devops engineer

data engineer

database engineer

cloud security engineer

data scientist

cloud data engineer

Squarera

We are looking for a motivated Snowflake Developer with 1&ndash;3 years of experience in data engineering and cloud-based data warehousing. The ideal candidate should have strong SQL skills, hands-on experience with Snowflake features, and a solid understanding of modern ETL/ELT processes.You will be responsible for building and optimizing scalable data pipelines, ensuring high data quality, and supporting analytics and reporting requirements across teams.Key Responsibilities:<ul><li>Develop, implement, and maintain data warehouse solutions using the Snowflake Cloud Data Platform.</li><li>Build and optimize ETL/ELT pipelines using tools such as dbt, Airflow, or Azure Data Factory.</li><li>Design and maintain data models, schemas, and transformations for analytics and reporting.</li><li>Implement data performance optimization, partitioning, and clustering strategies in Snowflake.</li><li>Manage data access, roles, and security policies.</li><li>Integrate Snowflake with cloud storage and BI tools like Power BI, Tableau, or Looker.</li><li>Troubleshoot and resolve issues in data ingestion, transformation, and performance.</li></ul>Required Skills &amp; Experience:<ul><li>1&ndash;3 years of experience as a Snowflake Developer or Data Engineer.</li><li>Strong command over SQL and data modeling concepts (star/snowflake schema).</li><li>Practical experience with Snowflake architecture (warehouses, Snowpipes, Streams, Tasks, etc.).</li><li>Familiarity with cloud environments (AWS, Azure, or GCP).</li><li>Experience working with structured and semi-structured data (JSON, Parquet, etc.).</li><li>Basic knowledge of Python for scripting and data manipulation.</li><li>Good understanding of ETL/ELT workflows and best practices.</li></ul>Preferred Qualifications:<ul><li>SnowPro Core Certification (a plus).</li><li>Experience in CI/CD pipelines and version control (Git, Jenkins).</li><li>Exposure to data governance and security compliance processes.</li></ul>Benefits:<ul><li>Market-competitive salary</li><li>Opportunity for international travel</li><li>Medical coverage</li><li>Annual performance-based bonus</li><li>Collaborative and innovative work environment</li></ul>Job Type: Full-timeWork Location: In person

Snowflake Developer

Mashreq

<div>
 
 Job Purpose
 
 
 
 
 
 
 Data &amp; Analytics Driven Organization:
 
 One Data and Finance Reporting Function drive the vision to transform the Bank into a Data Driven Organization (DDO) using latest tools and technologies in Data space. RBG Data team is a stream within One Data Organization driving this agenda for Retail Banking function.
 
 <ul>
 <li>
 Principal Data Engineer/Lead Data Engineer will design and maintain data pipelines of real-time and batch, creates data strategy, data architecture, best practices and who can lead the organization in making strategical improvements in the data engineering solutions.
 </li>
 <li>
 This role requires to have a knowledge of core system, retail banking systems, digital journeys, marketing systems, risk and compliance systems which are very data intensive systems across UAE, Egypt, Pakistan etc where bank operates retail business.
 </li>
 <li>
 Our core function spans multiple platforms like Enterprise Data Lake, Azure Data Lake, Business Intelligence, Advanced Analytics and Realtime Streaming platforms.
 </li>
 <li>
 The work involves developing new requirements in both on-premises and cloud data lake&rsquo;s estimating the efforts, designing an effective solution, data architecture and management, change release management, resource management, handling the deliverables across the business groups in the Bank. Also, handling critical applications that influence bank&rsquo;s management decision making process, regulatory reporting (which can influence financial/non-financial penalties) and operational reporting.
 </li>
 </ul>
 
 
 
 
 Key result Areas
 
 
 
