data entry operator

ai engineer

data analyst

data entry

data entry officer

data engineer

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

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>

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

10Pearls

<div>Company Overview
10Pearls is an award-winning end-to-end digital innovation company that helps businesses imagine and build the future. We are proud to announce that 10Pearls was named the winner of the Best Tech Work Culture Timmy Award in Washington, D.C. by Tech in Motion, recognized on the Inc. 5000 Fastest-Growing Companies List, and was ranked the #1 Most Diverse Midsize Company in Greater Washington. We partner with businesses to help them transform, scale, and accelerate by adopting digital and exponential technologies. Our work has ranged from creating highly usable, secure digital experiences, mobile and software products, to helping businesses modernize through cloud adoption and development and the digitalization of their business processes. Our clientele is highly diverse, including Global 1000 enterprises, mid-market businesses, and even high-growth start-ups. But those are just facts. What makes us unique is that we have a true heart and soul. We have a strong focus on a double bottom line and actively support and engage with the communities where we live and work to make the world a better place. In a nutshell, we believe in doing well while doing good and know how to balance the two. 
 
Role 
 
We are seeking a skilled Data Engineer with strong expertise in Databricks and Snowflake to design, build, and optimize scalable data pipelines. You will work on high‑performance data processing workflows that support our platform, with a focus on real‑time analytics, large‑scale data transformations, and efficient data modeling. If you have experience with distributed data systems, cloud‑based data platforms, and modern data engineering best practices, we&rsquo;d love to hear from you. 
 
Responsibilities<ul><li>
Build and optimize data pipelines that ingest, validate, and transform core banking data (accounts, transactions, balances, parties, fees) from multiple source systems into our Databricks/Delta Lake lakehouse.</li><li>
Scale and evolve a multi‑tenant architecture, ensuring tenant isolation, efficient partitioning, and consistent schema evolution as we onboard new banks.</li><li>
Own CI/CD for the data platform, including GitHub Actions workflows, SQLMesh plan/apply lifecycle, and Databricks deployment automation.</li><li>
Develop and integrate ML models, including propensity scoring, churn prediction, segmentation, and customer scoring models that feed directly into analytics and decisioning layers.</li><li>
Ensure pipeline reliability through monitoring, alerting, and robust data validation across tenants and environments.</li><li>
Design and maintain 300+ SQL and Python data models across Bronze, Silver, and Gold layers using SQLMesh, with an emphasis on clean abstractions, reusability, and correctness.</li><li>
Own the metrics layer, defining and validating gold‑standard business metrics (revenue, attrition, household analytics, segmentation, balance projections) used by dashboards and APIs.</li><li>
Champion data quality by writing SQLMesh audits, unit tests, and enforcing schema contracts to ensure downstream consumers can trust the data.</li><li>
Collaborate with product and banking domain experts to translate business requirements into well‑modeled, documented, and performant data assets.</li><li>
Drive documentation and discoverability, ensuring data models are self‑describing and easily understood by analysts and product teams.</li></ul><h2 class="jobSectionHeader">
Requirement</h2><ul><li>
8+ years of software engineering experience, with deep expertise in data engineering and strong exposure to analytics engineering or data modeling.</li><li>
Production experience with SQLMesh or dbt, including building, testing, and deploying transformation projects (SQLMesh strongly preferred).</li><li>
Hands‑on experience with Databricks or Snowflake, operating pipelines and warehouses in production environments.</li><li>
Advanced SQL skills, including complex window functions, CTEs, incremental logic, and performance‑optimized aggregations.</li><li>
Proficiency in Python, especially for PySpark transformations, data validation, and pipeline automation.</li><li>
Strong understanding of dimensional modeling, medallion/layered architectures, and data quality best practices.</li><li>
Experience with CI/CD for data, including automated testing, version control, and deployment pipelines.</li></ul><h3 class="jobSectionHeader">
Nice‑to‑Have Qualifications</h3><ul><li>
Experience building or operationalizing ML models (propensity, churn, segmentation) within a data platform.</li><li>
Background in banking, financial services, or fintech data domains.</li><li>
Familiarity with Azure services (ADLS Gen2, Azure SQL, Databricks on Azure).</li><li>
Experience with multi‑tenant SaaS data architectures, including schema isolation and tenant‑aware partitioning.</li><li>
Exposure to data mesh concepts and domain‑oriented data ownership.</li><li>
Familiarity with Databricks Unity Catalog, Auto Loader, or Databricks Workflows.</li><li>
Experience with Linear, GitHub Actions, or similar project management and CI/CD tooling.</li></ul>
SxdPau6ofa</div>

