it support engineer

ai engineer

big data engineer

cms developer

data analyst

etl developer

Datamatics Global Services Ltd

<div><h2 class="jobSectionHeader"><b>Job Title: Big Data Engineer</b><br>
<b>Expericence - 5 to 8 Years - </b><b>CV with relevant skills will be contacted.</b></h2><h3 class="jobSectionHeader"><b>
Role Purpose</b></h3><p>
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.</p><p></p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul><li>
Design, develop, and maintain scalable <b>batch and real-time data pipelines</b> to support analytics and business intelligence use cases</li><li>
Build and manage distributed data processing solutions using <b>Apache Hadoop</b> and <b>Apache Spark</b> within <b>Cloudera Data Platform (CDP)</b></li><li>
Develop and orchestrate <b>ETL workflows</b> using tools such as <b>Apache NiFi</b></li><li>
Implement and manage <b>real-time streaming pipelines</b> using <b>Apache Kafka</b></li><li>
Work with distributed storage systems such as <b>Hadoop Distributed File System (HDFS)</b></li><li>
Utilize query engines like <b>Apache Hive</b> and <b>Apache Impala</b> for data access and analytics</li><li>
Perform <b>data ingestion, transformation, and integration</b> from multiple structured and unstructured enterprise data sources</li><li>
Optimize data pipelines for <b>performance, scalability, and reliability</b></li><li>
Monitor and troubleshoot data workflows, ensuring high availability and data integrity</li><li>
Collaborate closely with <b>data architects, analysts, and business stakeholders</b> to deliver data solutions aligned with business needs</li><li>
Ensure adherence to <b>data governance, security, and data quality standards</b></li><li>
Document data processes, architectures, and workflows for operational efficiency</li></ul><p></p><h3 class="jobSectionHeader"><b>
Required Skills &amp; Experience</b></h3><ul><li><b>
5&ndash;8 years</b> 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 <b>Cloudera Data Platform (CDP)</b> or similar big data platforms</li><li>
Proficiency in <b>SQL</b> and at least one programming language (Python, Scala, or Java)</li><li>
Solid understanding of <b>distributed computing and parallel processing concepts</b></li><li>
Experience working with <b>HDFS, Hive, and Impala</b></li><li>
Knowledge of <b>data modeling, ETL design, and data warehousing concepts</b></li><li>
Familiarity with <b>data governance, security, and compliance frameworks</b></li><li>
Strong problem-solving and performance tuning skills</li></ul><p></p><h3 class="jobSectionHeader"><b>
Preferred Qualifications</b></h3><ul><li>
Experience with <b>cloud platforms</b> (AWS, Azure, or GCP) in big data environments</li><li>
Knowledge of <b>containerization (Docker/Kubernetes)</b> is a plus</li><li>
Exposure to <b>CI/CD pipelines</b> for data engineering workflows</li><li>
Understanding of <b>real-time analytics and event-driven architectures</b></li></ul><p></p><h3 class="jobSectionHeader"><b>
Key Competencies</b></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><p></p><h3 class="jobSectionHeader"><b>
Education</b></h3><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in <b>Computer Science, Information Technology, Data Engineering</b>, or a related field</li></ul><p>
</p><p>x05bomsehO</p></div>