 
 <ul>
 <li>
 Develops and maintains scalable data pipelines of batch and real-time to support continuing increases in data demands of volume and complexity.
 </li>
 <li>
 Leading data engineering team and ensuring best practices and quality on the deliveries.
 </li>
 <li>
 Designs and Develops Data domains across banking products and laying foundation for Data Mesh architecture.
 </li>
 <li>
 Demonstrate deep knowledge and experience in databases, Datamart's, Data Modelling, Data Governance, Data Security, BI tools, ETL Solutions.
 </li>
 <li>
 Data Orchestration and Data-Ops practices enabler for the team
 </li>
 <li>
 Collaborates with analyst, data scientists and business teams to improve data models that feed business intelligence tools, increasing data accessibility, and fostering data-driven decision making across the organization.
 </li>
 <li>
 Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
 </li>
 <li>
 Writes unit/integration tests, contributes to engineering wiki, and documents work.
 </li>
 <li>
 Experience in Automating Deployment, scheduling, monitoring, and management of datasets and pipelines
 </li>
 <li>
 Understand business requirements and identify key performance indicators (KPIs) in Data Engineering.
 </li>
 <li>
 Design data models to transform raw data into meaningful insights.
 </li>
 <li>
 Ability to Debug Data issues in data platforms and Provide L2, L3 Production support as per SLA.
 </li>
 <li>
 Recommend improvements to enhance existing ETL and data integration processes to enable performance and overall scalability.
 </li>
 <li>
 Evaluate company's present data infrastructure/governance/architecture, identify gaps, and develop plans to integrate the current systems with the desired future model.
 </li>
 <li>
 Identify, analyze various risks, and implement risk management controls, RCSA and contingency plans on Data Platform to mitigate future risk.
 </li>
 <li>
 Reviewing, executing, and documenting Audit activities and its corrective actions on Data Platform.
 </li>
 <li>
 Ensuring Data Platform security and compliance with data privacy regulations and company policies. Implementing access controls, data masking, and encryption where necessary to safeguard sensitive information.
 </li>
 <li>
 Understands industry trends and the practical application of existing, new, and emerging technologies.
 </li>
 <li>
 Forecasting future data storage and processing requirements and planning for scalability. Identifying potential bottlenecks and devising strategies to accommodate growing data volumes.
 </li>
 <li>
 Developing and maintaining disaster recovery plans and business continuity strategies to address potential risks and minimize downtime.
 </li>
 <li>
 Communicate and effectively articulate the DWH/DL solution/roadmaps to business and technical delivery teams.
 </li>
 <li>
 Coordinate with change management approval board to get all desired approvals and ensure production deployments on timely manner.
 </li>
 <li>
 Collaborate with Incident management team to track and report on incidents, their resolutions, and any necessary follow-up actions.
 </li>
 </ul>
 
 Interacting with Data Platform software and hardware vendors to coordinate support, updates, and service-level agreements.
 
 
 
 
 
 Knowledge, Skills and Experience
 
 
 
 
 
 
 Core Skills:
 
 
 <ul>
 <li>
 Principal Data engineer with a solid technical background and experience in data-intensive systems (&gt; 15 years)
 </li>
 <li>
 Strong experience in Big Data, Hadoop Ecosystem, Spark Streaming, Kafka, Python, SQL, Hive, NIFI, Airflow
 </li>
 <li>
 Proficient with Azure Cloud services such as Azure Data Factory (ADF), Databricks, ADLS, Azure Synapse, Logic Apps, Azure Functions. Or similar data stack knowledge within Google/AWS cloud services
 </li>
 <li>
 Proficiency in relational SQL, Graph and NoSQL databases.
 </li>
 <li>
 Proficiency in Elastic Search and Couchbase databases
 </li>
 <li>
 In-depth skills in developing and maintaining ETL/ELT data pipelines.
 </li>
 <li>
 Experience in data modelling techniques such as Kimball star schema, 3NF, vault modelling etc.
 </li>
 <li>
 Experience in workflow management tools such as Airflow, Oozie and CI/CD tools
 </li>
 <li>
 Data streaming solution in Kafka or Confluent Kafka
 </li>
 <li>
 Hands on experience in Google Big Query, Google Analytics &amp; Clickstream Data Model
 </li>
 <li>
 Reporting knowledge in Power BI, Tableau, Qlik etc.
 </li>
 <li>
 Sound in Data Management Fundamentals and Data Architect, Modelling, Governance
 </li>
 <li>
 Strong Domain Knowledge in Banking/Finance area like understanding of the various processes, products, and services within the banking industry, core functions, regulations, and operational aspects of banking institutions
 </li>
 <li>
 Hands on knowledge in Hadoop and Azure/AWS cloud ecosystem and ETL jobs migration
 </li>
 <li>
 Knowledge of Advance Analytics and AI tools
 </li>
 </ul>
 
