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data engineer

Contour Software

<div><div>About Contour</div><div></div><div><div>
Contour Software</div> has grown from a dozen people to over 2,000 staff across 3 cities, in less than 14 years.</div><div><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.</div><div><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!</div><div></div><div>
The Division:<br>
<br>
At CSIPay, a Jonas company, we are dedicated to empowering Constellation&rsquo;s six operating groups in the USA and Canada with seamless payment processing solutions. Our goal is to give you greater control over your revenue, enhance your market potential, and improve customer satisfaction, fostering success for all within the Constellation family.</div><div><br>
The Position:<br>
<br>
We are looking for Data Engineers 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.</div><div><br>
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.</div><div><br>
Role and Responsibilities include but not limited to:<br>
<br>
<ul><li>Write efficient queries to extract and analyze large datasets while ensuring seamless systems integration by developing robust data workflows.</li><li>Design, develop, and maintain scalable ETL solutions for data pipelines, enhancing and optimizing existing processes to meet evolving business needs.</li><li>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.</li><li>Apply machine learning techniques to clean and process data, supporting future initiatives to integrate machine learning into analytics workflows.</li><li>Continuously evaluate and adopt the most efficient tools and technologies for data extraction, transformation, analysis, and integration.</li><li>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.</li><li>Utilize AWS services, including MapReduce and related tools, to enable scalable data processing and pipeline optimization while ensuring security, scalability, and cost-efficiency.</li><li>Monitor and improve the performance of data systems and processes, staying updated on industry trends and emerging technologies in data engineering and analytics.</li></ul>
Required Skills:<br>
<ul><li>Minimum 3 years of experience with AWS cloud data lake architectures including services like S3, Glue, Athena, and Redshift.</li><li>Hands on experience with Apache Airflow for designing and managing complex data workflows.</li><li>Deep understanding of data warehouse concepts, architectures, and structures.</li><li>Expertise in cloud technologies, particularly AWS services, including AWS Glue, AWS Data Lake, and Amazon EMR for big data processing.</li><li>Proven ability to design and build robust, scalable data pipelines for big data processing and transformation.</li><li>Hands-on experience with big data tools and frameworks such as PySpark, Databricks, and related technologies.</li><li>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.</li><li>Proficiency in Apache Kafka for real-time data streaming and event-driven architectures.</li><li>Strong SQL skills with a focus on complex query development and optimization. Familiarity with NoSQL databases such as DynamoDB or MongoDB</li><li>Experience integrating Python applications with RESTful APIs and external services</li><li>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.</li><li>Familiarity with IAM policies, VPC configurations, and security groups for securing data pipelines.</li><li>Familiarity with machine learning concepts and their application to data cleaning and integration tasks.</li><li>Advanced English proficiency, with excellent communication skills for collaborating with stakeholders</li></ul></div><div>
Exciting Benefits we offer:</div><ul><li><div>
Market-leading Salary</div></li><li><div>
Medical Coverage &ndash; Self &amp; Dependents</div></li><li><div>
Parents Medical Coverage</div></li><li><div>
Provident Fund</div></li><li><div>
Employee Performance-based bonuses</div></li><li><div>
Home Internet Subsidy</div></li><li><div>
Conveyance Allowance</div></li><li><div>
Profit Sharing Plan [Tenured Employees Only]</div></li><li><div>
Life Benefit</div></li><li><div>
Child Care Facility</div></li><li><div>
Company Provided Lunch/Dinner</div></li><li><div>
Professional Development Budget</div></li><li><div>
Recreational area for in-house games</div></li><li><div>
Sporadic On-shore training opportunities</div></li><li><div>
Friendly work environment</div></li><li><div>
Leave Encashment</div></li></ul><div></div><div><i>
Disclaimer:</i><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></div><div></div><div><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></div></div><div></div>

