software engineer

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data engineer

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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

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

Enterprise64

<div><h3 class="jobSectionHeader"><b>Overview</b><br>
<b>Enterprise64 is a U.S.-based technology company that creates digital solutions for startups to Fortune 500 companies in the United States, Europe, and the United Arab Emirates. We are growing rapidly across all our global offices and have career opportunities for tech professionals who are looking to work in a fast-growing company, work in a fun environment, looking to be challenged, grow, and fast-track their careers.</b><br>
<br>
<b>Job Description</b><br>
<b>We are seeking a skilled Senior Data Engineer to design, develop, and maintain scalable, event-driven data architectures on AWS. The ideal candidate will have hands-on expertise in building data pipelines with PySpark and AWS Glue, and experience leading engineering teams to deliver high-performance data solutions. This role requires strong technical leadership, client collaboration, and a deep understanding of big data processing in cloud environments.</b></h3><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul><li>
Architect &amp; Build event-driven data flow systems on AWS to support large-scale data extraction, transformation, and reporting.</li><li>
Develop &amp; Optimize data processing pipelines using <b>PySpark</b> on AWS Glue to streamline big data workflows.</li><li>
Collaborate with Clients to gather requirements, understand business needs, and translate them into actionable technical designs.</li><li>
Implement Best Practices for data governance, monitoring, testing, and performance tuning.</li><li>
Stay Updated with the latest AWS and big data technologies to continuously improve architecture and processes.</li></ul><h3 class="jobSectionHeader"><b>
Required Qualifications</b></h3><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Engineering, or related field.</li><li>
5+ years of experience in data engineering</li><li>
Strong expertise in AWS services (Glue, Lambda, S3, RDS, Athena, etc.).</li><li>
Proficiency in PySpark, Python, and SQL for large-scale data processing.</li><li>
Proven experience designing event-driven data architectures.</li><li>
Excellent communication, and client-facing skills.</li><li>
Strong problem-solving and analytical abilities.</li></ul><p><b>
Benefits</b></p><ul><li>
Talent upskilling program.</li><li>
Provident fund.</li><li>
Health insurance.</li><li>
Eligible for US H-1 Visa.</li><li>
Project-based bonus.</li><li>
Leave encashment.</li><li>
EOBI</li><li>
Maternity leaves/ Paternal WFH</li><li>
Religious holidays</li><li>
Work from home facility.</li><li>
Referral bonus.</li><li>
Paid time off.</li><li>
Transportation service.</li><li>
Loan and advance salary.</li></ul></div>

Senior 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

Careem

<div><div><p>Careem is building the Everything App for the greater Middle East, making it easier than ever to move around, order food and groceries, manage payments, and more. Careem is led by a powerful purpose to simplify and improve the lives of people and build an awesome organisation that inspires. Since 2012, Careem has created earnings for over 2.5 million Captains, simplified the lives of over 70 million customers, and built a platform for the region&rsquo;s best talent to thrive and for entrepreneurs to scale their businesses. Careem operates in over 70 cities across 10 countries, from Morocco to Pakistan.</p></div><div><p><b>
About the Team</b></p>
<p>
The Careem Data Platform team&rsquo;s mission is to provide a platform to abstract big data complexities and enable fast, reliable and secure access to data. As a member of this team, you will be at the forefront of fulfilling this mission. You will be working with the top talent of the region, leveraging modern big data tools and techniques to solve the region&rsquo;s day to day problems, on top of our own in-house data platform, serving users in real-time.</p>
<p>
This role will be part of the Data processing and computation platform team. We are heavily invested in open source technologies like Apache Spark, Apache Kafka, Apache Trino etc. You would also have an opportunity to contribute and collaborate with the open source community.</p>
<p><b>
What you'll do</b></p>
<ul>
<li>Bringing an innovative and creative mindset to data engineering challenges to develop a modern data platform with efficient reusable components</li>
<li>Design, architect, solutioning, implement and test rapid prototypes that demonstrate value of the data and present them to diverse audiences</li>
<li>Your focus will be on making code more efficient to run, optimizing resources across the cluster, and speeding up the compute workloads we face</li>
<li>Continuously improve our engineering processes, tests, and systems that allow us to scale the code base and productivity of the team</li>
<li>Collaborate with teams globally and operate in a fast paced environment</li>
<li>Responsible for creating reusable and scalable data pipelines</li>
</ul>
<p><b>What you&rsquo;ll need</b></p>
<ul>
<li>5+ years of hands-on experience in software development</li>
<li>Bachelor's degree in Computer Science or a related technical field</li>
<li>Strong expertise in Scala, Java, Python or similar programming languages</li>
<li>Proven track record of building distributed systems or working on comparable large-scale projects</li>
<li>Deep understanding of cloud-native Big Data technologies</li>
<li>Solid foundation in software engineering principles and design best practices</li>
<li>Passion for developing high-quality, maintainable, and performant software within a collaborative, high-performing global team</li>
<li>Experience with cloud control planes (AWS, GCP, etc.) or database internals, including query optimization</li>
<li>Contributions to open-source projects will be preferred</li>
<li>Experience with Docker and Kubernetes is a plus</li></ul></div></div><p></p>