 
 
 
 
 Management Skills:
 
 
 <ul>
 <li>
 People management responsibilities encompass the tasks and activities involved in leading, guiding, and developing a team of individuals to achieve organizational goals effectively.
 </li>
 <li>
 Setting clear performance expectations, conducting regular performance reviews, providing feedback, and offering guidance on areas of improvement.
 </li>
 <li>
 Follow predefined processes and workflows to carry out specific tasks and activities accurately and in a timely manner.
 </li>
 <li>
 Identify opportunities for process improvement and efficiency enhancement and provide feedback or suggestions to optimize workflows.
 </li>
 <li>
 Analyze the needs, expectations, and concerns of each stakeholder. Assess their level of influence, interest, and potential power to affect the project's success.
 </li>
 <li>
 Developing a comprehensive project plan that outlines the project scope, objectives, deliverables, timelines, resource requirements, and budget.
 </li>
 </ul>
 
 
 
 
 
 Additional Skills Desired:
 
 
 <ul>
 <li>
 Bachelors/Master&rsquo;s degree in computer science or equivalent
 </li>
 <li>
 Excellent verbal and written communication skills and good stake holder management skills
 </li>
 <li>
 Strong Analytical thinking and ability to handle stakeholders.
 </li>
 <li>
 Confident in decision making and the ability to explain processes or choices as needed.
 </li>
 <li>
 Ability to multitask on multiple projects in various phases.
 </li>
 <li>
 Agile and waterfall Project Methodology Knowledge
 </li>
 <li>
 Program Management &amp; Deliverable
 </li>
 </ul>
 
 
</div>

AVP - Technology - Data Engineer (Mashreq Global Network Pakistan)

digital.enterprises

<div>
 
 Data Engineer - Build the Data Backbone of ADAPT
 
 
 
 
 About Digital.enterprises
 
 
 
 digital.enterprises is shaping the future of the energy sector.
 
 
 We help companies run smarter integrating people, data, and technology to create intelligent, adaptive, and human-centred operations.
 
 
 Based in Doha, the gas capital of the world, we bring deep industry expertise together with cutting-edge digital thinking to transform how energy companies work, connect, and grow.
 
 
 If youre driven by impact, speed, and purpose not titles or bureaucracy youll fit right in.
 
 
 
 About ADAPT
 
 
 
 ADAPT is our flagship digital platform a real-time digital mesh connecting the energy sectors Maintenance, Repair &amp; Operations (MRO) ecosystem.
 
 
 It replaces slow, fragmented processes with real-time intelligence and automation, connecting operators, contractors, and suppliers through live data, adaptive analytics, and secure, human-in-the-loop governance.
 
 
 Built on Microsoft cloud and AI, ADAPT delivers visibility, intelligence, and agility at industrial scale redefining how energy companies collaborate and compete.
 
 
 
 About The Role
 
 
 
 We are hiring a Data Engineer to design and build secure, scalable data infrastructure for the energy sector. This role focuses on developing robust, high-performance data solutions that enable seamless connectivity across the supply chain from urgent maintenance events to complex planned turnarounds.
 
 
 You will help create the real-time data foundation that powers ADAPT, providing instant visibility and insights that drive smarter, faster, and safer decisions in mission-critical environments.
 
