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data integration engineer

Datamatics Global Services Ltd

<div><h2 class="jobSectionHeader">Informatica DEI Engineer</h2>
Location: Remote (UAE Time Zone) 
Experience: 5+ Years 
Availability: Immediate joiners or candidates who can start within 30 days preferred<h3 class="jobSectionHeader"> 
Role Overview</h3>
We are looking for an experienced Informatica DEI Engineer to design, build, and optimize large-scale data integration pipelines across batch and streaming workloads within the Informatica DEI and Cloudera ecosystem.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Design, build, test, and deploy data integration mappings and workflows in Informatica DEI.</li><li>
Integrate Informatica DEI with Cloudera clusters, ensuring security, performance, and connectivity.</li><li>
Monitor and support operational jobs, troubleshoot failures, and implement corrective actions.</li><li>
Tune data job performance: optimize mappings, sessions, and resource usage.</li><li>
Implement and maintain data quality frameworks and integration with data platforms.</li><li>
Collaborate with DevOps to build CI/CD pipelines and automate environment deployments.</li><li>
Maintain documentation, runbooks, and standards for DEI operations.</li><li>
Drive incident management, root cause analysis, and performance improvement initiatives.</li></ul><h3 class="jobSectionHeader">
Requirements</h3><ul><li>
5+ years of hands-on experience in Informatica DEI (Data Engineering Integration).</li><li>
Expertise in ETL design, data transformation, and performance optimization.</li><li>
Experience integrating Informatica DEI with Hadoop/Cloudera environments.</li><li>
Familiarity with data quality, automation, and CI/CD practices.</li><li>
Excellent problem-solving and collaboration skills.</li></ul>
hw9qdZkI2h</div>

Informatica DEI Engineer

The Services Tree Enterprises 

Job Description: SourceTeK is hiring a Data Engineer for one of our clients based in Johar Town, Lahore. We are looking for a motivated professional with 2&ndash;3+ years of experience in data engineering, especially someone who has hands-on experience with DBT tools and a strong understanding of modern data pipelines.Key Responsibilities:<ul><li>Build, maintain, and optimize data pipelines</li><li>Work with DBT tools for data modeling and transformations</li><li>Collaborate with cross-functional teams to ensure data accuracy and availability</li><li>Troubleshoot and optimize data workflows</li></ul>Requirements:<ul><li>2&ndash;3+ years of experience as a Data Engineer</li><li>Strong experience with DBT tools</li><li>Proficiency in SQL and data pipeline development</li><li>Experience with cloud platforms is a plus</li><li>Strong analytical and problem-solving skills</li></ul>How to Apply: If you&rsquo;re interested, please send your resume to talent@sourcetek.co or apply through Indeed.Job Type: Full-timePay: Rs120,000.00 - Rs200,000.00 per monthExperience:<ul><li>Data Engineer: 2 years (Preferred)</li></ul>Work Location: In person

Data Engineer

Cloudelligent

<div>Position Title: Sr. Data Migration Engineer 
Job Timings: 8am-5pm CST 
Location: Lahore 
 
About Cloudelligent 
Cloudelligent is a Cloud-native consultancy and AWS Advanced consulting partner! We specialize in providing bespoke cloud solutions to the Startups, SMB &amp; enterprise segment. Being a next gen cloud service provider, Cloudelligent helps businesses to make the most out of their cloud investment. We have an international footprint with a diverse team of domain experts, and we are customer- obsessed. 
 
Job Objective 
We&rsquo;re looking for a Senior Data Migration Engineer to drive the data conversion work that powers successful LegalTech SaaS implementations. As firms move from legacy tools to modern platforms, your work ensures that their financial, operational, and practice data is clean, accurate, and ready for day-one use. You&rsquo;ll lead the full ETL lifecycle analyzing legacy structures, mapping data to modern schemas, running test conversions, validating results, and supporting a seamless go-live experience. 
 
