head of artificial intelligence, data science, & machine learning

head of artificial intelligence, data science, & machine learning Jobs in Pakistan

data entry operator

data analyst

ai engineer

sales engineer

data engineer

Zones IT Solutions

<div>
 <strong>
  Description
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  <br/>
 </strong>
 Company Overview:
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 <br/>
 When it comes to IT solution providers, there are a lot of choices. But when it comes to providers with innovative and differentiating end-to-end service offerings, there&rsquo;s really only one: Zones &ndash; First Choice for IT.TM
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 Zones is a Global Solution Provider of end-to-end IT solutions with an unmatched supply chain. Positioned to be the IT partner you need, Zones, a Minority Business Enterprise (MBE) in business for over 35 years, specializes in Digital Workplace, Cloud &amp; Data Center, Networking, Security, and Managed/Professional/Staffing services. Operating in more than 120 countries, leveraging a robust portfolio, and utilizing the highest certification levels from key partners, including Microsoft, Apple, Cisco, Lenovo, Adobe, and more, Zones has mastered the science of building digital infrastructures that change the way business does business ensuring whatever they need, they can Consider IT Done. Follow Zones, LLC on Twitter @Zones, and LinkedIn and Facebook.
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 <br/>
 Position Overview
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 The Data Engineer will build and manage the end-to-end data ecosystem across pipelines, transformations, modeling, quality, and monitoring in an Azure-first environment. As the data engineer for the team, this role requires strong technical depth, full ownership, and the ability to support both operational and analytical data needs. The ideal candidate brings hands-on expertise with Azure Data Factory, Azure Databricks, Azure SQL, and integrations with APIs and Azure services, and is comfortable managing data pipelines, ensuring data quality, enabling security, and supporting Power BI datasets to deliver reliable and well-structured data to the business.
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 <strong>
  What You&rsquo;ll Do As The Data Engineer
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  <br/>
 </strong>
 Employees employed in the role of Data Engineer shall be required to apply their independent mind and demonstrate intellectual abilities in their decision-making.
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 The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This job description is not intended to be a comprehensive list of the duties and responsibilities of the position, and the duties and responsibilities may change without notice.
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 <br/>
 Key Responsibilities
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 <br/>
 <ul>
  <li>
   Build and maintain data pipelines using Azure Data Factory for batch and incremental loads.
  </li>
  <li>
   Develop transformation workflows in Azure Databricks.
  </li>
  <li>
   Design and optimize Azure SQL schemas, tables, queries, indexes, and stored procedures.
  </li>
  <li>
   Integrate data from APIs, Logic Apps, and Function Apps, ensuring accuracy and consistency.
  </li>
  <li>
   Implement data quality, validation, and monitoring, with alerts and health checks for pipelines.
  </li>
  <li>
   Ensure data security and governance, including PII handling, access policies, and Key Vault.
  </li>
  <li>
   Collaborate with application and integration engineers on API-driven and event-driven data requirements.
  </li>
  <li>
   Support Power BI at a basic level (datasets, model optimization, refresh schedules)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You Will Bring To The Team
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  <br/>
 </strong>
 <ul>
  <li>
   Around 5 years of hands-on experience as a Data Engineer with end-to-end ownership of data pipelines and models.
  </li>
  <li>
   Strong expertise in:
  </li>
  <ul>
   <li>
    Azure Data Factory (ADF)
   </li>
   <li>
    Azure Databricks
   </li>
   <li>
    Azure SQL
   </li>
  </ul>
  <li>
   Solid understanding of ETL/ELT patterns, data modeling, and orchestration.
  </li>
  <li>
   Comfortable integrating with APIs, Logic Apps, and Function Apps.
  </li>
  <li>
   Working knowledge of Power BI datasets and refresh management.
  </li>
  <li>
   Clear communication skills and the ability to work independently and cross-functionally.
   <br/>
  </li>
 </ul>
 Zones offers a comprehensive Benefits package
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 <br/>
 At Zones, we are committed to fostering an inclusive and diverse workplace where every team member is valued and supported. We offer life insurance, optional health insurance, EOBI, and a voluntary pension scheme in line with Company policy. Employees also enjoy additional perks such as Complimentary meals, and access to our in-house gym.
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 We take pride in being an equal opportunity employer and remain dedicated to maintaining a workplace free from discrimination of any kind. If you are passionate about driving innovation in IT, sales, engineering, or operations, Zones provides a dynamic and collaborative environment to help you grow your career.
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 All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy.
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 Job Timings: 8:00 PM to 5:00 AM (Pakistan Time)
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</div>