 
 The ideal candidate will have at least five years professional experience and demonstrate excellence in building well-documented, secure, and reliable data solutions that underpin digital transformation at scale.
 
 
 
 Key Responsibilities
 
 
 
 Data Pipeline Development &amp; Optimisation
 
 
 <ul>
 <li>
 Design and implement highly optimised pipelines for processing large-scale supply-chain data supplier performance, inventory, procurement transactions, and real-time equipment status.
 </li>
 <li>
 Develop maintainable ETL/ELT processes supporting both planned and emergency operations, with emphasis on code reusability and long-term stability for 24/7 uptime.
 </li>
 <li>
 Optimise performance to ensure sub-second response for live dashboards and supplier availability.
 </li>
 <li>
 Build automated data-quality frameworks to validate supplier qualifications, inventory accuracy, and compliance data essential to safety and reliability.
 </li>
 <li>
 Support real-time analytics through streaming data pipelines powering live operational intelligence.
 
 
 
 </li>
 </ul>
 Security &amp; Compliance
 
 
 <ul>
 <li>
 Implement strong data-security controls encryption, access management, and masking.
 </li>
 <li>
 Design and enforce data-governance policies aligned with international standards (GDPR, HIPAA, etc.).
 </li>
 <li>
 Conduct regular security audits and vulnerability assessments of data systems.
 </li>
 <li>
 Apply row- and column-level security to protect sensitive data where required.
 
 
 
 </li>
 </ul>
 
 
 
 Azure Cloud Infrastructure
 
 
 
 
 
 <ul>
 <li>
 Architect and maintain data solutions using Azure Data Factory, Databricks, Synapse Analytics, and Data Lake Storage.
 </li>
 <li>
 Integrate Azure Key Vault, Active Directory, and managed identities for secure operations.
 </li>
 <li>
 Optimise Azure resources for cost efficiency and performance.
 </li>
 <li>
 Design and implement backup and disaster-recovery strategies.
 </li>
 <li>
 Leverage Azure Monitor and Application Insights for proactive monitoring and alerting.
 
 
 
 </li>
 </ul>
 
 
 
 Maintainability &amp; Documentation
 
 
 
 
 
 <ul>
 <li>
 Create comprehensive technical documentation for pipelines, architectures, and processes.
 </li>
 <li>
 Maintain detailed runbooks and operational procedures.
 </li>
 <li>
 Implement version control and CI/CD pipelines for data workflows.
 </li>
 <li>
 Document data lineage, transformation logic, and metadata repositories.
 
 
 
 </li>
 </ul>
 
 Communication &amp; Collaboration
 
 
 
 <ul>
 <li>
 Communicate technical concepts clearly to both technical and business stakeholders.
 </li>
 <li>
 Collaborate with developers, analysts, and business teams to translate requirements into data solutions.
 </li>
 <li>
 Provide regular status updates and progress reports to management.
 
 
 
 </li>
 </ul>
 
 System Maintenance &amp; Optimisation
 
 
 
 <ul>
 <li>
 Monitor system health proactively and implement preventive maintenance.
 </li>
 <li>
 Design with maintainability at the core for fast troubleshooting and iteration.
 </li>
 <li>
 Implement automated testing for pipelines.
 </li>
 <li>
 Define and uphold SLAs for data availability and quality.
 </li>
 <li>
 Optimise storage and retention for cost-effectiveness.
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Education &amp; Experience
 
 
 
 <ul>
 <li>
 Bachelors degree in Computer Science, Engineering, or Information Systems.
 </li>
 <li>
 Minimum 5 years professional experience in data engineering or related fields.
 </li>
 <li>
 Proven success designing and implementing enterprise-scale data solutions.
 