Data Engineer

Squarera

<p>Are you a passionate pioneer in technology?</p><p>If so, consider an opportunity with SQUARERA with a full career path within the firm.<br/>To succeed in this data engineering position, you should have strong analytical skills and the ability to combine data from different sources. Data engineer skills include familiarity with several programming languages.</p><p>As a future Trainee Data Engineer, you should have the ability to share new ideas and collaborate within team. If you are detail-oriented, with excellent organizational skills and have some knowledge in this field, we&rsquo;d like to hear from you.</p><p>Fresh graduates or done with their final semester candidates are encouraged to apply!</p><p>Job Responsibilities:</p><p>As a data engineer trainee, you will/may:</p><ul><li>Collect and process log events from multiple data sources to support the design, implementation, automation and deployment of our distributed system.</li><li>Design data schema and optimization of SQL/NoSQL database systems.</li><li>Work collaboratively in designing, development, and maintenance of ongoing metrics, reports, analyzes, and dashboards to drive key business decisions.</li><li>Monitor and troubleshoot operational or data issues in the data pipelines.</li><li>Develop visual automated data pipelines able to process millions of data points.</li><li>You will be responsible for the technical development of any new data integration solution to be plugged into the overall data architecture.</li><li>Undergraduates &amp; candidates outside of Karachi please do not apply.</li></ul><p>BASIC QUALIFICATIONS</p><ul><li>Currently enrolled in or will receive a Bachelor&rsquo;s in Computer Science, Computer Engineering, Information Management, Information Systems, or an equivalent technical discipline.</li><li>Strong knowledge of SQL.</li></ul><p>Key Competencies:</p><ul><li>Attention to detail</li><li>Data collection, management, and analysis</li><li>Problem analysis and problem-solving</li><li>Planning and organizing</li><li>Decision-making</li><li>Teamwork</li><li>Ability to think and work independently</li></ul><p>Perks &amp; Benefits (After selection as a full-time employee)</p><ul><li>Travel Abroad Opportunities</li></ul><p>Note:<br/>The selected trainees would have:</p><ul><li>To sign an undertaking for 27 months</li><li>Medical Insurance</li><li>Annual Bonus</li><li>Yearly Increment</li></ul><p>Job Type: Full-time</p><p>Work Location: In person</p>

Trainee Data Engineer

Techlogix

<div><div><b>Core Skills:</b><br>
</div><ul><li>
Data engineer with a solid technical background and banking experience in data-intensive systems (&gt;7 years)<br>
</li><li>
Strong experience in Big Data, Hadoop Ecosystem, Spark Streaming, Kafka, Python, SQL, Hive, NIFI, Airflow<br>
</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<br>
</li><li>
Proficiency in relational SQL, Graph and NoSQL databases.<br>
</li><li>
Proficiency in Elastic Search and Couchbase databases<br>
</li><li>
In-depth skills in developing and maintaining ETL/ELT data pipelines.<br>
</li><li>
Experience in data modelling techniques such as Kimball star schema, 3NF, vault modelling etc.<br>
</li><li>
Experience in workflow management tools such as Airflow, Oozie and CI/CD tools<br>
</li><li>
Data streaming solution in Kafka or Confluent Kafka<br>
</li><li>
Hands on experience in Google Big Query, Google Analytics &amp; Clickstream Data Model<br>
</li><li>
Reporting knowledge in Power Bl, Tableau, Qlik etc.<br>
</li><li>
Sound in Data Management Fundamentals and Data Architect, Modelling, Governance<br>
</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.<br>
</li><li>
Hands on knowledge in Hadoop and Azure/AWS cloud ecosystem and ETL jobs migration<br>
</li><li>
Knowledge of Advance Analytics and Al tools</li></ul><div></div><h3 class="jobSectionHeader"><b><br>
Requirements</b></h3><div>
Minimum BS Degree in CS, IT or Engineering<br>
Banking Domain Knowledge will be a Plus.</div><h3 class="jobSectionHeader"><b><br>
Benefits</b></h3><div>
Competitive Salary, Medical OPD &amp; IPD, Life Insurance, EOBI</div></div>

