business analyst

ai engineer

data analyst

data architect

data scientist

data engineer

Datamatics Global Services Ltd

<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>

Data Engineer

<div><h2 class="jobSectionHeader"><b>Job Title: Senior Data Engineer (AWS)</b></h2><p><b>
Experience:</b> 6&ndash;8 Years<br>
<b>Location:</b> Remote<br>
<b>Industry:</b> Retail / Data &amp; Analytics</p><p></p><h3 class="jobSectionHeader"><b><br>
Job Summary</b></h3><p>
We are seeking highly skilled and innovative <b>Senior Data Engineers (AWS)</b> to join a dynamic team supporting advanced data initiatives. The ideal candidates will have strong hands-on experience in building scalable data pipelines, working with AWS data services, and delivering high-quality data solutions in fast-paced environments.</p><p>
This role requires individuals who are problem-solvers, adaptable, and capable of working collaboratively within high-performing teams.</p><p></p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul><li>
Design, develop, and maintain scalable <b>data pipelines</b> using AWS services.</li><li>
Build and optimize ETL/ELT processes using <b>AWS Glue</b> and <b>DBT (Data Build Tool)</b>.</li><li>
Manage and configure <b>data workflows and orchestration</b> within the Orion framework.</li><li>
Develop and maintain <b>configuration files</b> and ensure seamless integration across systems.</li><li>
Collaborate with data architects, analysts, and business stakeholders to deliver data solutions.</li><li>
Optimize data processing performance and ensure data quality and reliability.</li><li>
Work on <b>data modeling, transformation, and warehousing solutions</b>.</li><li>
Implement best practices for <b>data governance, security, and compliance</b>.</li><li>
Troubleshoot and resolve data-related issues across pipelines and infrastructure.</li><li>
Contribute to continuous improvement and innovation in data engineering practices.</li></ul><p></p><h3 class="jobSectionHeader"><b>
Required Skills &amp; Expertise</b></h3><ul><li>
Strong experience with <b>AWS ecosystem</b>, including:<ul><li>
AWS Glue</li><li>
Amazon S3</li><li>
AWS Lambda</li><li>
Amazon Redshift / RDS</li></ul></li><li>
Hands-on expertise in <b>DBT (Data Build Tool)</b> for data transformation.</li><li>
Solid understanding of <b>data pipeline architecture and ETL/ELT processes</b>.</li><li>
Experience working with <b>Orion framework</b> and handling configuration-driven workflows.</li><li>
Good understanding of <b>networking concepts</b> within AWS environments (VPC, subnets, security groups).</li><li>
Proficiency in <b>SQL and Python</b> for data processing.</li><li>
Experience with <b>version control systems</b> (Git).</li><li>
Familiarity with <b>CI/CD pipelines</b> for data workflows.</li></ul><p></p><h3 class="jobSectionHeader"><b>
Preferred Qualifications</b></h3><ul><li>
Experience in <b>retail or supply chain data environments</b>.</li><li>
Exposure to <b>real-time data processing and streaming frameworks</b>.</li><li>
Knowledge of <b>data lake and lakehouse architectures</b>.</li><li>
AWS certifications (e.g., AWS Certified Data Analytics or Solutions Architect).</li></ul><p></p><h3 class="jobSectionHeader"><b>
Key Competencies</b></h3><ul><li>
Strong analytical and problem-solving skills</li><li>
Innovative mindset with a focus on continuous improvement</li><li>
Ability to work in <b>high-performance, collaborative teams</b></li><li>
Excellent communication and stakeholder management skills</li><li>
Ownership and accountability for deliverables</li></ul><p>
</p><p>7A69crohYg</p></div>

Senior Data Engineer (AWS)

Mashreq

<div>
 <p>
  Job Purpose
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Data &amp; Analytics Driven Organization:
  </strong>
  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.
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  Key result Areas
 </p>
 <p>
  <br/>
 </p>
 <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>
 <p>
  Interacting with Data Platform software and hardware vendors to coordinate support, updates, and service-level agreements.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Knowledge, Skills and Experience
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Core Skills:
  </strong>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Management Skills:
  </strong>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Additional Skills Desired:
  </strong>
 </p>
 <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>
 <p>
 </p>
</div>


