planning engineer

data analyst

ai/ml engineer

data scientist

data architect

data engineer

Job Bank Recruitment Network

<p>DATA ENGINEER &mdash; AI &amp; MODEL TRAINING</p><p>Job Bank &mdash; AI Business Engine Development</p><p>Location: Remote (Pakistan)<br/>Language: Must speak Fluent EnglishSalary: Competitive &mdash; Based on Experience</p><p>---</p><p>About Job Bank</p><p>Job Bank is a UK‑focused platform helping people start recruitment and training businesses through two simple annual plans (&pound;100 &amp; &pound;200). We are now building Job Bank AI &mdash; a specialised AI system designed to help users create and scale their own recruitment or training business.</p><p>Our AI ecosystem includes:</p><ul><li>Recruitment AI</li><li>Training &amp; Course AI</li><li>Business Builder AI</li><li>Marketing/Outreach AI</li><li>AI Assistants (Recruiter / Trainer / Business Coach / Operations)</li><li>Business Engine (AI Tool Suite)</li></ul><p>We are building a vertical AI platform, with deep industry‑specific intelligence &mdash; NOT a generic chatbot.</p><p>This is your opportunity to become a foundational part of a fast‑growing AI product used across the UK.</p><p>---</p><p>Role Overview</p><p>We are looking for a Data Engineer who can prepare, structure, clean and optimise datasets for AI fine‑tuning and retrieval systems.</p><p>Your work will directly power:</p><ul><li>fine‑tuned recruitment models</li><li>training/course intelligence</li><li>business‑building AI</li><li>outreach and marketing AI</li><li>autonomous AI assistants</li><li>AI-driven games and simulations</li></ul><p>This role is crucial to the accuracy, reliability and performance of Job Bank AI.</p><p>---</p><p>Key Responsibilities</p><p>Data Preparation &amp; Engineering</p><ul><li>Collect datasets related to recruitment, training, business planning, marketing, and operations</li><li>Clean and standardise raw data (text, CSV, JSON, documents)</li><li>Label and structure data into instruction formats for LLM training</li><li>Build datasets for fine‑tuning small/medium models</li><li>Develop evaluation datasets for model scoring</li></ul><p>Data Architecture &amp; Pipelines</p><ul><li>Build and maintain ETL pipelines for AI model ingestion</li><li>Create scalable data workflows to support training cycles</li><li>Manage datasets using tools like Pandas, PySpark or equivalent</li><li>Optimise dataset quality, consistency, and token efficiency</li></ul><p>Vector Databases &amp; Retrieval</p><ul><li>Work with embeddings and vector databases (FAISS, Chroma, Pinecone, Weaviate)</li><li>Build and maintain retrieval datasets for RAG systems</li><li>Ensure high‑quality indexing for search, scoring and assistant use</li></ul><p>AI Model Support</p><ul><li>Support AI/ML engineers during fine‑tuning cycles</li><li>Prepare domain‑specific datasets for niche models</li><li>Validate and test model outputs against evaluation sets</li><li>Assist with dataset revisions and incremental model improvements</li></ul><p>Collaboration</p><ul><li>Work with AI Engineers to support model training</li><li>Work with Full‑Stack Developers to integrate datasets into the platform</li><li>Work directly with the founder to align on roadmap and priorities</li></ul><p>---</p><p>Technical Skills (Must Have)</p><p>Data Engineering</p><ul><li>Data cleaning, validation, normalisation</li><li>ETL pipeline development</li><li>JSON, CSV, XML processing</li><li>Strong Python (Pandas, NumPy)</li><li>Experience with large text datasets</li><li>Dataset versioning and quality control</li></ul><p>AI/Data Skills</p><ul><li>Experience preparing datasets for LLM fine‑tuning</li><li>Understanding of instruction tuning formats</li><li>Embeddings &amp; vector stores (FAISS, Pinecone, Chroma)</li><li>RAG data preparation</li><li>Working knowledge of tokenisation and dataset optimisation</li></ul><p>General</p><ul><li>Strong attention to detail</li><li>Ability to work quickly and independently</li><li>Fluent English communication skills</li><li>Experience supporting AI development teams</li><li>Ability to think like a product-focused engineer</li></ul><p>---</p><p>Bonus Skills (Nice to Have)</p><ul><li>Experience with recruitment or training datasets</li><li>Knowledge of course design or HR workflows</li><li>Familiarity with LangChain, LlamaIndex, or similar</li><li>Exposure to machine learning pipelines</li><li>Experience working with international/remote teams</li></ul><p>---</p><p>What We Offer</p><ul><li>Competitive salary (based on expertise)</li><li>Long‑term role with growth potential</li><li>Work on a high‑impact AI product</li><li>A stable, ambitious product roadmap</li><li>Flexible remote working</li><li>Supportive, fast‑paced, visionary team</li><li>Opportunity to build category‑defining AI</li></ul><p>---</p><p>Why This Role Matters</p><p>You will be the engine behind our AI intelligence.<br/>Your datasets will shape:</p><ul><li>how accurately the AI writes job ads</li><li>how well it scores CVs</li><li>how intelligent the business plans are</li><li>how powerful the training/courses become</li><li>how effective the assistants behave</li></ul><p>Job Type: Full-time</p><p>Pay: Rs80,000.00 - Rs100,000.00 per month</p><p>Work Location: Remote</p>