Data Engineer

Lloyds Technology Centre

<div></div><div><div>End Date</div>
Sunday 22 March 2026<div></div><div><div>
We Support Flexible Working &ndash; Click here for more information on flexible working options</div></div><div></div><div>
Flexible Working Options</div>
Hybrid Working<div></div><div>
Job Description Summary</div>
We are looking for an engineer with strong hands‑on experience in Google Cloud Platform, SQL, and both relational and non‑relational databases, with solid knowledge of Git and Agile methodologies. The role also benefits from expertise in Python, unit testing, Kafka streaming, dbt, and CI/CD pipelines. GCP Professional Data Engineer certification is an added advantage.<div></div><div>
Job Description</div><div><div><div>
Experience: 7 - 12 years</div><div>
Location: Hyderabad</div><div>
If you think all banks are the same, you&rsquo;d be wrong! We&rsquo;re an innovative, constantly evolving business that&rsquo;s shaping finance as a force for good. A bank that&rsquo;s empowering its people to innovate, explore possibilities and grow with purpose.</div></div><div><div>
Lloyds Banking Group is rapidly becoming digital-first, leading in the UK with over 12 million online and almost 8 million mobile banking customers. There's a big opportunity here for you to join our Front-end Engineering team and take part in this transformation. As an experienced team member, show your strong software skills and mentor junior members. You'll thrive in a flexible, collaborative setting where your work on web, mobile, and tablet apps directly impacts millions every day. We're offering great growth opportunities, but it requires you to take initiative, build relationships, and make things happen. Your efforts can positively affect our customers, colleagues and communities.</div></div><div></div><div><div><br>
What we're looking for:</div></div><div><div>
The overall vision within the Client Servicing &amp; Engagement Platform is to promote value for our customers and colleagues. Our team is looking for an experienced Data Engineer.</div></div><div></div><div><div><br>
Important Skills:</div><div></div><div><div><div>
Cloud Computing: P1</div></div><div><ul><li><div>
GCP Services: Familiarity with GCP services such as BigQuery, Cloud Storage, Dataflow, and Pub/Sub for data handling and analysis</div></li></ul></div><div><ul><li><div>
Data Integration: Ability to integrate data from various GCP sources using tools like BigQuery external tables and federated queries</div></li></ul></div></div><div><div><ul><li><div>
Security and Compliance: Understanding of data security practices, including encryption and access controls</div></li></ul></div><div><ul><li><div>
Azure Services: Proficiency in Azure services like Azure Data Factory, Azure Functions and Azure Blob Storage</div></li></ul></div></div></div><div></div><div><div><div>
Data Engineering: P2</div></div><div><ul><li><div>
ETL Processes: Proficiency in Extract, Transform, Load (ETL) processes to handle data ingestion, transformation, and loading</div></li></ul></div><div><ul><li><div>
Big Data Technologies: Experience with tools like Hadoop, Spark, and Hive for processing large datasets</div></li></ul></div><div><ul><li><div>
Database Management: Knowledge of SQL and NoSQL databases, including optimization and performance tuning</div></li></ul></div><div>
Kafka: P3</div></div><div><ul><li><div>
Apache Kafka: Deep understanding of Apache Kafka, including its architecture, components, and data streaming capabilities</div></li></ul></div><div><ul><li><div>
Distributed Systems: Knowledge of distributed systems principles, such as data replication, partitioning, and fault tolerance</div></li></ul></div><div><ul><li><div>
Programming: Proficiency in Java for writing custom producers, consumers, and connectors</div></li></ul><div></div><div>
Additional Skills:</div></div><div><div>
Microsoft Dynamics: 3</div></div><div><ul><li><div>
Dynamics 365: Proficiency in Dynamics 365 for managing customer data and business processes.</div></li></ul></div><div><ul><li><div>
Integration: Experience integrating Dynamics with other data sources and platforms, including GCP.</div></li></ul></div><div><div>
Analytical Skills</div></div><div><ul><li><div>
Data Analysis: Ability to analyse and interpret data to provide actionable insights.</div></li></ul></div><div><ul><li><div>
Problem-Solving: Strong problem-solving skills to address data-related challenges.</div></li></ul></div><div><div>
Soft Skills</div></div><div><ul><li><div>
Collaboration: Effective communication and collaboration with data scientists, analysts, and other stakeholders</div></li></ul></div><div><ul><li><div>
Continuous Learning: Staying updated with the latest trends and technologies in data engineering and cloud computing</div></li></ul></div><div></div><div><div><br>
What will you get in return?</div></div><div><div>
Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity or culture. We</div></div><div><div>
were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated working with cancel initiative. And it's why we especially welcome applications from underrepresented groups. We're disability confident. So, if you'd like reasonable adjustments to be made to our recruitment processes, just let us know.</div></div><div><div>
We're passionate about creating a values-led culture, and our approach to inclusion and diversity means that we all have the chance to create a real difference, together.</div></div><div><div>
This role offers an outstanding opportunity to work on a multifaceted and evolving subject matter, and we can't wait to meet you.</div></div></div><div></div><div><div><br>
Flexible Working Options</div></div><div><div>
Hybrid Working - We support flexible working and encourage 40% per week in the office and the rest from home.</div></div></div>