Big Data Engineer

Datamatics Technologies

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


<div><h2 class="jobSectionHeader"><b>Job Title: Data Engineer</b></h2><p><b>
Experience:</b> 3&ndash;5 Years<br>
<b>Location:</b> Remote<br>
<br>
<b>Only CV matching with JD will be Shortlisted</b></p><p></p><h3 class="jobSectionHeader"><b>
Role Purpose</b></h3><p>
We are looking for a skilled <b>Data Engineer</b> 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.</p><p></p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul><li>
Develop and maintain <b>ETL/ELT pipelines</b> using <b>Azure Data Factory (ADF)</b></li><li>
Work with <b>Azure Data Lake Storage (ADLS)</b> for data ingestion, storage, and processing</li><li>
Build and optimize data transformations using <b>PySpark</b> and <b>SQL</b></li><li>
Integrate data from multiple structured and unstructured sources</li><li>
Ensure <b>data quality, integrity, and consistency</b> across pipelines</li><li>
Support implementation of <b>Lakehouse architecture</b> and <b>Medallion (Bronze, Silver, Gold) layers</b></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><p></p><h3 class="jobSectionHeader"><b>
Required Skills &amp; Experience (3&ndash;5 Years)</b></h3><ul><li>
Hands-on experience with <b>Azure Data Factory (ADF)</b> and <b>ADLS</b></li><li>
Strong programming skills in <b>PySpark</b> and <b>SQL</b></li><li>
Experience in building and maintaining <b>ETL pipelines</b></li><li>
Working knowledge of <b>structured and unstructured data processing</b></li><li>
Basic understanding of <b>Lakehouse architecture</b> and <b>Medallion framework</b></li><li>
Familiarity with <b>Delta Lake concepts</b></li><li>
Strong <b>problem-solving and debugging</b> skills</li></ul><p></p><h3 class="jobSectionHeader"><b>
Preferred Qualifications</b></h3><ul><li>
Experience with <b>Azure Databricks</b></li><li>
Understanding of <b>data modeling and data warehousing concepts</b></li><li>
Exposure to <b>data governance and data quality frameworks</b></li><li>
Experience working in <b>Agile/Scrum environments</b></li></ul><p></p><h3 class="jobSectionHeader"><b>
Soft Skills</b></h3><ul><li>
Strong communication and stakeholder collaboration skills</li><li>
Analytical mindset with attention to detail</li><li>
Ability to work independently in a <b>remote setup</b></li><li>
Team player with a proactive approach to problem-solving</li></ul><p></p><h3 class="jobSectionHeader"><b>
Career Progression Opportunity</b></h3><p>
This role provides a pathway to grow into a <b>Senior Data Engineer (5&ndash;10 Years)</b> position, where responsibilities include:</p><ul><li>
Designing end-to-end data architectures</li><li>
Working extensively with <b>Microsoft Fabric</b> and advanced Azure services</li><li>
Leading data engineering initiatives and mentoring team members</li><li>
Optimizing large-scale distributed data systems</li></ul><p>
</p><p>OkBtJaBo56</p></div>

Data Engineer

<div><h2 class="jobSectionHeader"><b>Note: Only CV which are as per JD will be contacted.</b><br>
<br>
<b>Job Title: Data Engineer / Senior Data Engineer</b><br>
<b>Location : UAE - Onsite</b><br>
</h2><h3 class="jobSectionHeader"><b>
Role Purpose</b></h3><p>
Design, develop, and maintain scalable data pipelines and modern data platforms using Microsoft Fabric and Azure ecosystem. The role involves building efficient data solutions that support analytics, reporting, and advanced data use cases across the organization.</p><p></p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul><li>
Design, build, and maintain robust ETL/ELT pipelines using <b>Azure Data Factory (ADF)</b> and <b>Microsoft Fabric</b></li><li>
Develop and optimize data workflows using <b>PySpark</b> and <b>SQL</b></li><li>
Implement and manage <b>Lakehouse architecture</b> using <b>Medallion (Bronze, Silver, Gold) layers</b></li><li>
Work with <b>Azure Data Lake Storage (ADLS)</b> and <b>Delta Lake</b> for efficient data storage and processing</li><li>
Integrate data from multiple sources ensuring data quality, consistency, and reliability</li><li>
Collaborate with BI developers and analysts to enable data models and reporting solutions</li><li>
Monitor, troubleshoot, and optimize data pipelines and performance issues</li><li>
Ensure data governance, security, and compliance best practices</li></ul><p></p><h3 class="jobSectionHeader"><b>
Additional Responsibilities (Senior Data Engineer)</b></h3><ul><li>
Lead the design and architecture of scalable data platforms and solutions</li><li>
Define data engineering standards, best practices, and frameworks</li><li>
Mentor junior data engineers and review code for quality and performance</li><li>
Optimize large-scale data processing and improve system efficiency</li><li>
Collaborate with stakeholders to translate business requirements into technical solutions</li><li>
Drive adoption of <b>Microsoft Fabric</b> and modern data engineering practices across teams</li></ul><p></p><h3 class="jobSectionHeader"><b>
Required Skills &amp; Experience</b></h3><h4 class="jobSectionHeader"><b>
For Data Engineer (3&ndash;5 Years)</b></h4><ul><li>
Hands-on experience with <b>Azure Data Factory (ADF)</b> and <b>ADLS</b></li><li>
Strong programming skills in <b>PySpark</b> and <b>SQL</b></li><li>
Experience in building ETL pipelines and working with structured/unstructured data</li><li>
Basic understanding of <b>Lakehouse</b> and <b>Medallion architecture</b></li><li>
Familiarity with <b>Delta Lake</b> concepts</li><li>
Good problem-solving and debugging skills</li></ul><h4 class="jobSectionHeader"><b>
For Senior Data Engineer (5&ndash;10 Years)</b></h4><ul><li>
Extensive experience in <b>Azure data ecosystem</b> and <b>Microsoft Fabric</b></li><li>
Strong expertise in designing <b>end-to-end data architectures</b></li><li>
Deep understanding of <b>Lakehouse, Medallion architecture</b>, and <b>Delta Lake</b></li><li>
Proven experience in handling large-scale distributed data processing</li><li>
Strong performance tuning and optimization skills</li><li>
Experience leading projects and mentoring teams</li></ul><p></p><h3 class="jobSectionHeader"><b>
Preferred Qualifications</b></h3><ul><li>
Experience in <b>Azure Databricks</b></li><li>
Knowledge of data modeling and data warehousing concepts</li><li>
Exposure to data governance and data quality frameworks</li><li>
Experience working in Agile environments</li></ul><p></p><h3 class="jobSectionHeader"><b>
Soft Skills</b></h3><ul><li>
Strong communication and stakeholder management skills</li><li>
Analytical thinking and problem-solving mindset</li><li>
Ability to work independently and in a collaborative team environment</li></ul><p>
</p><p>Pi3WGqPOnG</p></div>