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

<div>
 Data &amp; Analytics Driven Organization: One Data Analytics &amp; AI Business Unit drive the vision to transform the Bank into a Data Driven Organization (DDO) using latest tools and technologies in Data space. Wholesale &amp; Ops Data team is a stream within One Data Organization driving this agenda for Wholesale &amp; Ops Banking function.
 <br/>
 <br/>
 - 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.
 <br/>
 - This role requires to have a knowledge of core system, payment systems, digital journeys, marketing systems, risk and compliance systems which are very data intensive systems across UAE, Egypt, Pakistan and other IBG regions etc.
 <br/>
 - Our core function spans multiple platforms like Enterprise Data Lake, Azure Data Lake, Business Intelligence, Advanced Analytics and Realtime Streaming platforms.
 <br/>
 - 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.
</div>


Senior Manager - Data Engineer.MGN Pak - Digital Data Platforms.MIT - PAKCOE

<div>
 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.
 <br/>
 - 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.
 <br/>
 - 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.
 <br/>
 - Our core function spans multiple platforms like Enterprise Data Lake, Azure Data Lake, Business Intelligence, Advanced Analytics and Realtime Streaming platforms.
 <br/>
 - 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.
</div>


AVP - Lead Data and BI.MGN Pak - TECH - Data Management.MIT

Speechify

<div>
 The mission of Speechify is to make sure that reading is never a barrier to learning.
 <br/>
 <br/>
 Over 50 million people use Speechify&rsquo;s text-to-speech products to turn whatever they&rsquo;re reading &ndash; PDFs, books, Google Docs, news articles, websites &ndash; into audio, so they can read faster, read more, and remember more. Speechify&rsquo;s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
 <br/>
 <br/>
 Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting &ndash; Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
 <br/>
 <br/>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
  </li>
  <li>
   Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
  </li>
  <li>
   Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
  </li>
  <li>
   Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team&rsquo;s dataset roadmap to power Speechify&rsquo;s next-generation consumer and enterprise products.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  An Ideal Candidate Should Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   BS/MS/PhD in Computer Science or a related field.
  </li>
  <li>
   5+ years of industry experience in software development.
  </li>
  <li>
   Proficiency with bash/Python scripting in Linux environments
  </li>
  <li>
   Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
  </li>
  <li>
   Experience with web crawlers, large-scale data processing workflows is a plus
  </li>
  <li>
   Ability to handle multiple tasks and adapt to changing priorities.
  </li>
  <li>
   Strong communication skills, both written and verbal.
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   <br/>
  </li>
 </ul>
 <strong>
  What we offer
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A fast-growing environment where you can help shape the company and product.
  </li>
  <li>
   An entrepreneurial-minded team that supports risk, intuition, and hustle.
  </li>
  <li>
   A hands-off management approach so you can focus and do your best work.
  </li>
  <li>
   An opportunity to make a big impact in a transformative industry.
  </li>
  <li>
   Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
  </li>
  <li>
   Opportunity to work on a life-changing product that millions of people use.
  </li>
  <li>
   Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
  </li>
  <li>
   Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Think you&rsquo;re a good fit for this job?
  <br/>
  <br/>
 </strong>
 Tell us more about yourself and why you're interested in the role when you apply.
 <br/>
 <br/>
 And don&rsquo;t forget to include links to your portfolio and LinkedIn.
 <br/>
 <br/>
 <strong>
  Not looking but know someone who would make a great fit?
  <br/>
  <br/>
 </strong>
 Refer them!
 <br/>
 <br/>
 <strong>
  Speechify is committed to a diverse and inclusive workplace.
  <br/>
  <br/>
 </strong>
 Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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Software Engineer, Data Infrastructure & Acquisition - Karachi, Pakistan

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