CodeNinja

<div>About CodeNinja<p><b>
CodeNinja</b> 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.
</p>Role Overview<p>
We are seeking a skilled <b>Data Engineer</b> with 3+ years of experience to design and build robust, scalable data pipelines supporting financial machine learning forecasting models.</p><p>
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.</p><p>
This role requires strong technical expertise in ETL/ELT pipelines, financial data processing, and data quality assurance within secure corporate environments.</p><p></p>
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><br>
<b>
Requirements</b><br>
<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><p></p>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><p></p>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><p></p>Equal Opportunity &amp; Disclaimer<p>
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.</p><p>
Only shortlisted candidates will be contacted. CodeNinja reserves the right to modify the job description based on business requirements.</p><b><br>
Benefits</b><br>
<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>

InvoZone

<p><b>Job description</b></p><p><b>InvoZone</b> 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.</p><p>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.<br/>We are looking for a <b>Data Engineer</b> to design, develop, and maintain scalable data pipelines and infrastructure that support analytics, reporting, and machine learning initiatives for our clients.<br/><b>Key Responsibilities</b>:</p><ul><li>Design, build, and maintain <b>scalable ETL/ELT pipelines</b> for processing large datasets.</li><li>Develop and optimize <b>data architectures and data models</b> to support analytics and business intelligence.</li><li>Integrate data from <b>multiple sources such as APIs, databases, and third-party platforms</b>.</li><li>Build and maintain <b>data warehouses and data lakes</b>.</li><li>Ensure <b>data quality, reliability, and performance</b> of data pipelines.</li><li>Collaborate with <b>data analysts, data scientists, and software engineers</b> to support data-driven applications.</li><li>Implement <b>data governance, security, and compliance standards</b>.</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><p><b>Required Skills &amp; Expertise</b>:</p><ul><li><b>3&ndash;5 years of experience</b> in data engineering or a related role.</li><li>Strong experience with <b>SQL and relational databases</b>.</li><li>Hands-on experience building <b>ETL pipelines</b>.</li><li>Proficiency in <b>Python, Scala, or Java</b> for data processing.</li><li>Experience with <b>data warehousing concepts and dimensional modeling</b>.</li><li>Familiarity with <b>big data frameworks</b> such as Apache Spark or Hadoop.</li><li>Experience with <b>cloud platforms</b> such as AWS, Azure, or GCP.</li><li><b>Bachelor&rsquo;s degree</b> in Computer Science, Software Engineering, Data Engineering, or a related field.</li></ul><p>Job Type: Full-time</p><p>Job Type: Full-time</p><p>Work Location: In person</p>

