wordpress developer

business analyst

data engineer

data analyst

data entry

data developer

Convier Solutions

We are looking for a detail-focused and experienced BI Developer to join our team. The ideal candidate should have strong practical experience with Power BI and Tableau, along with advanced SQL skills. In this role, you will be responsible for building, managing, and optimizing business intelligence solutions that enable data-driven decisions across the organization.Key Responsibilities:<ul><li>Develop, design, and maintain dynamic dashboards and reports using Power BI and Tableau</li><li>Create and optimize complex SQL queries for data extraction, transformation, and reporting</li><li>Build and manage ETL processes to ensure reliable and timely data flow</li><li>Work closely with stakeholders to gather requirements and deliver effective BI solutions</li><li>Improve performance and scalability of BI reports and database queries</li><li>Ensure data accuracy, consistency, and integrity across all reporting systems</li><li>Analyze data to identify trends, insights, and business opportunities</li><li>Troubleshoot and resolve data-related and reporting issues efficiently</li><li>Collaborate with data engineers and development teams to improve data pipelines</li><li>Maintain proper documentation for data models, dashboards, and reporting workflows</li></ul>Requirements:<ul><li>Bachelor&rsquo;s degree in Computer Science, IT, or a related discipline</li><li>Proven experience in a BI Developer or similar role</li><li>Strong hands-on experience with Power BI and Tableau</li><li>Advanced SQL expertise (including joins, CTEs, query optimization, etc.)</li><li>Solid understanding of data modeling, ETL processes, and data warehousing</li><li>Experience with databases such as MySQL, PostgreSQL, or SQL Server</li><li>Strong analytical thinking and problem-solving skills</li><li>Ability to clearly communicate insights to both technical and non-technical audiences</li><li>High attention to detail with a focus on data quality</li><li>Ability to work independently as well as in a team environment</li></ul>Nice to Have:<ul><li>Experience with cloud platforms (AWS, Azure, or GCP)</li><li>Knowledge of DAX (Power BI) and Tableau calculations</li><li>Experience working with data pipelines or big data technologies</li><li>Understanding of business areas like finance, sales, or operations analytics</li></ul>Job Type: Full-timeWork Location: In person

Developer BI

H2o Labs

Location: Onsite Shift: Night Shift Job Type: Full-TimeJob Overview:We are looking for a skilled and detail-oriented Data Engineer with 2&ndash;4 years of hands-on experience to join our growing team. The ideal candidate will be responsible for building, optimizing, and maintaining scalable data pipelines and architectures to support data-driven decision-making across the organization.Key Responsibilities:<ul><li>Design, develop, and maintain scalable ETL/ELT pipelines</li><li>Build and manage data warehouses and data lakes</li><li>Ensure data quality, integrity, and reliability across systems</li><li>Optimize and automate data workflows for performance and scalability</li><li>Collaborate with data analysts, scientists, and business stakeholders</li><li>Work with large datasets and ensure efficient data processing</li><li>Monitor and troubleshoot data-related issues</li><li>Implement data security and governance best practices</li><li>Communicate effectively with cross-functional teams and stakeholders</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s degree in Computer Science, IT, or related field</li><li>2&ndash;4 years of experience as a Data Engineer or similar role</li><li>Strong proficiency in SQL and database design</li><li>Hands-on experience with Python (or similar programming language)</li><li>Experience with ETL tools (e.g., Airflow, Talend, Informatica)</li><li>Familiarity with cloud platforms (AWS, GCP, or Azure)</li><li>Experience with big data tools (e.g., Hadoop, Spark)</li><li>Understanding of data warehousing concepts</li><li>Excellent communication and interpersonal skills</li><li>Strong problem-solving and analytical skills</li></ul>Preferred Qualifications:<ul><li>Experience with real-time data processing</li><li>Knowledge of Docker/Kubernetes</li><li>Familiarity with CI/CD pipelines</li><li>Experience working in agile environments</li></ul>Job Type: Full-timePay: Rs100,000.00 - Rs220,000.00 per monthWork Location: In person

