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Datamatics Global Services Ltd

<div>Job Title: Data Integration / ETL Developer (Oracle Cloud Data Integration) 
Location: Offshore 
Experience: 5+ Years<h3 class="jobSectionHeader">
Job Summary</h3>
We are seeking an experienced Data Integration / ETL Developer responsible for designing and developing data ingestion and transformation pipelines to support enterprise analytics and reporting solutions. The ideal candidate will work with large datasets and build scalable ETL workflows that feed data into the analytics layer used for dashboards and business intelligence reports.
The role requires strong expertise in Oracle Cloud Data Integration (OCI Data Integration) or similar ETL platforms, along with advanced SQL and data transformation skills. The candidate will collaborate closely with BI developers and analysts to ensure that data structures and pipelines effectively support reporting and analytics requirements.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Develop and maintain data ingestion and transformation pipelines using Oracle Cloud Data Integration.</li><li>
Design and implement ETL workflows to extract, transform, and load data into the analytics data layer.</li><li>
Build and maintain data mappings and transformation logic to support business reporting requirements.</li><li>
Support data preparation, cleansing, and dataset creation for dashboards and analytics solutions.</li><li>
Troubleshoot and resolve data pipeline issues, failures, and data availability problems.</li><li>
Collaborate with BI developers and analysts to ensure data structures support reporting and dashboard requirements.</li><li>
Optimize ETL pipelines for performance, reliability, and scalability.</li><li>
Ensure proper documentation of data pipelines, mappings, and transformation rules.</li><li>
Follow data governance and best practices for data integration and quality management.</li></ul><h3 class="jobSectionHeader">
Required Skills &amp; Qualifications</h3><ul><li>
Hands-on experience with Oracle Cloud Data Integration (OCI DI) or similar ETL tools.</li><li>
Strong proficiency in SQL and data transformation techniques.</li><li>
Experience designing and developing ETL pipelines for analytics and reporting solutions.</li><li>
Knowledge of data modelling concepts and data warehousing principles.</li><li>
Ability to work with large datasets and complex data transformation logic.</li><li>
Strong troubleshooting and problem-solving skills.</li><li>
Good collaboration skills to work with BI developers, analysts, and data teams.</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Experience with cloud-based data platforms and analytics environments.</li><li>
Familiarity with data warehousing architectures such as star schema and dimensional modelling.</li><li>
Exposure to Agile or iterative data engineering development practices.</li></ul>
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Data Integration / ETL Developer (Oracle Cloud Data Integration)

Datamatics Technologies

<div>
 
 
 Job Title:
 
 Data Integration / ETL Developer (Oracle Cloud Data Integration)
 
 
 Location:
 
 &nbsp;Offshore
 
 
 Experience:
 
 5+ Years
 
 Job Summary
 
 We are seeking an experienced
 
 Data Integration / ETL Developer
 
 responsible for designing and developing data ingestion and transformation pipelines to support enterprise analytics and reporting solutions. The ideal candidate will work with large datasets and build scalable ETL workflows that feed data into the analytics layer used for dashboards and business intelligence reports.
 
 
 The role requires strong expertise in
 
 Oracle Cloud Data Integration (OCI Data Integration) or similar ETL platforms
 
 , along with advanced SQL and data transformation skills. The candidate will collaborate closely with BI developers and analysts to ensure that data structures and pipelines effectively support reporting and analytics requirements.
 
 Key Responsibilities
 <ul>
 <li>
 
 Develop and maintain
 
 data ingestion and transformation pipelines
 
 using Oracle Cloud Data Integration.
 
 </li>
 <li>
 
 Design and implement
 
 ETL workflows
 
 to extract, transform, and load data into the analytics data layer.
 
 </li>
 <li>
 
 Build and maintain
 
 data mappings and transformation logic
 
 to support business reporting requirements.
 
 </li>
 <li>
 
 Support
 
 data preparation, cleansing, and dataset creation
 
 for dashboards and analytics solutions.
 