Techbridge Consultancy Services

<p>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.</p><p><b>Key Responsibilities</b></p><ul><li>Develop, maintain, and optimize ETL/ELT pipelines using <b>Python</b> and related libraries (Pandas, NumPy, PySpark).</li><li>Write and optimize complex <b>SQL queries</b> for PostgreSQL, SQL Server, and other RDBMS.</li><li>Work with <b>AWS Cloud services</b> (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 <b>Excel</b> and other BI tools for quick data analysis and validation.</li><li>Ensure data quality, security, and compliance in all data operations.</li></ul><p><b>Required Skills</b></p><ul><li><b>3+ years of professional experience</b> in data engineering, ETL, or backend development.</li><li>Strong proficiency in <b>Python</b> (Pandas, NumPy, PySpark).</li><li>Solid knowledge of <b>SQL</b> (PostgreSQL, SQL Server, or similar).</li><li>Experience with <b>AWS Cloud services</b> (S3, Lambda, Glue, Athena, Step Functions, EventBridge).</li><li>Hands-on experience in <b>Excel</b> for data validation and reporting.</li><li>Familiarity with data warehousing concepts and big data tools.</li><li>Understanding of <b>data modeling</b>, schema design, and performance optimization.</li><li>Strong problem-solving, analytical, and communication skills.</li></ul><p><b>Preferred</b></p><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><p><b>What We Offer</b></p><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 <b>Gulberg III, Lahore</b></li></ul><p>Job Type: Full-time</p><p>Application Question(s):</p><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><p>Work Location: In person</p>

Systems Limited

<div>
 <p>
  <strong>
   Job Description &ndash; Kafka Data Engineer
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Data Engineer to build and manage data pipelines that support batch and streaming data solutions. The role requires expertise in creating seamless data flows across platforms like Data Lake/Lakehouse in Cloudera, Azure Databricks, Kafka for both batch and stream data pipelines etc.
 </p>
 <p>
  <strong>
   <u>
    Responsibilities
   </u>
  </strong>
 </p>
 <ul>
  <li>
   Strong experience in develop, test, and maintain data pipelines (batch &amp; stream) using Cloudera, Spark, Kafka and Azure services like ADF, Cosmos DB, Databricks, NoSQL DB/ Mongo DB etc.
  </li>
  <li>
   Strong programming skills in spark, python or scala &amp; SQL.
  </li>
  <li>
   Optimize data pipelines to improve speed, performance, and reliability, ensuring that data is available for data consumers as required.
  </li>
  <li>
   Create ETL pipelines for downstream consumers by transform data as per business logic.
  </li>
  <li>
   Work closely with Data Architects and Data Analysts to align data solutions with business needs and ensure the accuracy and accessibility of data.
  </li>
  <li>
   Implement data validation checks and error handling processes to maintain high data quality and consistency across data pipelines.
  </li>
  <li>
   Strong analytical and problem solving skills, with a focus on optimizing data flows and addressing impacts in the data pipeline.
  </li>
  <li>
   Document data pipeline processes, ensuring they are clear and can be maintained or adapted by other team members.
  </li>
  <li>
   Strong communication skills to collaborate across teams.
  </li>
 </ul>
 <p>
  <strong>
   <u>
    Qualifications
   </u>
  </strong>
 </p>
 <ul>
  <li>
   8+ years of IT experience with at least 5+ years in data engineering and cloud-based data platforms.
  </li>
  <li>
   Strong experience with Cloudera/any Data Lake, Confluent/Apache Kafka, and Azure Data Services (ADF, Databricks, Cosmos DB).
  </li>
  <li>
   Deep knowledge of NoSQL databases (Cosmos DB, MongoDB) and data modeling for performance and scalability.
  </li>
  <li>
   Proven expertise in designing and implementing batch and streaming data pipelines using Databricks, Spark, or Kafka.
  </li>
  <li>
   Experience in creating scalable, reliable, and high-performance data solutions with robust data governance policies.
  </li>
  <li>
   Strong collaboration skills to work with stakeholders, mentor junior Data Engineers, and translate business needs into actionable solutions.
  </li>
  <li>
   Bachelor&rsquo;s or master&rsquo;s degree in computer science, IT, or a related field.
  </li>
 </ul>
 <p>
 </p>
</div>


