senior devops engineer

devops engineer

data analyst

software engineer

ai/ml engineer

big data engineer

Techbridge Consultancy Services

Location: Siddique Trade Centre, Gulberg III, Lahore, Pakistan Job Type: Full-time (Onsite) Working Hours: 2:00 PM &ndash; 11:00 PM (PKT)About the RoleWe are looking for a motivated Python Data Engineer with 2&ndash;3 years of experience to join our growing data team. You will be responsible for building, optimizing, and maintaining data pipelines and solutions that support business intelligence, analytics, and automation. This is an onsite role in our Lahore office.Key Responsibilities<ul><li>Develop, maintain, and optimize ETL/ELT pipelines using Python and related libraries (Pandas, NumPy, PySpark).</li><li>Write and optimize complex SQL queries for PostgreSQL, SQL Server, and other RDBMS.</li><li>Work with AWS Cloud services (S3, Lambda, Glue, Athena, Step Functions, EventBridge) to design and manage scalable data workflows.</li><li>Handle data ingestion, transformation, and validation for reporting and analytics.</li><li>Automate manual processes and integrate data flows across different systems.</li><li>Collaborate with analysts and business teams to ensure reliable and timely delivery of datasets and reports.</li><li>Use Excel and other BI tools for quick data analysis and validation.</li><li>Ensure data quality, security, and compliance in all data operations.</li></ul>Required Skills<ul><li>2&ndash;3 years of professional experience in data engineering, ETL, or backend development.</li><li>Strong proficiency in Python (Pandas, NumPy, PySpark).</li><li>Solid knowledge of SQL (PostgreSQL, SQL Server, or similar).</li><li>Experience with AWS Cloud services (S3, Lambda, Glue, Athena, Step Functions, EventBridge).</li><li>Hands-on experience in Excel for data validation and reporting.</li><li>Familiarity with data warehousing concepts and big data tools.</li><li>Understanding of data modeling, schema design, and performance optimization.</li><li>Strong problem-solving, analytical, and communication skills.</li></ul>Preferred<ul><li>Experience with job orchestration tools (Airflow, Step Functions, etc.).</li><li>Exposure to BI/Reporting tools (e.g., Power BI, QuickSight, Tableau).</li><li>Knowledge of APIs, REST, and data integration techniques.</li><li>Experience with Git and version control.</li></ul>What We Offer<ul><li>Opportunity to work with modern data engineering tools and AWS Cloud.</li><li>Professional growth in a collaborative and supportive environment.</li><li>Onsite role at a prime location in Gulberg III, Lahore</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>How many years of professional experience do you have working with Python for data engineering or ETL pipelines?</li><li>How would you rate your proficiency in writing and optimizing SQL queries?</li><li>Are you comfortable working full-time onsite from 2:00 PM to 11:00 PM (PKT) in Gulberg III, Lahore?</li></ul>Language:<ul><li>English (Preferred)</li></ul>Work Location: In person

Python Data Engineer (ETL & AWS)

Adal Fintech (Pvt) Ltd.

<div>Role Overview:
At Adal Fintech, we are seeking a skilled Data Engineer with strong expertise in SQL, PL/SQL, Stored Procedures, Database Query Optimization, SSIS, Apache Spark, and Python. The ideal candidate will design, develop, and optimize data pipelines and ETL workflows, ensuring efficient and scalable data solutions to support business intelligence and analytics initiatives.
About AdalFi:
At AdalFi, we&rsquo;re building Pakistan&rsquo;s fastest-growing AI-powered digital lending infrastructure, enabling banks to launch innovative credit products in days instead of months. Our platform uses advanced AI and data analytics to help financial institutions make smarter, faster lending decisions transforming access to credit for millions.
What You&rsquo;ll Do:<ul><li>Build and maintain ETL processes and data pipelines (SQL, PL/SQL, SSIS, Apache Spark, Python).</li><li>Write and optimize complex queries and stored procedures for high performance.</li><li>Work with large-scale structured/unstructured data, ensuring quality, security, and compliance.</li><li>Collaborate with BI teams and stakeholders to deliver reliable, scalable data solutions.</li><li>Document technical designs and workflows for knowledge sharing.</li></ul>
What We&rsquo;re Looking For:<ul><li>4+ years of experience in Data Engineering field.</li><li>Strong expertise in SQL, PL/SQL, Stored Procedures, query optimization, and performance tuning.</li><li>Hands-on experience with ETL tools (SSIS), big data (Apache Spark), and Python.</li><li>Solid understanding of data modeling, warehousing, and relational databases.</li><li>Familiarity with Git, CI/CD, and collaborative problem-solving.</li></ul>
Requirements:<ul><li>Bachelor&rsquo;s degree in CS, IT, or related field.</li><li>Experience with cloud platforms (AWS, Azure, GCP).</li><li>Knowledge of data governance, security, and compliance.</li><li>Exposure to NoSQL and real-time data processing.</li></ul></div>