Data Engineer

Zones IT Solutions

<div>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 Company Overview:
 <br/>
 <br/>
 When it comes to IT solution providers, there are a lot of choices. But when it comes to providers with innovative and differentiating end-to-end service offerings, there&rsquo;s really only one: Zones &ndash; First Choice for IT.TM
 <br/>
 <br/>
 Zones is a Global Solution Provider of end-to-end IT solutions with an unmatched supply chain. Positioned to be the IT partner you need, Zones, a Minority Business Enterprise (MBE) in business for over 35 years, specializes in Digital Workplace, Cloud &amp; Data Center, Networking, Security, and Managed/Professional/Staffing services. Operating in more than 120 countries, leveraging a robust portfolio, and utilizing the highest certification levels from key partners, including Microsoft, Apple, Cisco, Lenovo, Adobe, and more, Zones has mastered the science of building digital infrastructures that change the way business does business ensuring whatever they need, they can Consider IT Done. Follow Zones, LLC on Twitter @Zones, and LinkedIn and Facebook.
 <br/>
 <br/>
 Position Overview
 <br/>
 <br/>
 The Data Engineer will build and manage the end-to-end data ecosystem across pipelines, transformations, modeling, quality, and monitoring in an Azure-first environment. As the data engineer for the team, this role requires strong technical depth, full ownership, and the ability to support both operational and analytical data needs. The ideal candidate brings hands-on expertise with Azure Data Factory, Azure Databricks, Azure SQL, and integrations with APIs and Azure services, and is comfortable managing data pipelines, ensuring data quality, enabling security, and supporting Power BI datasets to deliver reliable and well-structured data to the business.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Do As The Data Engineer
  <br/>
  <br/>
 </strong>
 Employees employed in the role of Data Engineer shall be required to apply their independent mind and demonstrate intellectual abilities in their decision-making.
 <br/>
 <br/>
 The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This job description is not intended to be a comprehensive list of the duties and responsibilities of the position, and the duties and responsibilities may change without notice.
 <br/>
 <br/>
 Key Responsibilities
 <br/>
 <br/>
 <ul>
  <li>
   Build and maintain data pipelines using Azure Data Factory for batch and incremental loads.
  </li>
  <li>
   Develop transformation workflows in Azure Databricks.
  </li>
  <li>
   Design and optimize Azure SQL schemas, tables, queries, indexes, and stored procedures.
  </li>
  <li>
   Integrate data from APIs, Logic Apps, and Function Apps, ensuring accuracy and consistency.
  </li>
  <li>
   Implement data quality, validation, and monitoring, with alerts and health checks for pipelines.
  </li>
  <li>
   Ensure data security and governance, including PII handling, access policies, and Key Vault.
  </li>
  <li>
   Collaborate with application and integration engineers on API-driven and event-driven data requirements.
  </li>
  <li>
   Support Power BI at a basic level (datasets, model optimization, refresh schedules)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You Will Bring To The Team
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Around 5 years of hands-on experience as a Data Engineer with end-to-end ownership of data pipelines and models.
  </li>
  <li>
   Strong expertise in:
  </li>
  <ul>
   <li>
    Azure Data Factory (ADF)
   </li>
   <li>
    Azure Databricks
   </li>
   <li>
    Azure SQL
   </li>
  </ul>
  <li>
   Solid understanding of ETL/ELT patterns, data modeling, and orchestration.
  </li>
  <li>
   Comfortable integrating with APIs, Logic Apps, and Function Apps.
  </li>
  <li>
   Working knowledge of Power BI datasets and refresh management.
  </li>
  <li>
   Clear communication skills and the ability to work independently and cross-functionally.
   <br/>
  </li>
 </ul>
 Zones offers a comprehensive Benefits package
 <br/>
 <br/>
 At Zones, we are committed to fostering an inclusive and diverse workplace where every team member is valued and supported. We offer life insurance, optional health insurance, EOBI, and a voluntary pension scheme in line with Company policy. Employees also enjoy additional perks such as Complimentary meals, and access to our in-house gym.
 <br/>
 <br/>
 We take pride in being an equal opportunity employer and remain dedicated to maintaining a workplace free from discrimination of any kind. If you are passionate about driving innovation in IT, sales, engineering, or operations, Zones provides a dynamic and collaborative environment to help you grow your career.
 <br/>
 <br/>
 All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy.
 <br/>
 <br/>
 Job Timings: 8:00 PM to 5:00 AM (Pakistan Time)
 <br/>
 <br/>
</div>