Responsibilities<ul><li>
Analyze legacy financial and practice-management data structures and design end-to-end conversion strategies.</li><li>
Collaborate with project managers and implementation consultants to understand mapping requirements and business rules.</li><li>
Translate functional requirements into clear, scalable technical migration plans.</li><li>
Extract data from SQL databases, CSV exports, APIs, and other legacy sources.</li><li>
Write and optimize complex SQL queries (joins, CTEs, validation queries, reconciliation logic).</li><li>
Develop Python scripts or reusable ETL tools to automate recurring processes and improve consistency.</li><li>
Build and maintain detailed data-mapping documentation across all migration objects.</li><li>
Perform dry-run migrations and validate data accuracy across financial and operational modules.</li><li>
Execute final production loads and deliver reconciliation reports for billing, WIP, AR, GL, and related datasets.</li><li>
Investigate and resolve anomalies, data gaps, or logic errors across multiple data sources.</li><li>
Create detailed technical documentation, mapping dictionaries, transformation logic, and conversion specifications.</li><li>
Serve as a primary technical partner to project managers, implementation consultants, and client IT teams.</li><li>
Clearly communicate data issues, risks, and recommendations in both technical and non-technical terms.</li><li>
Help build and enhance migration templates, automation scripts, and best-practice playbooks.</li><li>
Identify opportunities to streamline processes, reduce manual work, and strengthen data quality.</li></ul>
Requirements<ul><li>
4+ years in data migration, ETL engineering, data conversion, or ERP/SaaS system integration.</li><li>
Advanced SQL skills (joins, CTEs, schema work, validation logic, troubleshooting, performance tuning).</li><li>
Strong Excel/Power Query skills and Python experience (Pandas/NumPy a plus).</li><li>
Experience with structured and semi-structured file formats (CSV, JSON, XML).</li><li>
Demonstrated ability to analyze complex datasets, identify patterns, and resolve data-quality issues.</li><li>
Experience executing multi-object migration cycles (dry runs, reconciliations, cutovers).</li><li>
Strong documentation habits and the ability to produce clear technical specifications.</li><li>
Excellent communication skills and comfort working cross-functionally with non-technical stakeholders.</li><li>
Experience in legal-tech, professional services, or financial systems is a plus.</li></ul>
7RvOvrPUPl</div>

Sr. Data Migration Engineer

Sr. Data Migration Engineer (C4-1125150)

Devsinc

<div>
 Devsinc is seeking a talented
 
 Data Engineer
 
 having minimum of
 
 2 years of professional experience
 
 to join our growing data team. In this role, you will design and build scalable data pipelines, work with modern cloud platforms, and lay the foundation for analytics that drive critical business decisions. From day one, you'll learn from senior engineers, work with a modern cloud stack, and see your contributions make a tangible impact.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Design, develop, and maintain automated ETL/ELT data pipelines for structured and unstructured datasets.
 </li>
 <li>
 Build and optimize scalable, secure, and cost-efficient cloud data solutions using AWS, Azure, or GCP.
 </li>
 <li>
 Model, cleanse, and transform data to support analytics, dashboards, and reporting use-cases.
 </li>
 <li>
 Implement automated testing, monitoring, and alerting to ensure high data quality and reliability.
 </li>
 <li>
 Develop high-performance Python-based services and utilities for data ingestion and processing.
 </li>
 <li>
 Work with APIs, event-driven systems, and streaming platforms for real-time data workflows.
 </li>
 <li>
 Collaborate with cross-functional teams (Data Science, Backend, DevOps, Product) to gather requirements and deliver tailored data solutions.
 </li>
 <li>
 Follow strong software engineering best practices &mdash; clean code, modularity, version control, CI/CD.
 </li>
 <li>
 Document architecture, data flows, schemas, and development standards.
 </li>
 <li>
 Stay updated on evolving data engineering tools, frameworks, and cloud-native technologies
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Software Engineering, or a related field.
 </li>
 <li>
 Minimum 2 years of professional experience
 </li>
 <li>
 Strong knowledge of Python and SQL for data processing and transformation.
 </li>
 <li>
 Hands-on experience with at least one major cloud platform &mdash; AWS, GCP, or Azure.
 </li>
 <li>
 Exposure to cloud-native data services such as AWS Glue, Redshift, Azure Data Factory, BigQuery, Synapse, etc.
 </li>
 <li>
 Familiarity with modern data warehouses &mdash; Snowflake, Redshift, BigQuery, or Synapse.
 </li>
 <li>
 Strong understanding of ETL/ELT frameworks such as dbt, Apache Spark, or Databricks.
 </li>
 <li>
 Experience working with orchestration tools like Apache Airflow, Azure Data Factory Pipelines, or AWS Glue Workflows.
 </li>
 <li>
 Proficiency with version control systems (GitHub, GitLab, Bitbucket) and CI/CD pipelines.
 </li>
 <li>
 Solid understanding of Data Lake architectures (S3, ADLS, GCS) and schema design principles.
 </li>
 <li>
 Basic understanding of data governance, security, compliance, and access management concepts.
 </li>
 <li>
 Familiarity with streaming platforms such as Kafka, Amazon Kinesis, or Google Pub/Sub
 </li>
 <li>
 Collaborative - open to knowledge-sharing and teamwork.
 </li>
 <li>
 Team Player - willing to support peers and contribute to collective success.
 </li>
 <li>
 Growth Minded - eager to learn, improve, and adapt to emerging technologies.
 </li>
 <li>
 Adaptable - flexible in dynamic, fast-paced environments.
 </li>
 <li>
 Customer-Centric - focused on delivering solutions that create real business value
 </li>
 </ul>
</div>