Senior Software Engineer I

Xynotech

<p>We&rsquo;re looking for a hands-on <b>Data Engineer</b> to join our team and lead the development of robust data pipelines powering the IllumiFi Analytics platform. You&rsquo;ll work with cutting-edge, cloud-native tools to architect, implement, and optimize serverless data solutions on AWS.</p><p>If you enjoy working with Python, PySpark, and modern data lakehouse patterns in a fast-paced environment &mdash; this is your opportunity to build impactful solutions from the ground up.</p><p><b>What You&rsquo;ll Actually Do Here</b></p><ul><li>Design and implement scalable, serverless data pipelines using AWS services such as <b>Glue, Lambda, Step Functions, Athena, and S3</b></li><li>Build and optimize ETL processes using <b>Python/PySpark</b> for efficient data transformations</li><li>Ingest and process structured and semi-structured data formats including <b>JSON, Parquet, and CSV</b></li><li>Integrate with external APIs using <b>REST protocols and OAuth2 authentication</b></li><li>Model analytical datasets with <b>star/snowflake schemas</b>, implement <b>SCD Type 2</b>, and define <b>partitioning strategies</b> for efficient query performance</li><li>Build and maintain a well-organized <b>S3-based data lake</b> structure to support analytics workloads</li><li>Apply best practices for <b>version control</b>, data quality, and automation using <b>GitHub workflows</b></li><li>Drive technical design discussions and contribute to improving infrastructure, tooling, and data processes</li></ul><p><b>What We&rsquo;re Looking For</b></p><ul><li>2+ years of experince in Data Engineering</li></ul><p>Strong hands-on experience with <b>AWS services</b> &mdash; especially <b>Glue, Lambda, S3, Step Functions, and Athena</b></p><ul><li>Solid command of <b>Python/PySpark</b> for building and managing ETL pipelines</li><li>Proven track record working with large-scale datasets and optimizing performance</li><li>Deep understanding of <b>data modeling</b>, transformations, and <b>SQL</b> for analytical use cases</li><li>Familiarity with <b>REST APIs</b>, OAuth2 authentication, and data integration patterns</li><li>Experience with <b>Git</b>, <b>CI/CD</b>, and workflow automation</li><li>A problem-solving mindset and a passion for scalable, efficient data engineering</li><li>Ability to work independently and collaborate across teams</li></ul><p><b>Tools &amp; Platforms</b></p><ul><li><b>Languages &amp; Frameworks</b>: Python, PySpark</li><li><b>Cloud &amp; Tools</b>: AWS Glue, Lambda, S3, Step Functions, Athena</li><li><b>Data Formats</b>: JSON, Parquet, CSV</li><li><b>Modeling &amp; Querying</b>: SQL, Star/Snowflake schemas</li><li><b>Version Control</b>: Git, GitHub workflows</li></ul><p><b>Nice-to-Haves</b></p><ul><li>Experience with <b>Apache Iceberg or Hudi</b> for data lakehouse architectures</li><li>Knowledge of <b>data quality frameworks</b> like Great Expectations</li><li>Familiarity with <b>Terraform/IaC</b> for infrastructure automation</li><li>Background in <b>e-commerce or analytics platforms</b></li><li>Exposure to <b>performance tuning</b> for large data workloads</li><li>Hands-on with <b>Step Functions HTTP Task</b></li></ul><p>Job Type: Full-time</p><p>Education:</p><ul><li>Bachelor's (Required)</li></ul><p>Experience:</p><ul><li>Data Engineering: 2 years (Required)</li></ul><p>Location:</p><ul><li>Karachi (Required)</li></ul><p>Work Location: In person</p>