Arpatech

<p><b>Role &amp; Responsibilities:</b></p><ul><li>Design and implement scalable ETL/ELT pipelines for data ingestion, transformation, and storage.</li><li>Optimize data workflows to improve performance and maintain high scalability.</li><li>Integrate data from multiple sources into centralized data platforms.</li><li>Architect and maintain databases, data lakes, and data warehouses for both structured and unstructured datasets.</li><li>Monitor and validate data to ensure accuracy, consistency, and completeness.</li><li>Implement data security, governance, and compliance controls aligned with industry standards.</li><li>Collaborate with data analysts, AI engineers, and cross-functional teams to gather and define data requirements.</li><li>Provide technical support for analytics, BI, and reporting platforms.</li><li>Evaluate new tools and technologies to enhance data architecture and performance.</li><li>Maintain detailed documentation and update technical guides regularly.</li></ul><p><b>Requirements:</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, or a related discipline.</li><li>3&ndash;4 years of hands-on experience in building and managing data pipelines and data architectures.</li><li>Demonstrated experience designing and managing data pipelines and data architectures.</li><li>Strong knowledge of SQL and NoSQL databases, data modeling concepts, and schema design.</li><li>Hands-on expertise with data processing frameworks such as Apache Spark or Hadoop.</li><li>Experience working with major cloud platforms (AWS, Azure, or Google Cloud).</li><li>Proficiency in programming languages such as Python, Scala, or Java.</li></ul><p><b>Preferred Skills:</b></p><ul><li>Experience with data visualization tools (e.g., Power BI, Tableau).</li><li>Knowledge of streaming and real-time data technologies (e.g., Kafka, Flink).</li><li>Professional certifications in cloud data services (e.g., AWS Certified Data Analytics, Azure Data Engineer).</li></ul><p><b>Shift timings: 9 AM - 6 PM Karachi &amp; Islamabad (Onsite) &amp; Remote for other cities.</b></p><p>Work Location: Remote</p>