Data Engineering Lead

<p>We are looking for a Jr. Data Engineer who has a strong foundation in SQL and a passion for data. You will work with our data team to build and maintain pipelines, support data modeling, and contribute to the overall data architecture. This is a great opportunity for someone early in their career to grow in a supportive and dynamic environment.</p><p>Key Responsibilities:</p><ul><li>Design, build, and maintain reliable data pipelines using SQL and other ETL tools.</li><li>Collaborate with data analysts, engineers, and business stakeholders to gather requirements and deliver data solutions.</li><li>Clean, transform, and validate data for use in reporting and analytics.</li><li>Ensure data quality and integrity across multiple sources.</li><li>Monitor existing workflows and optimize queries for better performance.</li><li>Participate in code reviews and contribute to technical documentation.</li></ul><p>Required Skills and Qualifications:</p><ul><li>6 months to 1 year of hands-on experience in data engineering or a similar role.</li><li>Proficient in writing complex SQL queries (joins, window functions, CTEs, aggregations, etc.).</li><li>Basic understanding of ETL processes and data pipeline tools.</li><li>Familiarity with databases such as PostgreSQL, MySQL, or SQL Server.</li><li>Exposure to cloud platforms like AWS, GCP, or Azure is a plus.</li><li>Good problem-solving skills and attention to detail.</li><li>Excellent communication and collaboration abilities.</li></ul><p>Preferred (but not required):</p><ul><li>Experience with Python or any scripting language.</li><li>Familiarity with tools like Airflow, DBT, or data warehousing solutions like Snowflake/BigQuery/Redshift.</li><li>Exposure to version control systems (e.g., Git).</li></ul><p>What We Offer:</p><ul><li>A collaborative team environment.</li><li>Opportunities for learning and professional growth.</li><li>Competitive compensation.</li></ul><p>Job Type: Full-time</p><p>Work Location: In person</p>

Jr. Solution Engineer - Data

Inqline

<p><b>Job Title:</b> Backend Engineer (Python, LLM &amp; AI Agents, Big Data)</p><p><b>Location: </b>Karachi, Pakistan <b>Job Type:</b> Full-Time</p><p><b>About the Role:</b></p><p>We are looking for a <b>Backend Engineer</b> with <b>2-3 years of experience</b> in Python development, specializing in <b>LLMs (Large Language Models), AI Agents, and Big Data handling</b>. The ideal candidate should have hands-on experience working with <b>LangGraph</b> and AI-driven workflows. You will play a crucial role in designing and optimizing scalable backend systems that integrate AI models for automation and intelligent decision-making.</p><p><b>Key Responsibilities:</b></p><ul><li>Develop and maintain backend services using <b>Python</b> with a focus on <b>AI Agents, LLM-based applications, and LangGraph</b>.</li><li>Build and optimize <b>AI-driven workflows</b> using LangGraph for reasoning and decision-making automation.</li><li>Design and implement <b>scalable APIs and microservices</b> for AI applications.</li><li>Work with <b>Big Data processing frameworks</b> to efficiently manage and process large datasets.</li><li>Develop data pipelines and integrate AI models into production environments.</li><li>Ensure <b>system scalability, reliability, and performance</b> in AI-powered applications.</li><li>Deploy AI-driven solutions on <b>cloud platforms</b> (AWS, GCP, or Azure).</li><li>Collaborate with <b>ML engineers, data scientists, and frontend developers</b> to build intelligent automation tools.</li><li>Write <b>clean, maintainable, and well-documented code</b> following best practices.</li></ul><p><b>Requirements:</b></p><ul><li><b>2-3 years</b> of experience in <b>backend development</b> using <b>Python (Django, FastAPI, Flask, etc.)</b>.</li><li>Strong experience with <b>Large Language Models (LLMs)</b> and AI-powered applications.</li><li>Hands-on experience with <b>LangGraph</b> for AI workflow orchestration.</li><li>Experience working with <b>AI Agents (LangChain, OpenAI APIs, AutoGPT, etc.)</b>.</li><li>Knowledge of <b>Big Data handling</b> &ndash; experience with <b>Apache Spark, Dask, Kafka, or similar</b> is a plus.</li><li>Expertise in <b>building APIs (RESTful, GraphQL)</b> and microservices architecture.</li><li>Familiarity with <b>databases</b> (SQL and NoSQL &ndash; PostgreSQL, MongoDB, etc.).</li><li>Experience with <b>cloud computing</b> (AWS, GCP, Azure) for AI deployments.</li><li>Understanding of <b>containerization (Docker, Kubernetes)</b> and CI/CD pipelines.</li><li>Strong problem-solving skills and ability to work in a fast-paced environment.</li></ul><p><b>Nice to Have:</b></p><ul><li>Experience with <b>vector databases</b> (e.g., Pinecone, Milvus, FAISS, Weaviate).</li><li>Exposure to <b>NLP techniques</b> and <b>fine-tuning LLMs</b>.</li><li>Experience with <b>event-driven architectures</b> and <b>real-time data processing</b>.</li></ul><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>How much experience do you have in Large Language Models (LLMs) and AI-powered applications?</li></ul><p>Education:</p><ul><li>Bachelor's (Required)</li></ul><p>Experience:</p><ul><li>Backend development Python (Django, FastAPI, Flask, etc.).: 3 years (Required)</li></ul><p>Language:</p><ul><li>English (Preferred)</li></ul><p>Work Location: In person</p><p>Application Deadline: 30/08/2025</p>