Senior Data Engineer

Cloudelligent

<div>
 
 
 
 
 
 Position Title:
 
 AWS Data Engineer&nbsp;
 
 
 
 
 
 
 
 
 Job Timings:
 
 8:00 AM &ndash; 5:00 PM CST (6:00 PM- 3:00 AM PKT)
 
 
 
 
 
 
 
 
 Location:&nbsp;
 
 Lahore
 
 
 
 
 
 
 
 
 
 About Cloudelligent&nbsp;
 
 
 
 
 
 
 
 
 
 Cloudelligent is Cloud-native consultancy and AWS Advanced consulting partner! We specialize in providing bespoke cloud solutions to Startups &amp; SMBs. Being a next-gen cloud service provider, Cloudelligent helps businesses to make the most out of their cloud investment. We have an international footprint with a diverse team of domain experts, and we are customer obsessed.&nbsp;
 
 
 
 
 
 
 
 
 
 Job Objective
 
 
 
 
 
 
 
 
 
 We are seeking an experienced Data Engineer with a strong background in data engineering, database optimization, and cloud-based data solutions, particularly on AWS. The ideal candidate will have hands-on experience with both SQL and NoSQL databases and be proficient in migrating, managing, and modernizing data platforms. You should be skilled in designing and maintaining scalable, secure, and high-performance data infrastructure in the cloud.
 
 
 
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Design, implement, and manage cloud-based data infrastructure using Amazon RDS, Aurora, and EC2-hosted databases.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Administer and optimize PostgreSQL, MySQL, and Oracle databases, ensuring high availability, performance, and cost-efficiency.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Perform data migrations and transformations using AWS Database Migration Service (DMS) and other tools.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Collaborate with data architects, engineers, and DevOps teams to deliver reliable and scalable data solutions.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Support developers by analyzing and optimizing SQL queries and data workflows for performance and efficiency.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Monitor and troubleshoot data issues, ensuring availability, security, and compliance.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Implement data automation, infrastructure as code (IaC), and CI/CD pipelines for database and data pipeline deployments.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Ensure data security, encryption, and compliance with industry best practices and internal policies.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Maintain comprehensive documentation on data architecture, processes, and procedures.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Stay up to date with emerging AWS features, data engineering tools, and industry best practices.
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 Requirements
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, or a related field.
 
 
 
 
 </li>
 <li>
 
 
 
 
 4+ years of experience in data engineering or database engineering, including hands-on experience with databases on AWS.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Strong experience with AWS data services such as RDS, Aurora, and DMS.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Proficient in performance tuning, indexing strategies, partitioning, and query optimization.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Strong scripting and automation experience using Python, Bash, or similar tools.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Experience with infrastructure as code tools like Terraform or CloudFormation.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Solid understanding of backup strategies, monitoring tools, and security best practices.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Familiarity with multi-account AWS environments and cross-region replication.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Excellent communication and problem-solving skills.
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 Highly Desirable
 
 
 
 
 <ul>
 <li>
 
 
 
 
 AWS Certification (e.g., AWS Certified Data Engineer &ndash; Associate, AWS Certified Solutions Architect &ndash; Associate).
 
 
 
 
 </li>
 <li>
 
 
 
 
 Experience with large-scale on-prem to AWS data migrations.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Familiarity with data governance, compliance, and auditing tools.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Exposure to data lake architecture and AWS services like Glue, Athena, or Kinesis is a plus.
 
 
 
 
 </li>
 </ul>
 
 
 
 
</div>

AWS Data Engineer

<div>Position Title: AWS Data Engineer 
Job Timings: 8:00 AM &ndash; 5:00 PM CST (6:00 PM- 3:00 AM PKT) 
Location: Lahore 
 
About Cloudelligent 
 
Cloudelligent is Cloud-native consultancy and AWS Advanced consulting partner! We specialize in providing bespoke cloud solutions to Startups &amp; SMBs. Being a next-gen cloud service provider, Cloudelligent helps businesses to make the most out of their cloud investment. We have an international footprint with a diverse team of domain experts, and we are customer obsessed. 
 