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 <ul>
 <li>
 Hands-on expertise with Azure data services Data Factory, Databricks, Synapse Analytics, Data Lake.
 </li>
 <li>
 Proficiency in Python, SQL, Scala, or C#.
 </li>
 <li>
 Experience implementing data-security and access-control mechanisms.
 </li>
 <li>
 Strong knowledge of database-performance optimisation.
 </li>
 <li>
 Proficiency in data-quality and governance frameworks.
 </li>
 <li>
 Understanding of batch and real-time processing architectures.
 
 
 
 </li>
 </ul>
 
 Core Competencies
 
 
 
 <ul>
 <li>
 Documentation excellence: produces clear, thorough, and maintainable documentation.
 </li>
 <li>
 Communication: clear, confident, and adaptable to diverse audiences.
 </li>
 <li>
 Security mindset: embeds data protection into every design decision.
 </li>
 <li>
 Optimisation focus: constantly seeks performance and cost improvements.
 </li>
 <li>
 Maintainability approach: builds systems designed for the long term.
 </li>
 <li>
 Willingness to travel for client implementations and support.
 
 
 
 </li>
 </ul>
 Why Join Us
 
 
 At digital.enterprises, youll help build the data engine that transforms how energy ecosystems operate.
 
 
 Your work will empower people across plants, control rooms, and offices to make decisions in real time supported by data that is secure, trustworthy, and always available.
 
 
 This is your opportunity to contribute to Industry 5.0 in action technology amplifying human capability to deliver safer, cleaner, and more reliable energy for everyone.
</div>

Data Engineer

Horizon Tech

We are looking for a skilled Data Engineer to design, build, and optimise our modern data platform on the cloud. You'll be responsible for architecting scalable, secure, and automated data pipelines and enabling data-driven applications and AI/ML solutions across the organisation.This is an exciting opportunity to shape the data foundation of a growing business, leveraging a modern AWS and engineering ecosystem.Must Haves:<ul><li>3-5 years of experience in data engineering or a similar role working with large-scale, distributed data systems.</li><li>Strong proficiency in Python, SQL, and data modelling for analytical and transactional systems.</li><li>Deep understanding of modern AWS data and analytics services (e.g., S3, Glue, Lambda, Redshift, or equivalents).</li><li>Experience with Apache Spark / PySpark for batch and stream processing.</li><li>Solid knowledge of data governance, security, and compliance frameworks.</li><li>Familiarity with Infrastructure as Code (Terraform, CloudFormation) and CI/CD practices.</li><li>Understanding of AI/ML data workflows, including feature engineering and data preparation for LLMs or predictive models.</li><li>Strong problem-solving, collaboration, and communication skills.</li></ul>Preferred (Nice to Have)<ul><li>Knowledge of containerization (Docker, ECS, EKS) or serverless data architectures.</li><li>Understanding of AI/ML and NLP technologies, including integration of LLMs, automation frameworks, and RPA tools for intelligent data workflows.</li><li>Awareness of MLOps pipelines, model monitoring, and feature store management.</li></ul>Responsibilities:<ul><li>Design, build, and maintain large-scale, distributed, and event-driven data pipelines using modern AWS Data Engineering services (e.g., Glue, Lambda, Step Functions, etc.).</li><li>Develop ETL/ELT workflows integrating structured and unstructured data into Snowflake, Redshift, and S3-based data lakes.</li><li>Architect and optimise data ingestion, transformation, and storage layers for structured and unstructured data in a data lake or warehouse environment.</li><li>Implement and enforce data security, governance, and access controlincluding encryption, IAM, auditing, and compliance with best practices.</li><li>Develop and maintain metadata management, data lineage, and cataloguing frameworks to ensure traceability and consistency across datasets.</li><li>Automate infrastructure provisioning using Infrastructure-as-Code (IaC) tools such as Terraform or AWS CloudFormation.</li><li>Collaborate with analytics and AI/ML teams to deliver clean, high-quality, and feature-ready data for training and inference pipelines.</li><li>Integrate observability and monitoring into data workflows to ensure reliability, performance, and cost efficiency.</li><li>Contribute to CI/CD pipelines and Git-based version control for data workflows and infrastructure changes.</li><li>Mentor junior engineers and champion engineering best practices for data quality, reliability, and scalability.</li></ul>Other Details<ul><li>Work Days: Monday-Friday (3 pm - 12 am)</li><li>Office location: Off to Shahrah-e-Faisal, PECHS, Karachi</li></ul>Job Type: Full-timePay: Rs150,000.00 - Rs250,000.00 per monthApplication Question(s):<ul><li>What is your expected salary?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>data engineering with large-scale data systems: 3 years (Required)</li><li>Python, SQL and modern AWS data and analytics services: 3 years (Required)</li><li>ETL/ELT workflows : 3 years (Required)</li></ul>Location:<ul><li>Karachi (Required)</li></ul>Work Location: In person

