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ai engineer / api integrator

data pipeline 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.
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 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

Devsinc

<div>
 We are seeking a highly skilled
 
 Senior Data Engineer
 
 to design, build, and optimize scalable data pipelines, storage layers, and analytics infrastructure. The ideal candidate has strong data engineering foundations, deep experience with distributed data systems, and the ability to turn complex business requirements into high-performance, production-grade data solutions. The role also requires leadership in driving complex data projects end-to-end.
 
 
 
 Key Responsibilities:
 
 
 
 
 Leadership &amp; Project Management
 
 
 
 <ul>
 <li>
 Lead end-to-end technical delivery of data engineering projects.
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 Define technical scope, timelines, and engineering milestones.
 </li>
 <li>
 Manage and coordinate multiple stakeholders (data scientists, ML engineers, backend teams, and product teams).
 </li>
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 Conduct architectural reviews, ensure engineering best practices, and drive technical decision-making.
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 Mentor junior and mid-level engineers, fostering a culture of learning and excellence.
 </li>
 <li>
 Oversee code quality, documentation, and adherence to team standards.
 </li>
 <li>
 Proactively identify risks, dependencies, and areas for improvement across projects.
 
 
 </li>
 </ul>
 
 Data Engineering &amp; Systems Development
 
 
 
 <ul>
 <li>
 Design and implement scalable ETL/ELT pipelines for both batch and streaming workloads, and build/maintain data warehouses, lakes, and lakehouse architectures.
 </li>
 <li>
 Develop optimized data models (relational, dimensional, NoSQL) while ensuring data quality, lineage, governance, and metadata management.
 </li>
 <li>
 Write clean, modular, and well-tested production code in Python, Java, or Scala; build APIs, microservices, and integrations for data workflows; and implement CI/CD automation and testing.
 </li>
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 Build secure, scalable cloud-based data infrastructure on AWS/GCP/Azure using containerized, serverless, and distributed technologies, and manage IaC using Terraform, CloudFormation, etc.
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 <li>
 Work with modern data and streaming frameworks (Spark, Flink, Beam, Kafka, Kinesis, Pub/Sub) and cloud data platforms (Snowflake, BigQuery, Redshift, Databricks) to deliver real-time and event-driven pipelines.
 </li>
 <li>
 Collaborate with cross-functional teams (Data Scientists, ML Engineers, Software Engineers) and lead design discussions, code reviews, and mentoring to maintain engineering best practices
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 3+ years of experience in Data Engineering roles.
 </li>
 <li>
 Strong proficiency in Python, SQL, and at least one compiled language (Java/Scala/Go).
 </li>
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 Hands-on experience with data pipeline orchestration (Airflow, Dagster, Prefect, etc.).
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 Deep understanding of distributed systems, data partitioning, fault tolerance, and performance tuning.
 </li>
 <li>
 Experience with containerized environments (Docker, Kubernetes).
 </li>
 <li>
 Strong problem-solving skills, debugging abilities, and systems-level thinking.
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
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 Experience supporting ML Ops workflows and feature/data pipelines for machine learning models and AI applications.
 </li>
 <li>
 Knowledge of Delta Lake and Data Warehouse.
 </li>
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 Familiarity with security, compliance, access controls, and enterprise data governance.
 </li>
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 Exposure to data observability tools (Monte Carlo, Databand, Soda, etc.).
 </li>
 <li>
 Background in AI, analytics, or large-scale product engineering is a plu
 </li>
 </ul>
</div>

Senior Data Engineer.

Algo

<div>Job Title: Data Engineer 
Location: DHA Phase-8, Lahore 
 
Job Responsibilities: 
1. Design, build, and maintain efficient and scalable ETL/ELT data pipelines using tools like Azure Data Factory or Apache Airflow 
2. Develop, test, and deploy Python-based data processing solutions 
3. Work with Snowflake, Databricks and other data warehousing technologies to support data analytics and reporting needs 
4. Write complex and optimized SQL queries for data transformation and extraction 
5. Ensure data quality, accuracy, and compliance with internal and external standards 
6. Collaborate with data engineers, analysts, and stakeholders to define and implement data workflows 
7. Utilize version control (Git) and CI/CD pipelines for code deployment and process 
automation 
8. (Optional/Preferred) Support backend services using Django and task queues with 
Celery 