 </li>
 <li>
 
 Troubleshoot and resolve
 
 data pipeline issues, failures, and data availability problems
 
 .
 
 </li>
 <li>
 
 Collaborate with
 
 BI developers and analysts
 
 to ensure data structures support reporting and dashboard requirements.
 
 </li>
 <li>
 
 Optimize ETL pipelines for
 
 performance, reliability, and scalability
 
 .
 
 </li>
 <li>
 
 Ensure proper
 
 documentation of data pipelines, mappings, and transformation rules
 
 .
 
 </li>
 <li>
 
 Follow data governance and best practices for
 
 data integration and quality management
 
 .
 
 </li>
 </ul>
 Required Skills &amp; Qualifications
 <ul>
 <li>
 
 Hands-on experience with
 
 Oracle Cloud Data Integration (OCI DI) or similar ETL tools
 
 .
 
 </li>
 <li>
 
 Strong proficiency in
 
 SQL and data transformation techniques
 
 .
 
 </li>
 <li>
 
 Experience designing and developing
 
 ETL pipelines for analytics and reporting solutions
 
 .
 
 </li>
 <li>
 
 Knowledge of
 
 data modelling concepts and data warehousing principles
 
 .
 
 </li>
 <li>
 
 Ability to work with
 
 large datasets and complex data transformation logic
 
 .
 
 </li>
 <li>
 
 Strong troubleshooting and problem-solving skills.
 
 </li>
 <li>
 
 Good collaboration skills to work with BI developers, analysts, and data teams.
 
 </li>
 </ul>
 Preferred Qualifications
 <ul>
 <li>
 
 Experience with
 
 cloud-based data platforms and analytics environments
 
 .
 
 </li>
 <li>
 
 Familiarity with
 
 data warehousing architectures such as star schema and dimensional modelling
 
 .
 
 </li>
 <li>
 
 Exposure to
 
 Agile or iterative data engineering development practices
 
 .
 
 </li>
 </ul>
</div>

CareCloud

Key Responsibilities:<ul><li>Develop, maintain, and optimize ETL/ELT data pipelines.</li><li>Extract, transform, and load healthcare data from multiple sources (EHR/EMR systems, billing systems, APIs, etc.).</li><li>Design and maintain databases, data warehouses, and data models.</li><li>Ensure data quality, integrity, and validation across systems.</li><li>Write efficient SQL queries for data extraction and reporting.</li><li>Collaborate with BI developers, analysts, and software engineers to deliver reliable datasets.</li><li>Support data integration with third-party healthcare systems.</li><li>Monitor and troubleshoot data pipeline issues.</li><li>Ensure compliance with healthcare regulations (e.g., HIPAA) and data security standards.</li><li>Maintain proper documentation of data processes and workflows.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Engineering, Software Engineering, or related field.</li><li>1&ndash;2 years of hands-on experience in data engineering or data development.</li><li>Strong SQL skills and experience with relational databases (MySQL, PostgreSQL, SQL Server, etc.).</li><li>Basic understanding of data warehousing concepts and data modeling.</li><li>Experience with ETL tools or scripting (Python, Airflow, SSIS, or similar).</li><li>Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus.</li><li>Understanding of APIs and data integration techniques.</li><li>Strong analytical and problem-solving skills.</li><li>Good communication and teamwork abilities.</li></ul>Job Type: Full-timePay: Rs150,000.00 - Rs200,000.00 per monthWork Location: In person