Confiz

<div>We are seeking a Data Engineer with 3+ years of hands-on experience and a strong background in real-time and batch data processing, containerization, and cloud-based data orchestration. This role is ideal for someone passionate about building robust, scalable, and efficient data pipelines, and who thrives in agile, collaborative environments.
Responsibilities
<ul><li>Design, build, and maintain real-time data pipelines using streaming frameworks such as Kafka, Apache Flink, and Spark Structured Streaming.</li>
<li>Develop batch processing workflows with Apache Spark (PySpark)</li>
<li>Orchestrate and schedule data workflows using orchestration frameworks such as Apache Airflow and Azure Data Factory</li>
<li>Containerize applications using Docker, manage deployments with Helm, and run them on Kubernetes</li>
<li>Implement modern storage solutions using open formats such as Parquet, Delta Lake, and Apache Iceberg</li>
<li>Build high-performance analytics engines using tools like Trino or Presto</li>
<li>Collaborate with DevOps to manage infrastructure with Terraform and integrate with CI/CD pipelines via Azure DevOps</li>
<li>Ensure data quality and consistency using tools like Great Expectations</li>
<li>Write modular, well-tested, and maintainable Python and SQL code</li>
<li>Develop an observability layer to monitor and optimize performance across data pipelines</li>
<li>Participate in agile ceremonies and contribute to sprint planning and reviews</li>
</ul>
Required Skills
<ul><li>Advanced Python programming with a strong focus on modular and testable code</li>
<li>Strong knowledge of SQL and experience working with large-scale datasets</li>
<li>Hands-on experience with at least one major cloud platform (Azure preferred)</li>
<li>Solid experience with real-time data processing (Kafka, Flink, or Spark Streaming)</li>
<li>Expertise in Apache Spark (PySpark) for batch processing</li>
<li>Experience implementing lakehouse architectures and working with columnar storage (e.g., ClickHouse)</li>
<li>Proficient in using Azure Data Factory or Apache Airflow for data orchestration</li>
<li>Experience in building APIs to expose large datasets</li>
<li>Solid experience with Docker, Kubernetes, and Helm</li>
<li>Familiarity with data lake open formats such as Parquet, Delta Lake, and Iceberg</li>
<li>Basic experience with Terraform for infrastructure provisioning</li>
<li>Practical experience with data quality frameworks (e.g., Great Expectations)</li>
<li>Comfortable working in agile development teams</li>
<li>Proven ability in debugging and performance tuning of streaming and batch data jobs</li>
<li>Experience with AI-driven tools (e.g., text-to-SQL) is a plus</li>
<li>Bachelor&rsquo;s degree in computer science or related discipline</li>
</ul>
We have an amazing team of 700+ individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.
What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM), ISO 14001:2015 (EMS), ISO 45001:2018 (OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.
People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.
To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/</div>