Software Data Engineer

WindshieldHUB

<div><h2 class="jobSectionHeader">Job Summary 
We&rsquo;re seeking a Senior AI Integration Engineer with full-stack expertise and hands-on experience developing real-world AI systems. The ideal candidate can architect, code, and deploy advanced AI solutions that power automation, analytics, and data-driven applications. This role offers the opportunity to lead technical innovation, work with modern frameworks, and help shape the foundation for next-generation AI-powered products.</h2><h2 class="jobSectionHeader">
About the Role 
We&rsquo;re looking for a Senior AI Integration Engineer with strong full-stack experience and a passion for building and deploying real-world AI-powered systems. This role is ideal for an engineer who thrives at the intersection of AI architecture, backend logic, and automation &mdash; someone who can take ideas from concept to production. You&rsquo;ll help define how AI is embedded across modern platforms and services, driving innovation and building the foundation for future AI-driven products. You&rsquo;ll work closely with our technical leads, collaborate with developers, and play a key role in integrating advanced AI capabilities across multiple systems.</h2><h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Design and implement AI-driven features and automations within enterprise-grade applications.</li><li>
Build and maintain data pipelines and event-driven workflows for model training, inference, and feedback.</li><li>
Integrate LLMs, vector databases, and AI orchestration frameworks into existing environments.</li><li>
Develop and deploy AI agents for process automation, knowledge retrieval, and analytics summarization.</li><li>
Collaborate with development leads to ensure performance, scalability, and data privacy.</li><li>
Document and maintain clear integration processes and architecture guidelines.</li><li>
Provide mentorship on AI/ML best practices to other engineers.</li><li>
Continuously identify opportunities to improve existing systems using AI-driven enhancements.</li></ul><h2 class="jobSectionHeader">
Required Technical Skills</h2><ul><li>
Strong programming background in Python, Node.js, or PHP (Laravel experience preferred).</li><li>
Hands-on experience with AI/ML frameworks such as PyTorch, TensorFlow, LangChain, or Hugging Face.</li><li>
Proven experience integrating LLMs (OpenAI, Anthropic, Meta Llama 3, or fine-tuned custom models).</li><li>
Practical experience with vector databases (Pinecone, Weaviate, Chroma, FAISS).</li><li>
Familiarity with frontend frameworks such as Vue.js, Nuxt.js, or React/Next.js.</li><li>
Strong understanding of API design, microservices, and event-driven architecture.</li><li>
Knowledge of data engineering principles (ETL, preprocessing, data labeling).</li><li>
Experience building RAG (Retrieval-Augmented Generation) systems and automation workflows.</li></ul><h2 class="jobSectionHeader">
Soft Skills</h2><ul><li>
Strong leadership through action &mdash; hands-on and collaborative.</li><li>
Excellent documentation and communication skills.</li><li>
Strategic thinker with strong problem-solving abilities.</li><li>
Adaptable and motivated by fast-paced innovation.</li><li>
Passion for building high-impact systems that scale.</li></ul><h2 class="jobSectionHeader">
What We Offer</h2><ul><li>
Full-time, long-term opportunity with room for advancement as AI initiatives expand.</li><li>
A dynamic environment focused on innovation, creativity, and impact.</li><li>
The chance to shape the AI foundation for new and existing digital products.</li></ul>
tSrSoAAtGy</div>