Data Engineer

Role Summary: We are seeking a results-driven BI Developer to design, develop, and maintain enterprise-level business intelligence solutions using Power BI and Tableau. The role focuses on data modeling, reporting, analytics, and transforming raw data into actionable insights while ensuring data quality, security, and performance.Key Responsibilities:<ul><li>Design, develop, and administer BI dashboards, reports, and analytics solutions using Power BI and Tableau.</li><li>Analyze business requirements and translate them into data models, KPIs, and visualizations.</li><li>Define and implement Data Warehousing strategies by analyzing existing data models and source systems.</li><li>Develop and manage ETL / data migration processes to transform data from OLTP systems to OLAP environments.</li><li>Manage and synchronize data changes from transactional systems into analytical layers.</li><li>Build and optimize semantic models to support enterprise reporting and self-service analytics.</li><li>Collaborate with Database Developers, Data Engineers, and Infrastructure teams to support enterprise databases and BI platforms.</li><li>Ensure data accuracy, consistency, and quality management across all BI solutions.</li><li>Create and maintain custom reports and dashboards to meet business and leadership requirements.</li><li>Implement data security controls, including role-based access and Row-Level Security (RLS).</li><li>Participate in BI-related IT projects involving new implementations or major enhancements.</li><li>Maintain BI documentation, data dictionaries, and report specifications.</li><li>Work closely with stakeholders to continuously improve reporting and analytics capabilities.</li><li>Perform any other duties assigned by the Supervisor as required by business needs.</li></ul>Required Skills &amp; Qualifications:<ul><li>2&ndash;3 years of experience as a BI Developer / Business Intelligence Analyst.</li><li>Strong hands-on experience with Power BI (DAX, Power Query) and Tableau.</li><li>Solid understanding of SQL, relational databases, and data warehousing concepts.</li><li>Experience working with OLTP and OLAP systems.</li><li>Knowledge of ETL tools, data pipelines, and data integration.</li><li>Strong analytical, problem-solving, and communication skills.</li></ul>Job Type: Full-timePay: Rs150,000.00 - Rs250,000.00 per monthWork Location: In person

Business Intelligence Developer

Careem

<div>
 
 About the Company
 
 
 
 Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires.
 
 
 Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.
 
 
 
 
 We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.
 
 
 
 
 
 About The Role
 
 
 
 We are seeking a highly skilled and motivated Data Warehouse Engineer to join our team. As a Data Warehouse Engineer, you will play a critical role in designing, developing, and maintaining our data infrastructure, ensuring the availability, scalability, and reliability of our data systems. You will collaborate closely with cross-functional teams, including data scientists, analysts, and software engineers, to support data-driven decision-making and enable the efficient processing of large-scale data.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Design and develop robust, scalable, and high-performance data pipelines and ETL processes to extract, transform, and load data from various sources into our data warehouse or data lake.
 </li>
 <li>
 Collaborate with stakeholders to understand their data requirements, and design and implement appropriate data models and database schemas to support their needs.
 </li>
 <li>
 Optimize data pipelines and ETL processes for performance and efficiency, ensuring timely and accurate data delivery to end-users.
 </li>
 <li>
 Monitor, troubleshoot, and resolve issues related to data quality, data consistency, and data integrity, ensuring the reliability and correctness of our data systems.
 </li>
 <li>
 Implement and maintain data governance practices and policies, ensuring compliance with data privacy and security regulations.
 </li>
 <li>
 Collaborate with data scientists and analysts to provide them with the necessary data infrastructure and tools for conducting advanced analytics and deriving insights.
 </li>
 <li>
 Stay up-to-date with the latest trends and technologies in data engineering and recommend innovative solutions to improve data engineering processes and systems.
 </li>
 <li>
 Document data engineering processes, data flows, and system architectures to ensure knowledge sharing and maintain an up-to-date repository of technical documentation.
 </li>
 <li>
 Work closely with cross-functional teams, including software engineers and infrastructure teams, to optimize data infrastructure and ensure its seamless integration with other systems.
 