Kafka Data Engineer

A2 Business Consulting LLC

<p>Senior Data Engineer</p><p><b>A2 Business Consulting | Hussain Industries Group</b> <i>Cloud Data Platforms, ETL/ELT Architecture &amp; Advanced Integration</i></p><p><b>Monthly Take-Home (After Tax): PKR 350,000 &ndash; 500,000</b> Contract: 3-Month Renewable | Schedule: Mon&ndash;Fri, 9 AM&ndash;5 PM EST | Fully Remote</p><p><b>Company Overview</b></p><p>A2 Business Consulting, part of the Hussain Industries Group, delivers advanced data engineering and cloud platform solutions to US-based enterprise clients. We build scalable data infrastructure using modern Microsoft Azure and Fabric technologies to help organizations centralize, transform, and optimize their data for analytics and operations. Our team operates fully remote with a culture of collaboration, accountability, and technical excellence.</p><p><b>Position Summary</b></p><p>We are seeking a Senior Data Engineer to lead the design, development, and maintenance of enterprise-grade data platforms. This is a hands-on technical leadership role with deep focus on ETL/ELT pipeline architecture, advanced data modeling, complex multi-source integrations, and cloud infrastructure management. The ideal candidate brings 5+ years of data engineering experience, strong Python and SQL skills, and proven expertise in Microsoft Azure and Microsoft Fabric. You will work directly with US-based technical and business leadership to drive data platform strategy.</p><p>This is a data engineering and technology role. Candidates from accounting or finance administration backgrounds are not suited for this position.</p><p><b>Key Responsibilities</b></p><p>Data Pipeline Architecture &amp; Development</p><ul><li>Architect and lead development of complex, scalable ETL/ELT pipelines using Azure Data Factory, Microsoft Fabric Pipelines, Dataflows Gen2, and Azure Functions</li><li>Design and implement incremental load strategies including CDC (Change Data Capture), watermark-based loads, and partition-aware refresh patterns</li><li>Build robust error handling frameworks, retry logic, dead-letter queues, and automated alerting for pipeline failures</li><li>Optimize pipeline performance, execution costs, and scheduling across dev, staging, and production environments</li><li>Mentor junior engineers on pipeline design patterns and best practices</li></ul><p>Advanced Data Integration</p><ul><li>Architect integrations with complex enterprise sources: Microsoft Dynamics 365 (CRM and Business Central), Salesforce, SAP, NetSuite, REST/SOAP APIs, Azure SQL, Cosmos DB, Snowflake, relational databases, flat files, and streaming sources (Event Hubs, Kafka)</li><li>Design and implement custom Python-based data connectors with OAuth/API key authentication, rate limiting, and pagination</li><li>Lead integration projects end-to-end from requirements gathering through deployment</li></ul><p>Data Modeling &amp; Architecture</p><ul><li>Design enterprise dimensional data models: star schema, snowflake schema, data vault</li><li>Build subject-area data marts for business domains (operations, finance, sales, claims, clinical data)</li><li>Architect Lakehouse and Data Warehouse solutions in Microsoft Fabric</li><li>Build semantic models, measures, and relationships in Microsoft Fabric and Power BI</li><li>Implement SCD Types 1, 2, and 3; manage historical tracking and surrogate keys</li><li>Optimize partitioning strategies, indexing, and columnar storage for query performance</li></ul><p>Python Development</p><ul><li>Write production-quality Python scripts for data processing, transformation, and