficiency with Git and standard CI/CD workflows.</div></li></ul></div><div><ul><li><div>
Strong debugging, analytical thinking, and problem-solving abilities.</div></li></ul></div><div><ul><li><div>
Ability to communicate technical concepts clearly and collaborate effectively in a distributed team.</div></li></ul></div><div><div><br>
Nice-to-Have Qualifications:</div></div><div><ul><li><div>
Hands-on experience with cloud platforms (AWS, Azure, or GCP), especially data services.</div></li></ul></div><div><ul><li><div>
Familiarity with modern ETL/ELT orchestration tools (Airflow, Prefect, Dagster, etc.).</div></li></ul></div><div><ul><li><div>
Exposure to big data frameworks such as Spark or Hadoop.</div></li></ul></div><div><ul><li><div>
Prior experience working on legacy modernization or large-scale data migration projects.</div></li></ul></div><div><ul><li><div>
Understanding of data governance, data security, and compliance standards.</div></li></ul></div></div><div>
Exciting Benefits we offer:</div><ul><li><div>
Market-leading Salary</div></li><li><div>
Medical Coverage &ndash; Self &amp; Dependents</div></li><li><div>
Parents Medical Coverage</div></li><li><div>
Provident Fund</div></li><li><div>
Employee Performance-based bonuses</div></li><li><div>
Home Internet Subsidy</div></li><li><div>
Conveyance Allowance</div></li><li><div>
Profit Sharing Plan [Tenured Employees Only]</div></li><li><div>
Life Benefit</div></li><li><div>
Child Care Facility</div></li><li><div>
Company Provided Lunch/Dinner</div></li><li><div>
Professional Development Budget</div></li><li><div>
Recreational area for in-house games</div></li><li><div>
Sporadic On-shore training opportunities</div></li><li><div>
Friendly work environment</div></li><li><div>
Leave Encashment</div></li></ul><div></div><div><i>
Disclaimer:</i><i> At Contour, we attribute our success to the unique contributions of our diverse staff. We&rsquo;re committed to fostering a culture of respect that thrives on the varied perspectives and experiences of all individuals we recruit, employ, promote, and compensate. Since day one, we&rsquo;ve adhered to a policy that champions a work environment honoring the worth and dignity of each person while being free from all forms of employment discrimination.</i></div><div></div><div><i>
In our continuous effort to promote inclusivity, we extend our commitment to individuals with special needs by providing reasonable accommodations. We actively encourage qualified individuals with special needs to apply for the various openings within our company. Should you require assistance in completing the application process or have any inquiries regarding special facilities, please do not hesitate to contact our HR team. Your unique talents and abilities are welcomed and valued here.</i></div></div><div></div>

Data Engineer

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