Backend Engineer (Python, LLM & AI Agents, Big Data)

Systems Limited

<div><p>We are seeking an experienced Data Engineer with hands-on expertise in building and optimizing data pipelines and workflows. The ideal candidate will have strong experience with Azure Data Factory, Microsoft Fabric, and PySpark.</p>
<p><b>
Responsibilities:</b></p>
<ul>
<li><p>Design, develop, and maintain scalable data pipelines using Azure Data Factory.</p>
</li>
<li><p>Work with Microsoft Fabric to enhance data warehousing and analytics capabilities.</p>
</li>
<li><p>Develop and optimize ETL processes using PySpark.</p>
</li>
<li><p>Ensure data integrity, quality, and availability across systems.</p>
</li>
<li><p>Collaborate with cross-functional teams including data scientists, analysts, and product managers.</p>
</li>
<li><p>Monitor and troubleshoot data workflows to ensure optimal performance and reliability.</p>
</li>
<li><p>Maintain documentation and follow best practices in data engineering.</p></li></ul><br>
<p>
</p><h3 class="jobSectionHeader"><b>Requirements:</b></h3>
<ul>
<li><p>Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field.</p>
</li>
<li><p>5+ years of experience in data engineering or similar roles.</p>
</li>
<li><p>Proven expertise in Azure Data Factory</p>
</li>
<li><p>Hands-on experience with Microsoft Fabric.</p>
</li>
<li><p>Proficiency in PySpark and distributed data processing.</p>
</li>
<li><p>Strong understanding of data warehousing concepts and cloud architecture.</p>
</li>
<li><p>Excellent problem-solving and communication skills.</p>
</li>
<li><p>Ability to work independently and within a team environment.</p></li></ul></div>

Senior Consultant Data Analytics

office field software house

<p>Office Field is looking for a diligent and experienced Data Architect to join our team</p><p><b>Responsibilities</b>:</p><ul><li>Design and implement effective database solutions for stock, crypto, and financial data.</li></ul><ul><li>Establish best practices in architecture, design, and development.</li></ul><ul><li>Perform SQL tuning and optimize database responsiveness.</li></ul><ul><li>Use Snowflake to support high-frequency data ingestion and enhance data quality.</li></ul><ul><li>Implement and maintain ETL workflows with Airflow and Snowflake.</li></ul><ul><li>Ensure software quality, security, and modifiability.</li></ul><ul><li>Address data challenges in PostgreSQL and MongoDB databases.</li></ul><ul><li>Optimize ETL workflows using Apache Airflow.</li></ul><p><b>Requirements</b>:</p><ul><li>Bachelor&rsquo;s degree in Computer Science or related field.</li></ul><ul><li>6+ years&rsquo; experience in similar roles.</li></ul><ul><li>Proficiency in Firebase, MongoDB, MySQL, Hadoop, Firehose, and PostgreSQL.</li></ul><ul><li>Experience with Snowflake or similar cloud data warehousing.</li></ul><ul><li>Knowledge of API frameworks like FastAPI and real-time data ingestion.</li></ul><ul><li>Familiarity with AWS and GCP.</li></ul><ul><li>Extensive experience with Apache Airflow for data pipelines.</li></ul><p>Job Type: Full-time</p><p>Experience:</p><ul><li>Python: 1 year (Preferred)</li><li>Data Science: 1 year (Preferred)</li></ul><p>Work Location: In person</p>

Data Architect

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