automation</li><li>Proficient with Pandas, NumPy, PySpark, requests, SQLAlchemy, pyodbc, openpyxl</li><li>Build custom ETL frameworks, validation engines, and reusable utility libraries</li><li>Implement unit tests, data contract validations, and automated quality assertions</li></ul><p>SQL &amp; Database Development</p><ul><li>Write highly optimized SQL including complex CTEs, window functions, recursive queries, and dynamic SQL</li><li>Build and maintain stored procedures, views, user-defined functions, and indexed views</li><li>Lead database performance tuning: query plan analysis, index strategies, statistics management</li></ul><p>Data Quality &amp; Governance</p><ul><li>Design and implement enterprise data quality frameworks: profiling, validation rules, anomaly detection</li><li>Build data quality monitoring dashboards with automated alerting</li><li>Maintain data lineage documentation, data dictionaries, and metadata catalogs</li><li>Enforce RBAC, column-level security, and row-level security in Fabric and Azure</li></ul><p>Cloud Infrastructure &amp; DevOps</p><ul><li>Deploy and manage Azure resources: Data Factory, Storage Accounts, Azure SQL, Key Vault, Function Apps</li><li>Implement Infrastructure as Code using ARM Templates or Bicep</li><li>Build and maintain CI/CD pipelines using Azure DevOps or GitHub Actions</li><li>Maintain Git version control practices, branching strategies, and code review standards</li></ul><p><b>Required Qualifications</b></p><ul><li>5+ years of hands-on experience in Data Engineering, ETL/ELT Development, or Data Platform roles</li><li>Expert-level experience with Azure Data Factory, Azure SQL, Azure Synapse, Azure Blob/ADLS Gen2, Azure Functions</li><li>Strong Microsoft Fabric experience: Lakehouse, Warehouse, Pipelines, Dataflows Gen2, Semantic Modeling</li><li>Advanced SQL: CTEs, window functions, query optimization, database design</li><li>Python proficiency: Pandas, NumPy, requests, SQLAlchemy, PySpark</li><li>Strong understanding of dimensional modeling, data warehousing, and ETL/ELT design patterns</li><li>Experience with REST API integrations, OAuth flows, and web services</li><li>Version control with Git/GitHub/Azure DevOps; Agile/Scrum experience</li></ul><p><b>Preferred Qualifications</b></p><ul><li>Microsoft Certifications: DP-203 (Azure Data Engineer Associate), DP-600 (Fabric Analytics Engineer), AZ-900</li><li>Power BI: data modeling, DAX, report development, deployment pipelines</li><li>Experience with dbt, Apache Airflow, or Databricks</li><li>Docker, containerization, and event-driven architectures (Event Hubs, Service Bus)</li><li>ERP integrations: Dynamics 365, SAP, NetSuite; CRM: Salesforce</li><li>US Healthcare data knowledge: HIPAA compliance, HL7/FHIR, HCPCS/CPT coding, DME billing, wound care claims &mdash; strong advantage</li><li>Financial analytics exposure: revenue cycle data, AR aging, financial reporting pipelines &mdash; a plus, but this is not a role for finance or accounting professionals</li><li>Based in Pakistan preferred for cross-timezone collaboration with US clients</li></ul><p><b>How to Apply</b> Email: techarchitectahussain@gmail.com | CC: hiring@salesteq.us Include: resume/CV, GitHub or portfolio (pipelines, SQL/Python scripts, data modeling, Azure/Fabric work), and a cover letter describing your ADF and Fabric experience, the most complex integration you have built, and your approach to data quality.</p><p>Job Type: Full-time</p><p>Pay: Rs350,000.00 - Rs500,000.00 per month</p><p>Work Location: Remote</p>

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