Data Engineer

Datamatics Technologies

<div>
 
 Job Title: Data Engineer
 
 
 
 Experience:
 
 3&ndash;5 Years
 
 
 Location:
 
 Remote
 
 
 
 
 Only CV matching with JD will be Shortlisted
 
 
 
 
 Role Purpose
 
 
 We are looking for a skilled
 
 Data Engineer
 
 to design, build, and maintain scalable data pipelines within the Azure ecosystem. You will play a key role in enabling data-driven insights by developing reliable data solutions that support analytics, reporting, and business intelligence initiatives.
 
 
 Key Responsibilities
 
 <ul>
 <li>
 Develop and maintain
 
 ETL/ELT pipelines
 
 using
 
 Azure Data Factory (ADF)
 
 </li>
 <li>
 Work with
 
 Azure Data Lake Storage (ADLS)
 
 for data ingestion, storage, and processing
 </li>
 <li>
 Build and optimize data transformations using
 
 PySpark
 
 and
 
 SQL
 
 </li>
 <li>
 Integrate data from multiple structured and unstructured sources
 </li>
 <li>
 Ensure
 
 data quality, integrity, and consistency
 
 across pipelines
 </li>
 <li>
 Support implementation of
 
 Lakehouse architecture
 
 and
 
 Medallion (Bronze, Silver, Gold) layers
 
 </li>
 <li>
 Collaborate with analysts and BI teams to enable reporting and data models
 </li>
 <li>
 Monitor, troubleshoot, and resolve data pipeline issues
 </li>
 <li>
 Document data processes, workflows, and pipeline logic
 </li>
 </ul>
 
 Required Skills &amp; Experience (3&ndash;5 Years)
 
 <ul>
 <li>
 Hands-on experience with
 
 Azure Data Factory (ADF)
 
 and
 
 ADLS
 
 </li>
 <li>
 Strong programming skills in
 
 PySpark
 
 and
 
 SQL
 
 </li>
 <li>
 Experience in building and maintaining
 
 ETL pipelines
 
 </li>
 <li>
 Working knowledge of
 
 structured and unstructured data processing
 
 </li>
 <li>
 Basic understanding of
 
 Lakehouse architecture
 
 and
 
 Medallion framework
 
 </li>
 <li>
 Familiarity with
 
 Delta Lake concepts
 
 </li>
 <li>
 Strong
 
 problem-solving and debugging
 
 skills
 </li>
 </ul>
 
 Preferred Qualifications
 
 <ul>
 <li>
 Experience with
 
 Azure Databricks
 
 </li>
 <li>
 Understanding of
 
 data modeling and data warehousing concepts
 
 </li>
 <li>
 Exposure to
 
 data governance and data quality frameworks
 
 </li>
 <li>
 Experience working in
 
 Agile/Scrum environments
 
 </li>
 </ul>
 
 Soft Skills
 
 <ul>
 <li>
 Strong communication and stakeholder collaboration skills
 </li>
 <li>
 Analytical mindset with attention to detail
 </li>
 <li>
 Ability to work independently in a
 
 remote setup
 
 </li>
 <li>
 Team player with a proactive approach to problem-solving
 </li>
 </ul>
 
 Career Progression Opportunity
 
 
 This role provides a pathway to grow into a
 
 Senior Data Engineer (5&ndash;10 Years)
 
 position, where responsibilities include:
 
 <ul>
 <li>
 Designing end-to-end data architectures
 </li>
 <li>
 Working extensively with
 
 Microsoft Fabric
 
 and advanced Azure services
 </li>
 <li>
 Leading data engineering initiatives and mentoring team members
 </li>
 <li>
 Optimizing large-scale distributed data systems
 </li>
 </ul>
</div>