Senior AI Integration Engineer

WindshieldHUB.com

<div>
 
 Job Summary
 
 
 
 We&rsquo;re seeking a Senior AI Integration Engineer with full-stack expertise and hands-on experience developing real-world AI systems. The ideal candidate can architect, code, and deploy advanced AI solutions that power automation, analytics, and data-driven applications. This role offers the opportunity to lead technical innovation, work with modern frameworks, and help shape the foundation for next-generation AI-powered products.
 
 
 
 About The Role
 
 
 
 We&rsquo;re looking for a Senior AI Integration Engineer with strong full-stack experience and a passion for building and deploying real-world AI-powered systems. This role is ideal for an engineer who thrives at the intersection of AI architecture, backend logic, and automation &mdash; someone who can take ideas from concept to production. You&rsquo;ll help define how AI is embedded across modern platforms and services, driving innovation and building the foundation for future AI-driven products. You&rsquo;ll work closely with our technical leads, collaborate with developers, and play a key role in integrating advanced AI capabilities across multiple systems.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement AI-driven features and automations within enterprise-grade applications
 </li>
 <li>
 Build and maintain data pipelines and event-driven workflows for model training, inference, and feedback
 </li>
 <li>
 Integrate LLMs, vector databases, and AI orchestration frameworks into existing environments
 </li>
 <li>
 Develop and deploy AI agents for process automation, knowledge retrieval, and analytics summarization
 </li>
 <li>
 Collaborate with development leads to ensure performance, scalability, and data privacy
 </li>
 <li>
 Document and maintain clear integration processes and architecture guidelines
 </li>
 <li>
 Provide mentorship on AI/ML best practices to other engineers
 </li>
 <li>
 Continuously identify opportunities to improve existing systems using AI-driven enhancements
 
 
 </li>
 </ul>
 
 Required Technical Skills
 
 
 
 <ul>
 <li>
 Strong programming background in Python, Node.js, or PHP (Laravel experience preferred)
 </li>
 <li>
 Hands-on experience with AI/ML frameworks such as PyTorch, TensorFlow, LangChain, or Hugging Face
 </li>
 <li>
 Proven experience integrating LLMs (OpenAI, Anthropic, Meta Llama 3, or fine-tuned custom models)
 </li>
 <li>
 Practical experience with vector databases (Pinecone, Weaviate, Chroma, FAISS)
 </li>
 <li>
 Familiarity with frontend frameworks such as Vue.js, Nuxt.js, or React/Next.js
 </li>
 <li>
 Strong understanding of API design, microservices, and event-driven architecture
 </li>
 <li>
 Knowledge of data engineering principles (ETL, preprocessing, data labeling)
 </li>
 <li>
 Experience building RAG (Retrieval-Augmented Generation) systems and automation workflows
 
 
 </li>
 </ul>
 
 Soft Skills
 
 
 
 <ul>
 <li>
 Strong leadership through action &mdash; hands-on and collaborative
 </li>
 <li>
 Excellent documentation and communication skills
 </li>
 <li>
 Strategic thinker with strong problem-solving abilities
 </li>
 <li>
 Adaptable and motivated by fast-paced innovation
 </li>
 <li>
 Passion for building high-impact systems that scale
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Full-time, long-term opportunity with room for advancement as AI initiatives expand
 </li>
 <li>
 A dynamic environment focused on innovation, creativity, and impact
 </li>
 <li>
 The chance to shape the AI foundation for new and existing digital products
 
 
 </li>
 </ul>
 Powered by JazzHR
 
 
 ohip634vqO
</div>

Senior AI Integration Engineer (Hands-On / Full Stack AI Developer)

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