 
 </li>
 </ul>
 
 What You'll Need
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Engineering, or a related field.
 </li>
 <li>
 At least 6 years of experience as a Data Warehouse] Engineer or in a similar role, working with large-scale data processing and ETL pipelines.
 </li>
 <li>
 Strong programming skills in languages such as Python, Java, or Scala, with experience in data manipulation and processing frameworks like Apache Spark.
 </li>
 <li>
 Experience with SQL and database technologies (e.g., relational databases, SQL queries, data modeling).
 </li>
 <li>
 Proficiency in working with big data technologies such as Hadoop, Hive and knowledge of distributed systems and cloud computing platforms (e.g., AWS, Azure, GCP).
 </li>
 <li>
 Familiarity with data integration and workflow management tools such as Apache Airflow
 </li>
 <li>
 Knowledge of data warehousing concepts and experience with data warehousing solutions is highly desirable.
 </li>
 <li>
 Strong analytical and problem-solving skills, with the ability to analyze complex data-related issues and propose effective solutions.
 </li>
 <li>
 Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
 </li>
 <li>
 Attention to detail and a strong commitment to delivering high-quality work within established timelines.
 </li>
 <li>
 Join our dynamic team and contribute to building scalable data infrastructure that powers data analytics and decision-making processes. Apply your expertise in data engineering to help us unlock the full potential of our data assets and drive meaningful insights for our organization.
 </li>
 </ul>
</div>

Senior Data Warehouse Engineer I

ibex. Pakistan

<div>
 
 
 Role Overview
 
 
 
 We are seeking an experienced
 
 Manager &ndash; Data Engineering
 
 to lead the design, automation, governance, and optimization of enterprise data pipelines and modern data warehouse solutions. The ideal candidate will have strong expertise in ETL modernization, Snowflake environments, data quality controls, vendor integrations, and stakeholder collaboration to support executive reporting and business intelligence.
 
 
 This role requires both
 
 hands-on technical capability
 
 and
 
 team leadership
 
 , ensuring scalable, reliable, and governed data ecosystems.
 
 
 
 Key Responsibilities
 
 
 
 
 1. Data Architecture &amp; ETL Modernization
 
 
 <ul>
 <li>
 Lead the transition from manual or legacy data processes to automated, scalable ETL frameworks.
 </li>
 <li>
 Design, build, and maintain robust ingestion pipelines using tools such as Informatica.
 </li>
 <li>
 Migrate and centralize transformation workflows to improve processing efficiency, scalability, and maintainability.
 </li>
 <li>
 Architect structured staging and transformation layers within Snowflake data warehouses.
 </li>
 </ul>
 
 
 2. Data Ingestion &amp; Integration
 
 
 <ul>
 <li>
 Manage end-to-end ingestion of financial and operational datasets from internal systems and vendor-hosted SFTP environments.
 </li>
 <li>
 Develop automated ingestion frameworks with post-load validation and structured data quality checks.
 </li>
 <li>
 Ensure reliable, secure, and governed data integration across multiple sources.
 </li>
 </ul>
 
 
 3. Data Quality, Governance &amp; Monitoring
 
 
 <ul>
 <li>
 Implement data validation frameworks, KPI monitoring, and anomaly detection mechanisms.
 </li>
 <li>
 Reduce vendor-related data incidents through proactive monitoring and root cause analysis.
 </li>
 <li>
 Establish best practices for data governance, documentation, and compliance.
 </li>
 <li>
 Maintain data integrity before downstream reporting and dashboard consumption.
 </li>
 </ul>
 
 
 4. Business Intelligence &amp; Stakeholder Collaboration
 
 
 <ul>
 <li>
 Partner with business stakeholders to ensure accurate executive reporting and evolving KPI alignment.
 </li>
 <li>
 Support and enhance Tableau dashboards by refining calculations, updating data models, and maintaining reporting logic.
 </li>
 <li>
 Act as the primary liaison between business users, vendors, and technical teams to resolve discrepancies and production issues.
 </li>
 </ul>
 
 
 5. Leadership &amp; Team Development
 
 
 <ul>
 <li>
 Mentor and guide data engineers on ETL best practices, automation, and data quality standards.
 </li>
 <li>
 Drive continuous improvement initiatives across data engineering processes.
 </li>
 <li>
 Promote scalable design patterns and performance optimization strategies.
 </li>
 </ul>
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 5+ years of experience in Data Engineering or related roles.
 </li>
 <li>
 Proven experience with:
 </li>
 <li>
 