Senior Software Consultant - Databricks / Snowflake - Afternoon

Confiz

<div>We are seeking a Senior Power BI Engineer with strong experience in Microsoft Dynamics 365 Finance &amp; Operations (F&amp;O) to lead the design, development, and optimization of enterprise-grade Business Intelligence solutions.
The ideal candidate will have deep expertise in Power BI, data modeling, and cloud-based BI architecture, with proven experience integrating and reporting on Dynamics 365 F&amp;O data. This role requires a balance of technical leadership, data engineering expertise, and stakeholder engagement to deliver scalable analytics solutions that support strategic decision-making.
Responsibilities:
<ul><li>Design, develop, and maintain scalable Power BI datasets, semantic models, and dashboards aligned with business and reporting requirements.</li>
<li>Build and optimize BI solutions leveraging Microsoft Fabric, Azure Data Platform, and Power BI.</li>
<li>Integrate and model data from Microsoft Dynamics 365 Finance &amp; Operations (F&amp;O) including finance, supply chain, procurement, and operations modules.</li>
<li>Develop robust data models, ETL/ELT pipelines, and data transformation processes to support enterprise reporting.</li>
<li>Optimize Power BI data models, queries, and refresh processes to ensure high performance and scalability.</li>
<li>Troubleshoot and resolve issues related to data connectivity, data refresh failures, gateway configurations, and performance bottlenecks.</li>
<li>Implement data governance, security, and role-level security (RLS) to ensure compliance with enterprise data standards.</li>
<li>Collaborate with business stakeholders, functional teams, and data engineers to translate business requirements into scalable BI solutions.</li>
<li>Work closely with Dynamics F&amp;O functional teams to ensure accurate interpretation of financial and operational data.</li>
<li>Establish and enforce best practices for Power BI development, data modeling, and deployment pipelines.</li>
<li>Document data architecture, BI processes, semantic models, and troubleshooting procedures.</li>
<li>Provide technical guidance and mentorship to junior BI developers and analysts.</li>
<li>Participate in Agile ceremonies, sprint planning, and solution design discussions to ensure timely project delivery.</li>
<li>Communicate project status, risks, and dependencies effectively with both technical and business stakeholders.</li>
</ul>
Requirements:
<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Technology, Software Engineering, or a related field.</li>
<li>6+ years of experience in Business Intelligence and Data Analytics.</li>
<li>4+ years of hands-on experience with Power BI development, including data modeling, DAX, and performance optimization.</li>
<li>Strong experience working with Microsoft Dynamics 365 Finance &amp; Operations (F&amp;O) data models and reporting.</li>
<li>Experience integrating F&amp;O data through Data Lake, BYOD, Dataverse, or Azure-based data pipelines.</li>
<li>Hands-on experience with Microsoft Fabric, Azure Data Factory, Synapse, or similar data platforms.</li>
<li>Strong knowledge of data warehousing concepts, dimensional modeling, and data integration techniques.</li>
<li>Experience working with large-scale enterprise datasets and complex reporting environments.</li>
<li>Expertise in Power BI dataset optimization, incremental refresh, and query performance tuning.</li>
<li>Experience implementing Row-Level Security (RLS) and data governance best practices.</li>
</ul>
Preferred Qualifications:
<ul><li>Experience with Azure Data Lake, Azure Synapse Analytics, or SQL-based data warehousing.</li>
<li>Familiarity with Dynamics F&amp;O entities, financial dimensions, and operational reporting structures.</li>
<li>Experience implementing enterprise BI architectures using Microsoft Fabric or Azure data platform.</li>
<li>Knowledge of CI/CD pipelines for Power BI deployments.</li>
<li>Experience working in Agile or Scrum environments.</li>
<li>Strong analytical and problem-solving abilities.</li>
<li>Ability to translate complex business requirements into scalable BI solutions.</li>
<li>Excellent stakeholder communication and presentation skills.</li>
<li>Ability to work independently while collaborating across cross-functional teams.</li>
<li>Strong focus on data quality, governance, and performance optimization.</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>

Principal Power BI Engineer (Dynamics 365 F&O)