Senior/Principal Data Engineer

Systems Limited

<div>We are seeking a Senior Data Engineer with strong expertise in Informatica and SQL to design, develop, and optimize data pipelines and ETL workflows. The ideal candidate will have hands-on experience in data integration, data warehousing, and performance tuning across enterprise environments.
<h3 class="jobSectionHeader">
Responsibilities:</h3>
<ul>
<li>Design, build, and maintain ETL workflows using Informatica PowerCenter (or Informatica Cloud).
</li>
<li>Develop and optimize SQL queries, stored procedures, and views for data extraction and transformation.
</li>
<li>Work closely with data modelers, analysts, and business teams to understand data requirements.
</li>
<li>Ensure data quality, integrity, and consistency across multiple systems.
</li>
<li>Perform root cause analysis on data and ETL issues, ensuring timely resolution.
</li>
<li>Support data warehouse development and manage data integration across different sources.
</li>
<li>Monitor and enhance ETL performance, implementing best practices for scalability and reliability.
</li>
<li>Collaborate with infrastructure and DevOps teams for deployment and job scheduling (e.g., Autosys, Control-M).
</li>
</ul><h3 class="jobSectionHeader">Requirements</h3>
<ul>
<li>8&ndash;10 years of experience in Data Engineering or related roles.
</li>
<li>Strong hands-on experience with Informatica PowerCenter / IICS.
</li>
<li>Advanced proficiency in SQL (Oracle, SQL Server, or similar).
</li>
<li>Solid understanding of data warehousing concepts (Star/Snowflake schema, fact/dimension modeling).
</li>
<li>Experience with performance tuning of ETL processes and database queries.
</li>
<li>Familiarity with data governance, data quality, and metadata management practices.
</li>
<li>Experience working in cloud-based or hybrid data environments (Azure, AWS, or GCP) is a plus.
</li>
<li>Strong problem-solving skills and ability to work in cross-functional teams.</li></ul></div><div></div>

Principal Data Engineer

Cubitrek Private Limited

Job Title: DevOps EngineerJob Type: Full-time Location: Karachi, PakistanPosition Overview:We are seeking an experienced and highly skilled DevOps Engineer to join our growing technology team. In this role, you will be responsible for automating, deploying, and managing scalable cloud infrastructure to ensure seamless software delivery for our US and European clients.The ideal candidate will have deep expertise in cloud platforms, automation, CI/CD, and containerization, along with hands-on experience collaborating with geographically distributed teams.Key Responsibilities:<ul><li>Design, build, and maintain scalable, secure, and resilient cloud infrastructure.</li><li>Automate the deployment, monitoring, and management of infrastructure and services.</li><li>Develop and manage CI/CD pipelines to support continuous integration and delivery.</li><li>Collaborate with development, QA, and operations teams across multiple locations to ensure smooth integration of infrastructure solutions.</li><li>Manage AWS, Azure, or Google Cloud environments supporting SaaS-based applications.</li><li>Monitor system performance, security, and availability to maintain high uptime and reliability.</li><li>Troubleshoot and resolve infrastructure and deployment issues in real-time.</li><li>Implement and enforce infrastructure security standards and best practices.</li><li>Continuously optimize automation workflows to enhance efficiency and scalability.</li></ul>Requirements:<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field.</li><li>5+ years of proven experience as a DevOps Engineer in a cloud-based environment.</li><li>Strong hands-on experience with AWS, Azure, or Google Cloud (AWS preferred).</li><li>Proficiency in scripting languages such as Python, Bash, or similar for automation.</li><li>Expertise</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Expected Salary?</li><li>Current Salary?</li></ul>Experience:<ul><li>DevOps Engineer in a cloud-based environment: 5 years (Required)</li><li>AWS, Azure, or Google Cloud (AWS preferred).: 2 years (Required)</li></ul>License/Certification:<ul><li>AWS Certified DevOps Professional (Required)</li><li>AWS Certified Solutions Architect Professional (Required)</li></ul>Work Location: In person

DevOps Engineer

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1242 cloud data engineer jobs IN Karachi

Snowflake Developer

AVP - Technology - Data Engineer (Mashreq Global Network Pakistan)

Data Engineer

Data Engineer

Senior/Principal Data Engineer

Principal Data Engineer

DevOps Engineer