 Snowflake
 
 data warehouse environments
 </li>
 <li>
 
 Informatica
 
 (or similar ETL tools)
 </li>
 <li>
 SQL (advanced querying &amp; performance optimization)
 </li>
 <li>
 Data modelling &amp; data warehousing concepts
 </li>
 <li>
 SFTP-based data integrations
 </li>
 <li>
 Experience migrating legacy transformation tools (e.g., Alteryx) to centralized ETL platforms.
 </li>
 <li>
 Strong understanding of data governance, validation frameworks, and quality controls.
 </li>
 <li>
 Experience supporting BI tools such as Tableau.
 </li>
 <li>
 Proficiency in Python for data processing and automation.
 </li>
 <li>
 Experience working with ERP and CRM data sources is preferred.
 </li>
 <li>
 Exposure to Databricks or modern data lake architectures is a plus.
 </li>
 </ul>
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Science, or related field (Master&rsquo;s preferred).
 </li>
 </ul>
 
 
</div>

HOBM Technologies Pvt. Ltd

Job DescriptionWe are looking for a highly skilled Oracle Database Administrator (DBA) to manage, support, and optimize Oracle database environments. The role includes database administration, high availability, disaster recovery, Oracle APEX support, and bulk data migration activities.Key Responsibilities<ul><li>Install, configure, upgrade, and maintain Oracle databases.</li><li>Administer and support Oracle RAC environments.</li><li>Design, implement, and manage Disaster Recovery (DR) using Oracle Data Guard.</li><li>Perform database monitoring, performance tuning, and troubleshooting.</li><li>Manage backup and recovery strategies using RMAN.</li><li>Administer and support Oracle APEX environments.</li><li>Configure Oracle APEX / Oracle Database integration with Email Servers (SMTP).</li><li>Perform bulk data migration from CSV files to Oracle databases</li><li>Validate, cleanse, and reconcile migrated data to ensure accuracy and integrity.</li><li>Support database environments on Linux (Red Hat) and Windows Server.</li><li>Ensure database security, access control, and compliance with best practices.</li><li>Prepare and maintain technical documentation.</li></ul>Required Expertise &amp; Skills<ul><li>Proven experience as an Oracle DBA.</li><li>Strong hands-on expertise in:</li><li>Oracle Database (11g / 12c / 19c or later)</li><li>Oracle RAC</li><li>Oracle Data Guard (DR)</li><li>Oracle APEX administration</li><li>Bulk data loading and migration from CSV to Oracle</li><li>Practical experience with:</li><li>Linux (Red Hat) and Windows Server</li><li>Shell scripting for automation</li><li>Excellent troubleshooting, analytical, and problem-solving skills.</li><li>Ability to work independently and collaboratively in a team environment.</li></ul>Preferred Qualifications<ul><li>Oracle Certifications OCP are a plus.</li><li>Experience with high-volume data migration projects.</li><li>Familiarity with production and mission-critical systems.</li></ul>What We Offer<ul><li>Market-competitive salary</li><li>Professional growth and certification support</li><li>Stable and professional work environment</li></ul>How to ApplyInterested candidates may apply via Indeed or send their updated CV to: hr@hobm.com.pkJob Type: Full-timeWork Location: In person

Oracle Database Administrator (DBA)

Explore 631+ Data integration etl developer oracle cloud data integration in Karachi this March. Find roles across top companies and apply now to boost your career.

631 data integration etl developer oracle cloud data integration jobs In Karachi

Data Integration / ETL Developer (Oracle Cloud Data Integration)

Data Integration / ETL Developer (Oracle Cloud Data Integration)

Data Engineer

Business Intelligence Developer

Senior Data Warehouse Engineer I

Data Engineer

Oracle Database Administrator (DBA)