AlphaBOLD

<div><h2 class="jobSectionHeader">JOB SUMMARY</h2>

Alphabold is looking for a skilled Data Engineer with 3&ndash;5 years of experience to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate will have strong expertise in data processing, database systems, and cloud platforms, enabling efficient data flow and analytics across the organization.
<h3 class="jobSectionHeader">
Key Responsibilities</h3>
<ul><li>Design, develop, and maintain scalable ETL/ELT data pipelines</li>
<li>Build and optimize data architectures, data lakes, and data warehouses</li>
<li>Ensure data quality, integrity, and reliability across systems</li>
<li>Collaborate with data analysts, data scientists, and business stakeholders to deliver data solutions</li>
<li>Develop and manage batch and real-time data processing systems</li>
<li>Monitor and troubleshoot data pipeline performance and failures</li>
<li>Implement data governance, security, and compliance best practices</li>
<li>Automate workflows and improve data engineering processes</li>
</ul><h3 class="jobSectionHeader">Required Skills &amp; Qualifications</h3>
<ul><li>3&ndash;5 years of experience in data engineering or related roles</li>
<li>Strong proficiency in SQL and Python (or Scala/Java)</li>
<li>Hands-on experience with ETL tools and frameworks (e.g., Apache Airflow, Talend, Informatica)</li>
<li>Experience with big data technologies such as Apache Spark, Hadoop, or Kafka</li>
<li>Solid understanding of data warehousing concepts and modeling (Star/Snowflake schema)</li>
<li>Experience with cloud platforms like AWS, Azure, or Google Cloud</li>
<li>Familiarity with relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB)</li>
<li>Experience with version control systems (e.g., Git)</li>
</ul><h3 class="jobSectionHeader">Preferred Qualifications</h3>
<ul><li>Experience with containerization tools like Docker and orchestration tools like Kubernetes</li>
<li>Knowledge of CI/CD pipelines and DevOps practices</li>
<li>Familiarity with data visualization tools (e.g., Power BI, Tableau)</li>
<li>Understanding of streaming data systems and real-time analytics</li>
</ul><h3 class="jobSectionHeader">Soft Skills</h3>
<ul><li>Strong problem-solving and analytical skills</li>
<li>Good communication and collaboration abilities</li>
<li>Ability to work in a fast-paced, agile environment</li>
<li>Attention to detail and commitment to data accuracy</li>
</ul><h3 class="jobSectionHeader">Education</h3>
<ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, Information Technology, or a related field</li>
</ul><h3 class="jobSectionHeader">Nice to Have</h3>
<ul><li>Certifications in cloud platforms (AWS, Azure, GCP)</li>
<li>Experience working with large-scale distributed systems</li></ul></div>