Qualifications Needed:
<ul>
<li>Python 
</li>
<li>SQL 
</li>
<li>Snowflake 
</li>
<li>Databricks 
</li>
<li>Azure (or AWS) 
</li>
<li>ETL/ELT 
</li>
<li>ADF / Apache Airflow 
</li>
<li>Data Warehousing 
</li>
<li>Git 
</li>
<li>CI/CD 
</li>
<li>Django (preferred) 
</li>
<li>Celery (preferred)</li></ul></div>

Data Engineer (4-5 Years)

<div>Position: Data Engineer (Azure Platform)

Location: Lahore, Pakistan (on-site)<div> 
Job Description 
<ul><li>Design and develop scalable data warehouse solutions to support analytics and reporting.</li><li>Build and maintain efficient Azure Data Pipelines using Azure Data Factory for ETL processes.</li><li>Develop and optimize Spark jobs using Databricks and PySpark for large-scale data transformations.</li><li>Coordinate with onsite and offshore teams to ensure seamless project execution and business continuity.</li><li>Develop and maintain dashboards and reports using BI tools such as Power BI, Tableau, MicroStrategy, or Qlik.</li><li>Manage the presentation and access layers to ensure secure and efficient data access.</li><li>Work directly with clients and stakeholders to understand requirements and deliver actionable data solutions</li></ul></div> 
Qualifications
<ul><li>BS in Computer Science or a related field with 4-5 years of experience in BI and data management projects.</li><li>Strong expertise in database and data warehouse design, support, and maintenance.</li><li>Proficiency in writing complex SQL and SparkSQL queries.</li><li>Experience in Python and its data-related frameworks.</li><li>Hands-on experience with Databricks and PySpark for data engineering tasks.</li><li>Strong proficiency in Power BI; experience with other BI tools is a plus.</li><li>Experience with Azure Data Platform (Data Factory, Azure SQL, Synapse, Data Lake) is preferred.</li><li>Ability to generate and maintain comprehensive technical documentation.</li><li>Excellent communication and interpersonal skills.</li><li>Strong analytical and problem-solving abilities.</li><li>Willingness to learn and adapt to new technologies and project requirements.</li><li>Experience in data analysis is a plus.</li><li>Ability to work independently and handle critical situations confidently.</li><li>A collaborative, team-oriented mindset.</li></ul></div>

Data Engineer (Azure Platform)

OutsourceNZ 

We&rsquo;re looking for an ETL &amp; Healthcare Data Integration Engineer who can build, maintain, and improve data pipelines that move clinical and administrative healthcare data across systems. This role is hands-on and ideal for someone who enjoys integration work, research/problem-solving, and working across formats and platforms.Key Responsibilities: Design, develop, and support ETL pipelines for healthcare data ingestion, normalization, validation, and delivery.Work with healthcare data exchange standards including:HL7 v2, HL7 v3FHIR (R4 preferred)CQM / eCQM, MIPS reporting formats and workflowsBuild integrations between EMRs/EHRs, billing systems, HIEs, labs, and third-party partners via APIs, SFTP, flat files, and message queues.Parse, transform, map, and reconcile clinical data (demographics, encounters, problems/diagnoses, orders, results, insurance, etc.).Write and optimize SQL queries, stored logic, and schemas to support analytics and integration workflows.Debug real-world data issues (missing fields, duplicates, invalid dates, inconsistent coding, broken messages) and implement durable fixes.Collaborate with cross-functional teams to gather requirements and deliver integration solutions.Contribute to R&amp;D efforts: evaluate tools/libraries, propose architecture improvements, and build POCs.Required Skills &amp; Experience:Strong experience with ETL development and data transformation workflows.Solid understanding of healthcare interoperability standards:HL7 v2 (required), familiarity with v3 is a plusFHIR (resources, bundles, APIs)CQM / MIPS concepts and reporting data structuresWorking experience with Python (required); PHP familiarity is a plus.Strong database skills: Comfortable with MySQL/Postgres (or similar)Writing complex joins, indexing, performance tuning, data quality checksExperience with integration methods:REST APIs, file-based exchange (CSV/JSON/XML), SFTP, webhooksStrong troubleshooting mindset and ability to work with messy production data.Nice to Have:Experience with integration engines (e.g., Mirth / NextGen Connect).Knowledge of coding systems: ICD-10, CPT, LOINC, SNOMED.Familiarity with HIPAA/security best practices and audit-friendly logging.Exposure to cloud infrastructure (AWS/GCP/Azure) and containerization.What Success Looks Like:Reliable pipelines with clear monitoring and low failure rates.Faster onboarding of new data sources and partners.Clean, normalized outputs with reduced duplicates and improved data quality.Clear documentation and repeatable processes for new integrations.Soft Skills:Strong communication and documentation habits.Comfortable working in ambiguous environments and learning quickly.Ownership mindset: proactive, accountable, and delivery-focused.Job Type: Full-timePay: Rs250,000.00 - Rs600,000.00 per monthExperience:<ul><li>Healthcare Product: 3 years (Required)</li><li>MySQL/Postgres: 3 years (Required)</li><li>Writing complex joins, indexing, performance tuning: 3 years (Required)</li><li>ETL development and data transformation workflows.: 3 years (Required)</li></ul>Work Location: In person