Inoviotech

<p><b>Job Title:</b> Senior AI Engineer</p><p><b>Location:</b> Karachi / Onsite<br/><b>Timings</b> Evening / Morning</p><p><b>Job Description:</b></p><p>We are seeking an experienced <b>Senior AI Engineer</b> to design, develop, and deploy advanced Artificial Intelligence and Machine Learning solutions. The ideal candidate will have deep technical expertise, strong problem-solving skills, and a passion for building scalable AI systems that deliver measurable business impact.</p><p><b>Key Responsibilities</b></p><ul><li>Design, build, and optimize AI/ML models for a variety of use cases (NLP, computer vision, recommendation systems, predictive analytics, etc.).</li><li>Lead end-to-end solution development: data collection, preprocessing, model design, training, evaluation, and deployment.</li><li>Collaborate with cross-functional teams (Data Engineering, Product, DevOps) to integrate models into production systems.</li><li>Research and experiment with emerging AI technologies, frameworks, and tools.</li><li>Review code, provide mentorship, and promote best practices within the AI/ML team.</li><li>Monitor model performance, retraining as needed, and ensure scalability and reliability.</li><li>Prepare technical documentation and present findings to stakeholders.</li></ul><p><b>Requirements</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or related field (Ph.D. preferred).</li><li>5+ years of experience in AI/ML development, with at least 2 years in a senior/lead role.</li><li>Proficiency in Python and frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar.</li><li>Strong understanding of algorithms, data structures, and statistics.</li><li>Experience with data pipelines, cloud platforms (AWS/GCP/Azure), and MLOps tools.</li><li>Excellent problem-solving, analytical, and communication skills.</li><li>Ability to work independently and guide junior engineers.</li></ul><p><b>Nice-to-Have</b></p><ul><li>Experience with LLMs, generative AI, or reinforcement learning.</li><li>Knowledge of big data tools (Spark, Hadoop) or streaming systems (Kafka).</li><li>Contributions to open-source AI/ML projects.</li></ul><p><b>Benefits</b> <i>(optional)</i></p><ul><li>Competitive salary</li><li>Health insurance</li><li>Professional development opportunities</li></ul><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>How many years of experience do you have in designing and deploying AI/ML solutions?</li><li>Which AI/ML frameworks are you most proficient in (e.g., TensorFlow, PyTorch, Scikit-learn)?</li><li>Rate your proficiency (1&ndash;5) in:</li></ul><p>Python</p><p>Cloud platforms (AWS / GCP / Azure)</p><p>MLOps / CI-CD for ML</p><ul><li>Describe one complex AI problem you solved and the impact of your solution. (Short answer)</li><li>What is your current notice period?</li><li>Current Salary?</li><li>Expected Salary?</li></ul><p>Work Location: In person</p>

Senior AI Engineer

Explore 1055+ Big data engineer in Karachi this September. Find roles across top companies and apply now to boost your career.

1055 big data engineer jobs IN Karachi

Data Engineering Lead

Data Engineer

Senior Data Engineer

Trainee Data Engineer

Senior Software Engineer I

Data Engineer

Senior AI Engineer