Skylink Distributions (Pvt.) Ltd

The ideal candidate should have 3&ndash;4 years of professional experience in Data Analytics and Data Engineering, along with working experience in ERP systems, with proven hands-on expertise in building data pipelines, performing advanced analytics, integrating ERP data sources, and deploying scalable data solutions aligned with business objectives.Key ResponsibilitiesData Management &amp; Analysis<ul><li>Clean, pre-process, and validate large datasets to ensure accuracy, completeness, and consistency.</li><li>Handle missing values, outliers, and data inconsistencies using appropriate statistical techniques.</li><li>Conduct exploratory data analysis (EDA) using tools such as Python, R, SPSS, or other specialised statistical software.</li><li>Develop predictive and analytical models to solve business problems and improve decision-making.</li><li>Ensure adherence to data privacy regulations and internal governance standards.</li></ul>Data Visualization &amp; Reporting<ul><li>Create clear, impactful visualizations including dashboards, charts, and analytical reports.</li><li>Present findings and strategic insights to stakeholders in a clear and actionable manner.</li><li>Translate complex analytical results into business-friendly recommendations.</li></ul>Leadership &amp; Strategy<ul><li>Lead and mentor a team of data analysts and data scientists, fostering technical growth and professional development.</li><li>Provide guidance on best practices in modeling, feature engineering, and data validation.</li><li>Stay updated with the latest data science trends, tools, frameworks, and methodologies to continuously enhance team capabilities.</li><li>Define data science strategy aligned with organizational goals.</li></ul>Data Engineering &amp; Infrastructure Collaboration<ul><li>Manage and monitor data pipelines, ensuring data integrity, security, and performance.</li><li>Collaborate with data engineers to ensure seamless integration of data solutions within the company&rsquo;s infrastructure.</li><li>Oversee deployment, monitoring, and maintenance of machine learning models in production environments.</li></ul>Cross-Functional Collaboration<ul><li>Work closely with Research Teams, Clients, and Business Units to define project goals, KPIs, and deliverables.</li><li>Act as a bridge between technical teams and business stakeholders to ensure alignment.</li><li>Communicate project progress, risks, and outcomes effectively to leadership.</li></ul>ERP &amp; Business Intelligence Integration<ul><li>Lead integration of ERP systems with data science models and business intelligence platforms.</li><li>Ensure synchronisation between operational systems and analytical frameworks.</li><li>Align ERP-driven data workflows with predictive modeling and reporting tools to support strategic decision-making.</li></ul>Required Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, Information Systems, or related field.</li><li>Strong expertise in Python, R, SQL, and statistical modeling techniques.</li><li>Experience with BI tools (e.g., Power BI, Tableau, or similar platforms).</li><li>Proven experience in managing data pipelines and model deployment.</li><li>Experience integrating ERP systems with analytics and BI tools.</li><li>Strong understanding of data governance, security, and compliance principles.</li></ul>Core Competencies<ul><li>Leadership and team management</li><li>Strategic thinking and business acumen</li><li>Advanced analytical and statistical skills</li></ul>Job Type: Full-timeWork Location: In person

Data Science Analyst

MonetizeMore

<div><h3 class="jobSectionHeader">About MonetizeMore</h3>
MonetizeMore is a leading ad tech company dedicated to empowering publishers with state-of-the-art ad monetization technology and strategies. We are a globally distributed, remote-first team driven by data, innovation, and a passion for helping our partners succeed.<h3 class="jobSectionHeader">
The Role</h3>
We are looking for a highly skilled and communicative Business Intelligence (BI) Analyst to join our growing Data Team. In this role, you will be the bridge between our raw data and our internal business stakeholders. You will own our Metabase environment, ensuring it remains organized, efficient, and accessible. If you have a knack for translating complex business kakatrequirements into actionable dashboards, writing highly optimized SQL, and collaborating with Data Engineering teams to build robust pipelines, we want you on our team!<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Stakeholder Collaboration: Act as the primary point of contact for internal teams (Product, Sales, Marketing, etc.) to gather data requirements, understand their goals, and translate them into technical deliverables.</li><li>
Dashboard Creation &amp; BI Management: Design, build, and maintain intuitive and actionable dashboards. Own the administration of Metabase, ensuring the platform remains structured, performant, and easy for non-technical users to navigate.</li><li>
Advanced SQL Development: Write, optimize, and troubleshoot complex SQL queries to extract valuable insights from our databases.</li><li>
Cross-Functional Teamwork: Collaborate closely with Data Engineers to identify gaps in our data. Clearly define and document requirements for new data pipelines and data models to support your reporting needs.</li><li>
Data Quality &amp; Governance: Proactively identify data discrepancies and work with the broader data team to ensure accuracy, consistency, and reliability across all reporting.</li></ul><h3 class="jobSectionHeader">
What We&rsquo;re Looking For</h3><ul><li>
Experience: 2+ years of experience as a BI Analyst, Data Analyst, or in a similar data-centric role.</li><li>
Technical Skills: * Advanced proficiency in SQL (ability to write complex joins, window functions, and optimize queries).<ul><li>
Hands-on experience administering and building reports in Metabase (experience with similar tools like Tableau, Looker, or PowerBI is a plus, but Metabase is heavily preferred).</li></ul></li><li>
Communication: Exceptional verbal and written communication skills with a proven track record of effectively managing internal stakeholders and gathering technical requirements.</li><li>
Data Intuition: A solid understanding of how data pipelines function and experience working alongside Data Engineers to design data models.</li><li>
Problem-Solving: A proactive mindset with a keen eye for detail and data accuracy.</li></ul><h3 class="jobSectionHeader">
Bonus Points</h3><ul><li>
Experience working in the Ad Tech industry.</li><li>
Familiarity with cloud data warehouses (e.g., AWS Athena, BigQuery).</li><li>
Experience working in a remote, globally distributed team.</li></ul><h3 class="jobSectionHeader">
Why Join Us?</h3><ul><li>
Flexible, remote work environment.</li><li>
Opportunity to take ownership of a critical BI platform.</li><li>
Collaborative and supportive global team culture.</li><li>
Competitive compensation and benefits package.</li></ul>
zaz7pgSCSu</div>

Business Intelligence Analyst

Explore 558+ Data engineer in Karachi this March. Find roles across top companies and apply now to boost your career.

558 data engineer jobs In Karachi

Data Engineer

Data Engineer

Senior Data Warehouse Engineer I

Senior Software Consultant - Databricks / Snowflake - Afternoon

Principal Power BI Engineer (Dynamics 365 F&O)

Data Science Analyst

Business Intelligence Analyst