ETL & Healthcare Data Integration Engineer

Analytica-data

Position: Machine Learning Engineer Experience: 2&ndash;5 Years Location: On-SiteRole OverviewBuild, train, optimize and deploy machine learning models while managing data pipelines and improving model accuracy for business applications.Core Responsibilities<ul><li>Train ML/DL models using TensorFlow/PyTorch.</li><li>Preprocess datasets and perform model tuning.</li><li>Deploy models using Docker/FastAPI on cloud platforms.</li><li>Monitor production accuracy and retrain based on new inputs.</li><li>Research new AI approaches and improve pipeline efficiency.</li></ul>Technical Skills &amp; ToolsSoftware &amp; Tools: Jira, Trello, ClickUp, Asana, Monday.com Documentation: Confluence, Notion, Google Workspace, MS Office Diagramming: Draw.io, Lucidchart, Figma (flows/UI mapping) CRM (Pre-Sales): HubSpot, Zoho, Salesforce (basic use)Technical Understanding:<ul><li>REST/GraphQL APIs for integration</li><li>SQL basics for data extraction &amp; reports</li><li>Cloud (AWS/Azure/GCP) deployment familiarity</li><li>AI/ML concepts &mdash; LLMs, predictive models, training workflows</li><li>SDLC &amp; MLOps awareness</li><li>Basic understanding of web stack (HTML/CSS/JS)</li></ul>Job Type: Full-timeWork Location: In person

Machine Learning Engineer

Sharp Brains Ltd

Role Overview: AI/ML Engineer (Animation Technology)As an AI/ML Engineer within our Animation Department your mission is to bridge the gap between complex machine learning research and the creative production pipeline.Key Responsibilities<ul><li>Generative AI Development: Design and deploy GANs, Diffusion models, and Transformers specifically tailored for character animation, background synthesis, and texture generation.</li><li>Motion Synthesis &amp; Rigging: Develop ML-driven solutions for automated rigging, muscle simulation, and motion retargeting to create more fluid, lifelike character movements.</li><li>Pipeline Integration: Collaborate with Technical Directors (TDs) to integrate AI tools directly into industry-standard software like Maya, Houdini, or Unreal Engine.</li><li>Neural Rendering: Explore and implement Neural Radiance Fields (NeRFs) and other AI-driven rendering techniques to optimize lighting and look-development workflows.</li><li>Dataset Curation: Build and manage high-quality datasets derived from our internal library of motion capture and hand-keyed animation to train proprietary models.</li></ul>Core Requirements<ul><li>Technical Proficiency: Strong mastery of Python, PyTorch, or TensorFlow. Experience with C++ is a significant plus for high-performance tool integration.</li><li>Domain Knowledge: Solid understanding of 3D mathematics (linear algebra, quaternions) and the standard animation pipeline (Modeling $\rightarrow$ Rigging $\rightarrow$ Animation $\rightarrow$ Rendering).</li><li>ML Expertise: Proven experience in Computer Vision (CV), Deep Learning, and specifically Generative Modeling.</li></ul>Preferred Qualifications<ul><li>Experience with OpenUSD (Universal Scene Description).</li><li>Prior work with Real-time engines (Unreal Engine 5 / Unity).</li><li>A portfolio or GitHub showing projects related to style transfer, automated lip-syncing, or pose estimation.</li></ul>Job Type: Full-timePay: Rs75,000.00 - Rs85,000.00 per monthWork Location: In person

AI/ML Engineer (Animation Technology)

Explore 1014+ Data pipeline engineer in Lahore this December. Find roles across top companies and apply now to boost your career.