Data Engineer / Senior Data Engineer

Contour Software

<div><p><b>About Contour</b></p><p></p><p>
Contour Software has grown from a dozen people to over 2,000 staff across 3 cities, in less than 14 years.</p><p><br>
As a subsidiary of Constellation Software Inc., we are proud to be part of a global enterprise software conglomerate that has grown to become one of the top 10 software companies in the world, with employees and customers in 100+ countries. With a broad-based and ever-growing portfolio of market-leading, vertical-market enterprise solutions covering more than 100 industry domains in predominantly mature markets, CSI's recipe creates the perfect environment for professionals to build fulfilling, long-term careers.</p><p><br>
What started as an R&amp;D &amp; Accounting back-office, has progressed into a full-service Global Centre serving all functions and departments, at the divisional as well as operating group/corporate level. Today Contour employees, located in Karachi, Lahore &amp; Islamabad, are serving CSI divisions located in time zones spanning the globe, from Sydney to Vancouver. With the global growth of Constellation as the wind in our sails, we are only just getting started!</p><p></p><div><div><p><b>
The Division:</b><br>
Constellation Payments is a leading global gateway and merchant services provider with special expertise in software integration and recurring transactions representing a wide variety of verticals &ndash; including government entities, municipalities, moving and storage, club management, attractions, fitness, martial arts, event registration and hospitality management.</p></div><p></p><div><p><b>
The Position:</b><br>
We are looking for a Data Engineer to join our development team and participate in different projects. We are looking for proactive people, team players passionate about technology and big data. This is an excellent opportunity for those professionals looking to develop in one of the fastest growing areas of software development.</p></div><div><p>
The selected individuals will work out of the Contour Software Lahore/Karachi/Islamabad resource center office, as an extension of the division-based R&amp;D department.</p></div><p></p><div><p><b>
Role and Responsibilities:</b></p></div><div><ul><li><p>
Write efficient queries to extract and analyze large datasets while ensuring seamless systems integration by developing robust data workflows.</p></li></ul></div><div><ul><li><p>
Design, develop, and maintain scalable ETL solutions for data pipelines, enhancing and optimizing existing processes to meet evolving business needs.</p></li></ul></div><div><ul><li><p>
Develop and expand the organization&rsquo;s data technology stack to support advanced data processing and analytics needs, leveraging tools like AWS MapReduce and PySpark for big data handling.</p></li></ul></div><div><ul><li><p>
Apply machine learning techniques to clean and process data, supporting future initiatives to integrate machine learning into analytics workflows.</p></li></ul></div><div><ul><li><p>
Continuously evaluate and adopt the most efficient tools and technologies for data extraction, transformation, analysis, and integration.</p></li></ul></div><div><ul><li><p>
Build a strong understanding of customer business needs to deliver tailored and impactful data solutions, collaborating with stakeholders to translate business requirements into technical implementations.</p></li></ul></div><div><ul><li><p>
Utilize AWS services, including MapReduce and related tools, to enable scalable data processing and pipeline optimization while ensuring security, scalability, and cost-efficiency.</p></li></ul></div><div><ul><li><p>
Monitor and improve the performance of data systems and processes, staying updated on industry trends and emerging technologies in data engineering and analytics.</p></li></ul></div><p></p><div><p><b>
Required Skills:</b></p></div><div><ul><li><p>