H2o Labs

<p><b>Location:</b> Onsite<br/><b>Shift:</b> Night Shift<br/><b>Job Type:</b> Full-Time</p><p><b>Job Overview:</b></p><p>We are looking for a skilled and detail-oriented <b>Data Engineer</b> 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.</p><p><b>Key Responsibilities:</b></p><ul><li>Design, develop, and maintain scalable <b>ETL/ELT pipelines</b></li><li>Build and manage <b>data warehouses</b> 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><p><b>Required Skills &amp; Qualifications:</b></p><ul><li>Bachelor&rsquo;s degree in Computer Science, IT, or related field</li><li>2&ndash;4 years of experience as a <b>Data Engineer</b> or similar role</li><li>Strong proficiency in <b>SQL</b> and database design</li><li>Hands-on experience with <b>Python</b> (or similar programming language)</li><li>Experience with <b>ETL tools</b> (e.g., Airflow, Talend, Informatica)</li><li>Familiarity with <b>cloud platforms</b> (AWS, GCP, or Azure)</li><li>Experience with <b>big data tools</b> (e.g., Hadoop, Spark)</li><li>Understanding of data warehousing concepts</li><li><b>Excellent communication and interpersonal skills</b></li><li>Strong problem-solving and analytical skills</li></ul><p><b>Preferred Qualifications:</b></p><ul><li>Experience with <b>real-time data processing</b></li><li>Knowledge of <b>Docker/Kubernetes</b></li><li>Familiarity with <b>CI/CD pipelines</b></li><li>Experience working in agile environments</li></ul><p>Job Type: Full-time</p><p>Pay: Rs100,000.00 - Rs220,000.00 per month</p><p>Work Location: In person</p>

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>

AlphaBOLD

<div><h2 class="jobSectionHeader"><b>JOB SUMMARY</b></h2>
<p>
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.</p>
<h3 class="jobSectionHeader"><b>
Key Responsibilities</b></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"><b>Required Skills &amp; Qualifications</b></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"><b>Preferred Qualifications</b></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"><b>Soft Skills</b></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"><b>Education</b></h3>
<ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, Information Technology, or a related field</li>
</ul><h3 class="jobSectionHeader"><b>Nice to Have</b></h3>
<ul><li>Certifications in cloud platforms (AWS, Azure, GCP)</li>
<li>Experience working with large-scale distributed systems</li></ul></div>

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><p>TCS Hiring Azure Data Engineer at PAN India locations!!</p>
<p>
Experience Range- 5 to12 Years</p>
<p>
Key Technical Skillsets-</p>
<p>
</p><ul><li>Strong proficiency in Python, Pyspark.</li>
<li>Data Ingestion and Integration: Ingest data from various sources such as databases, files, APIs, and streaming platforms into Azure. For example, you could use Azure Data Factory to orchestrate the extraction, transformation, and loading (ETL) of data from an on-premises SQL Server database to Azure Blob Storage.
</li><li>Data Transformation and Processing: Perform data transformation and processing tasks to prepare the data for analysis and reporting. Azure Databricks or Azure Synapse Analytics can be used for large-scale data transformations using tools like Apache Spark.</li>
<li>Data Storage and Management: Select and manage the appropriate storage solutions for your data. For instance, you could use Azure SQL Database or Azure Cosmos DB for structured data, Azure Data Lake Storage for big data and unstructured data, or Azure Blob Storage for file storage.</li>
<li>Data Warehousing: Implementing data warehousing solutions is a common use case for Azure Data Engineers. Azure Synapse Analytics (formerly Azure SQL Data Warehouse) offers scalable and distributed analytics capabilities for handling large datasets.</li>
<li>Data Modeling and Analysis: Collaborate with data scientists and analysts to design and implement data models for analytical workloads. Azure Analysis Services or Azure Databricks can be used for building and deploying models to support interactive data analysis.</li></ul><p><br>
</p></div></div></div><div><div><div><b>Location</b></div>
<div>Hyderabad</div>
</div><div><div><b>Job Function</b></div>
<div>CONSULTANCY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>404819</div>
</div><div><div><b>Desired Skills</b></div>
<div>Azure | Big Data | SQL</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF TECHNOLOGY</div></div></div><div></div>

Azure Data Engineer

Explore 2502+ Data engineer in Pakistan this April. Find roles across top companies and apply now to boost your career.

2502 data engineer jobs In Pakistan

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Azure Data Engineer