Hitech Communication

Job Requirements DocumentFull-Stack Developer &mdash; Ops CMSDepartment: Engineering / Data TeamReports To: Engineering LeadEmployment Type: Full-Time OnsiteLocation: Phase 4 DHA1. Role SummaryWe are looking for an experienced full-stack developer to join our engineering team and work on an internal operations platform built on Next.js 15 + Payload CMS 3 + MongoDB, integrated with AWS services (S3, SQS), third-party email providers, and a Chrome extension.The successful candidate will work across the full stack &mdash; maintaining and extending CMS collections, hooks, API routes, and admin UI components &mdash; while contributing to reliability, security, and developer experience.2. Key Responsibilities<ul><li>Design, implement, and ship new features across the CMS and API layer</li><li>Build and maintain custom Next.js API routes and third-party integrations (AWS S3, SQS, Postmark)</li><li>Maintain data sync pipelines and cron jobs that keep operational data consistent</li><li>Work within an OTP-based passwordless authentication system and enforce role-based access control (RBAC) at collection and field levels</li><li>Develop and improve custom admin UI components and server actions</li><li>Write strict TypeScript following established conventions</li><li>Collaborate on the CI/CD pipeline (GitHub Actions) and deployment workflows</li><li>Diagnose and resolve production incidents</li></ul>3. Required Technical SkillsCore StackSkillMinimum Level<ul><li>Next.js (App Router, server actions, API routes) = Proficient &mdash; 2+ years</li><li>React 18/19 = Proficient</li><li>TypeScript (strict mode, generics, enums) = Proficient &mdash; 2+ years</li><li>MongoDB (aggregation pipelines, indexing, Mongoose) = Solid working knowledge</li><li>Node.js (&ge;18) = Proficient</li><li>REST API design = Proficient</li></ul>CMS &amp; FrameworkSkillNotes<ul><li>Payload CMS 3.x = Strongly preferred; willingness to learn required</li><li>Payload collections, hooks, access control = Direct experience preferred</li></ul>Cloud &amp; InfrastructureSkillNotes<ul><li>AWS S3 (upload, presigned URLs, IAM) = Required</li><li>AWS SQS (message send, batch processing) = Required</li><li>Docker (multi-stage builds, alpine images) = Required</li><li>GitHub Actions (CI/CD pipelines) = Required</li></ul>Security<ul><li>OTP / passwordless authentication flows</li><li>Timing-safe comparisons, secret hashing (scrypt)</li><li>RBAC at API and field level</li><li>CSRF protections and origin allowlisting</li></ul>4. Preferred / Nice-to-Have Skills<ul><li>Experience with Payload CMS patches (patch-package)</li><li>Familiarity with Chrome extension communication patterns</li><li>Postmark or similar transactional email integration</li><li>sharp image processing in Node.js</li></ul>Application Question(s):<ul><li>1- Can you come to Dha phase 4 from Monday to Friday ?</li></ul>2- What are your salary expectations for this post ? 3- What is your notice period we need to fill this position urgently ?Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Full-Stack Developer &mdash; Ops CMS: 5 years (Required)</li></ul>Location:<ul><li>Lahore (Required)</li></ul>Work Location: In person

Full-Stack Developer — Ops CMS

ibex

<div>
 We are seeking a highly motivated and responsible
 
 Data Engineer
 
 to join our dynamic team. This role requires hands-on experience in building scalable data pipelines, managing structured and unstructured databases, and supporting end-to-end data operations. The ideal candidate will bring strong problem-solving skills, a collaborative mindset, and a commitment to data excellence.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and manage reliable and scalable data pipelines.
 </li>
 <li>
 Clean, validate, and transform data from multiple sources for analytics and operational use.
 </li>
 <li>
 Work with large datasets and ensure high data quality and availability.
 </li>
 <li>
 Develop and maintain ETL workflows using standard tools and scripting.
 </li>
 <li>
 Automate data extraction, transformation, and loading processes across systems.
 </li>
 <li>
 Monitor and optimize performance of data workflows for speed and efficiency.
 </li>
 <li>
 Develop, maintain, and optimize complex SQL queries, stored procedures, functions, and views.
 </li>
 <li>
 Design and implement relational database schemas and indexing strategies.
 </li>
 <li>
 Ensure data integrity, security, and compliance within SQL Server environments.
 </li>
 <li>
 Work with MongoDB for storing and querying unstructured or semi-structured data.
 </li>
 <li>
 Design document-based data models and manage performance tuning for MongoDB.
 </li>
 <li>
 Handle replication and backup strategies where applicable.
 </li>
 <li>
 Analyze complex data requirements and translate them into efficient technical solutions.
 </li>
 <li>
 Identify data-related issues, perform root-cause analysis, and deliver timely resolutions.
 </li>
 <li>
 Work closely with data analysts, software engineers, and business stakeholders to understand requirements.
 </li>
 <li>
 Participate in code reviews, team planning sessions, and cross-functional meetings.
 </li>
 <li>
 Take ownership of assigned tasks with accountability and attention to detail.
 </li>
 <li>
 Exhibit a proactive approach to delivering solutions and supporting team goals.
 </li>
 <li>
 Contribute to architectural discussions and recommend improvements based on industry best practices.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related field.
 </li>
 <li>
 2&ndash;3 years of experience in data engineering or database development roles.
 </li>
 <li>
 Strong proficiency in SQL Server (T-SQL, indexing, optimization).
 </li>
 <li>
 Hands-on experience with MongoDB or other NoSQL technologies.
 </li>
 <li>
 Familiarity with data pipeline tools and ETL development.
 </li>
 <li>
 Working knowledge of Python or similar scripting languages.
 </li>
 <li>
 Understanding of data modeling, normalization, and data warehousing concepts.
 </li>
 <li>
 Strong analytical thinking and problem-solving skills.
 </li>
 <li>
 Excellent communication and teamwork abilities.
 </li>
 </ul>
</div>