Minimum 3 years of experience with AWS cloud data lake architectures including services like S3, Glue, Athena, and Redshift.</p></li></ul></div><div><ul><li><p>
Hands on experience with Apache Airflow for designing and managing complex data workflows.</p></li></ul></div><div><ul><li><p>
Deep understanding of data warehouse concepts, architectures, and structures.</p></li></ul></div><div><ul><li><p>
Expertise in cloud technologies, particularly AWS services, including AWS Glue, AWS Data Lake, and Amazon EMR for big data processing.</p></li></ul></div><div><ul><li><p>
Proven ability to design and build robust, scalable data pipelines for big data processing and transformation.</p></li></ul></div><div><ul><li><p>
Hands-on experience with big data tools and frameworks such as PySpark, Databricks, and related technologies.</p></li></ul></div><div><ul><li><p>
Proficiency in programming languages such as Python for data manipulation, transformation, and analysis. Advanced Python development skills, including experience with AWS SDKs (e.g. boto3) for interacting with cloud services.</p></li></ul></div></div><div><div><ul><li><p>
Proficiency in Apache Kafka for real-time data streaming and event-driven architectures.</p></li></ul></div><div><ul><li><p>
Strong SQL skills with a focus on complex query development and optimization. Familiarity with NoSQL databases such as DynamoDB or MongoDB</p></li></ul></div><div><ul><li><p>
Experience integrating Python applications with RESTful APIs and external services</p></li></ul></div><div><ul><li><p>
Deep understanding of data security best practices, including encryption at rest and in transit. Hands-on experience in implementing AWS KMS (Key Management Services) for managing encryption keys.</p></li></ul></div><div><ul><li><p>
Familiarity with IAM policies, VPC configurations, and security groups for securing data pipelines.</p></li></ul></div><div><ul><li><p>
Familiarity with machine learning concepts and their application to data cleaning and integration tasks.</p></li></ul></div><div><ul><li><p>
Advanced English proficiency, with excellent communication skills for collaborating with stakeholders</p></li></ul></div></div><p></p><p><b>
Exciting Benefits we offer:</b></p><ul><li><p>
Market-leading Salary</p></li><li><p>
Medical Coverage &ndash; Self &amp; Dependents</p></li><li><p>
Parents Medical Coverage</p></li><li><p>
Provident Fund</p></li><li><p>
Employee Performance-based bonuses</p></li><li><p>
Home Internet Subsidy</p></li><li><p>
Conveyance Allowance</p></li><li><p>
Profit Sharing Plan [Tenured Employees Only]</p></li><li><p>
Life Benefit</p></li><li><p>
Child Care Facility</p></li><li><p>
Company Provided Lunch/Dinner</p></li><li><p>
Professional Development Budget</p></li><li><p>
Recreational area for in-house games</p></li><li><p>
Sporadic On-shore training opportunities</p></li><li><p>
Friendly work environment</p></li><li><p>
Leave Encashment</p></li></ul><p></p><p><b><i>
Disclaimer:</i></b><i> At Contour, we attribute our success to the unique contributions of our diverse staff. We&rsquo;re committed to fostering a culture of respect that thrives on the varied perspectives and experiences of all individuals we recruit, employ, promote, and compensate. Since day one, we&rsquo;ve adhered to a policy that champions a work environment honoring the worth and dignity of each person while being free from all forms of employment discrimination.</i></p><p></p><p><i>
In our continuous effort to promote inclusivity, we extend our commitment to individuals with special needs by providing reasonable accommodations. We actively encourage qualified individuals with special needs to apply for the various openings within our company. Should you require assistance in completing the application process or have any inquiries regarding special facilities, please do not hesitate to contact our HR team. Your unique talents and abilities are welcomed and valued here.</i></p></div><p></p>

Ibix Global Tech

<p>Job Description</p><p>We are looking for a Power BI Developer / BI Analyst with 2&ndash;4 years of hands-on experience to design, develop, and maintain interactive dashboards and reports.</p><p>This role focuses on data modeling, DAX, SQL, and ERP integrations, supporting business stakeholders with accurate, insightful, and performance-optimized BI solutions.</p><p>Key Responsibilities</p><ul><li>Design, develop, and maintain Power BI dashboards and reports</li><li>Connect Power BI with ERP systems (Odoo, Sage, or similar) and legacy databases</li><li>Perform data modeling, cleansing, and transformation using Power Query</li><li>Create and optimize DAX measures and calculated columns</li><li>Optimize report performance, data models, and refresh schedules</li><li>Implement Row-Level Security (RLS) and manage Power BI workspace access</li><li>Work with SQL databases (SQL Server / MySQL / PostgreSQL)</li><li>Collaborate with business stakeholders to understand reporting requirements</li><li>Ensure data accuracy, consistency, and BI best practices</li><li>Provide documentation, user support, and basic training when required</li></ul><p>Requirements</p><ul><li>2&ndash;4 years of hands-on experience as a Power BI Developer / BI Analyst</li></ul><p>Strong expertise in:</p><ul><li>Power BI Desktop &amp; Power BI Service</li><li>DAX</li><li>Power Query (M)</li><li>Solid experience with SQL and relational databases</li></ul><p>Experience integrating Power BI with:</p><ul><li>ERP systems</li><li>APIs / Web data sources</li><li>On-premise and cloud databases</li><li>Understanding of data modeling and data warehousing concepts</li><li>Experience using Power BI Gateway</li><li>Strong analytical, problem-solving, and communication skills</li></ul><p>Nice to Have</p><ul><li>Experience with Odoo, Sage, or similar ERP systems</li><li>Knowledge of Azure services (Azure SQL, Data Factory)</li><li>Basic understanding of ETL processes</li><li>Experience working with Google Workspace environments</li><li>Microsoft Power BI certification</li></ul><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>What is your current monthly salary package (with currency)?</li><li>What is your expected monthly salary package (with currency)?</li><li>How soon you can join us?</li></ul><p>Education:</p><ul><li>Bachelor's (Required)</li></ul><p>Experience:</p><ul><li>Power BI: 2 years (Required)</li></ul><p>License/Certification:</p><ul><li>Certification (Preferred)</li></ul><p>Work Location: In person</p>

Power BI Developer

Pivotize Consulting

<p><b>Location:</b> Bahria Complex 1 - Karachi</p><p><b>Job Overview</b><br/>Seeking an experienced Power BI Developer who will work as an integral part business Intelligence team, responsible for assisting in the development, implementation, and maintenance of data-driven solutions that empower informed decision-making across the organization.</p><p>You will work closely with developers and stakeholders to gather requirements, design data models, and develop reports and dashboards that provide actionable insights.</p><p><b>Responsibilities: </b><br/>. Assist in analyzing business requirements and translating them into technical specifications.<br/>. Collaborate with stakeholders to understand data sources, data structures, warehouse and business rules.<br/>. Participate in designing and developing data models and databases to support BI solutions.<br/>. Develop and maintain reports, dashboards, and visualizations using BI tools preferably Microsoft Power BI.<br/>. Optimize existing Power BI reports for improved performance and usability.<br/>. Work closely with users to gather requirements, prototype solutions, and refine deliverables.<br/>. Integrate Power BI with various data sources, including databases, APIs, and other data repositories.<br/>. Ensure the data accuracy, reliability, and performance of reports and dashboards.<br/>. Collaborate with data engineers and administrators to optimize ETL workflows and ensure data quality and integrity.<br/>. Optimize and tune SQL queries and database performance for large-scale data sets.<br/>. Provide technical support to users regarding BI tools, reports, and data-related inquiries.<br/>. Monitor and troubleshoot BI solutions to identify and resolve issues in a timely manner.<br/>. Maintaining and upgrading BI tools, applications, and infrastructure.<br/>. Document technical specifications, data mappings, and development processes.<br/>. Conduct training sessions to educate users on BI tools and best practices.</p><p><b>Requirements:</b><br/>. Degree in Computer science, Information technology, or a related field.<br/>. 6+ years experience with BI tools and systems such as Power BI, Tableau.<br/>. Prior experience in data-related tasks.<br/>. Familiar with MS SQL Server BI Stack tools and technologies, such as SSRS and TSQL, Power Query, MDX, PowerBI, and DA.<br/>. Knowledge of Power BI application security layer model.<br/>. Proficient in doing advanced-level computations on the data set.<br/>. Strong communication and interpersonal skills.<br/>. Power Bi certifications will be a plus.</p><p>Job Type: Full-time</p><p>Pay: Rs250,000.00 - Rs300,000.00 per month</p><p>Application Question(s):</p><ul><li>What is your current salary?</li><li>What is your expected salary?</li><li>What is your notice period?</li><li>Are you able to commute to Bahria Complex 1, Lalazar, M.T. Khan Road for onsite interview &amp; job?</li></ul><p>It's mandatory to be available on-site. No Freelance or Remote option / No online interviews &amp; assessment.</p><p>Work Location: In person</p>

Senior Power BI Developer

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