Data Engineer, Tech

Datamatics Global Services Ltd

<div><h2 class="jobSectionHeader">Job Title: Big Data Engineer 
Expericence - 5 to 8 Years - CV with relevant skills will be contacted.</h2><h3 class="jobSectionHeader">
Role Purpose</h3>
The Big Data Engineer is responsible for designing, developing, and maintaining scalable data pipelines and distributed data processing systems. This role enables efficient data ingestion, transformation, and analytics across batch and real-time environments, supporting enterprise-wide data initiatives.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Design, develop, and maintain scalable batch and real-time data pipelines to support analytics and business intelligence use cases</li><li>
Build and manage distributed data processing solutions using Apache Hadoop and Apache Spark within Cloudera Data Platform (CDP)</li><li>
Develop and orchestrate ETL workflows using tools such as Apache NiFi</li><li>
Implement and manage real-time streaming pipelines using Apache Kafka</li><li>
Work with distributed storage systems such as Hadoop Distributed File System (HDFS)</li><li>
Utilize query engines like Apache Hive and Apache Impala for data access and analytics</li><li>
Perform data ingestion, transformation, and integration from multiple structured and unstructured enterprise data sources</li><li>
Optimize data pipelines for performance, scalability, and reliability</li><li>
Monitor and troubleshoot data workflows, ensuring high availability and data integrity</li><li>
Collaborate closely with data architects, analysts, and business stakeholders to deliver data solutions aligned with business needs</li><li>
Ensure adherence to data governance, security, and data quality standards</li><li>
Document data processes, architectures, and workflows for operational efficiency</li></ul><h3 class="jobSectionHeader">
Required Skills &amp; Experience</h3><ul><li>
5&ndash;8 years of experience in Big Data Engineering or related roles</li><li>
Strong hands-on experience with:<ul><li>
Apache Hadoop ecosystem</li><li>
Apache Spark (PySpark/Scala preferred)</li><li>
Apache Kafka (streaming)</li><li>
Apache NiFi (data ingestion/ETL)</li></ul></li><li>
Experience with Cloudera Data Platform (CDP) or similar big data platforms</li><li>
Proficiency in SQL and at least one programming language (Python, Scala, or Java)</li><li>
Solid understanding of distributed computing and parallel processing concepts</li><li>
Experience working with HDFS, Hive, and Impala</li><li>
Knowledge of data modeling, ETL design, and data warehousing concepts</li><li>
Familiarity with data governance, security, and compliance frameworks</li><li>
Strong problem-solving and performance tuning skills</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Experience with cloud platforms (AWS, Azure, or GCP) in big data environments</li><li>
Knowledge of containerization (Docker/Kubernetes) is a plus</li><li>
Exposure to CI/CD pipelines for data engineering workflows</li><li>
Understanding of real-time analytics and event-driven architectures</li></ul><h3 class="jobSectionHeader">
Key Competencies</h3><ul><li>
Analytical thinking and problem-solving</li><li>
Strong collaboration and communication skills</li><li>
Ability to work in fast-paced, data-driven environments</li><li>
Attention to detail and commitment to data quality</li></ul><h3 class="jobSectionHeader">
Education</h3><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, Data Engineering, or a related field</li></ul>
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Big Data Engineer

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Developer BI

Data Engineer

Data Engineer

Data Engineer

Full-Stack Developer — Ops CMS

Data Engineer, Tech

Big Data Engineer