Job Objective 
 
We are seeking an experienced Data Engineer with a strong background in data engineering, database optimization, and cloud-based data solutions, particularly on AWS. The ideal candidate will have hands-on experience with both SQL and NoSQL databases and be proficient in migrating, managing, and modernizing data platforms. You should be skilled in designing and maintaining scalable, secure, and high-performance data infrastructure in the cloud. 
 
Responsibilities<ul><li>
Design, implement, and manage cloud-based data infrastructure using Amazon RDS, Aurora, and EC2-hosted databases.</li><li>
Administer and optimize PostgreSQL, MySQL, and Oracle databases, ensuring high availability, performance, and cost-efficiency.</li><li>
Perform data migrations and transformations using AWS Database Migration Service (DMS) and other tools.</li><li>
Collaborate with data architects, engineers, and DevOps teams to deliver reliable and scalable data solutions.</li><li>
Support developers by analyzing and optimizing SQL queries and data workflows for performance and efficiency.</li><li>
Monitor and troubleshoot data issues, ensuring availability, security, and compliance.</li><li>
Implement data automation, infrastructure as code (IaC), and CI/CD pipelines for database and data pipeline deployments.</li><li>
Ensure data security, encryption, and compliance with industry best practices and internal policies.</li><li>
Maintain comprehensive documentation on data architecture, processes, and procedures.</li><li>
Stay up to date with emerging AWS features, data engineering tools, and industry best practices.</li></ul> 

Requirements<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, or a related field.</li><li>
4+ years of experience in data engineering or database engineering, including hands-on experience with databases on AWS.</li><li>
Strong experience with AWS data services such as RDS, Aurora, and DMS.</li><li>
Proficient in performance tuning, indexing strategies, partitioning, and query optimization.</li><li>
Strong scripting and automation experience using Python, Bash, or similar tools.</li><li>
Experience with infrastructure as code tools like Terraform or CloudFormation.</li><li>
Solid understanding of backup strategies, monitoring tools, and security best practices.</li><li>
Familiarity with multi-account AWS environments and cross-region replication.</li><li>
Excellent communication and problem-solving skills.</li></ul> 

Highly Desirable<ul><li>
AWS Certification (e.g., AWS Certified Data Engineer &ndash; Associate, AWS Certified Solutions Architect &ndash; Associate).</li><li>
Experience with large-scale on-prem to AWS data migrations.</li><li>
Familiarity with data governance, compliance, and auditing tools.</li><li>
Exposure to data lake architecture and AWS services like Glue, Athena, or Kinesis is a plus.</li></ul>
Eo1X4DjTaJ</div>

Architecture In Motion

<ul><li>Job Responsibilities</li>
<li>Data Ingestion and Integration: You will need to ingest data from various sources such as databases, files, APIs, and streaming platforms into Azure using services such as Azure Data Factory for ETL jobs.</li>
<li>Data Transformation and Processing: Large-scale data transformation and processing tasks to prepare the data for analysis and reporting using Azure Databricks and Azure Synapse Analytics and tools like Apache Spark.</li>
<li>Data Storage and Management: Develop, build and manage the appropriate storage solutions for data using Azure SQL Database, Azure Cosmos DB for structured data, Azure Data Lake Storage for big data and unstructured data, and Azure Blob Storage.</li>
<li>Data Warehousing: Implementing data warehousing solutions using services such as Azure Synapse Analytics to create scalable and distributed analytics capabilities for handling large datasets.</li>
<li>Data Modeling and Analysis: Collaborate with machine learning engineers to design and implement data models for analytical workloads using Azure Analysis Services and Azure Databricks.</li>
<li>Real-time Data Processing: Configure and optimize streaming pipelines to extract insights from live data streams for Azure Stream.</li>
<li>Data Governance and Security: Data governance and security practices that cover data access controls, implement encryption, monitor data quality, and establish data retention policies.</li>
<li>MLOps and Automation: Automating data pipelines, monitoring data processes, and managing deployments using tools like Azure DevOps, Azure Monitor, and Azure Automation to achieve continuous integration and delivery (CI/CD).</li>
<li>Work in a team oriented and agile environment based on designed scrums, sprints and daily stand ups.</li>
<li>Contribution in projects documentation. 
 
Must Have Skills 
</li>
<li>Bachelor&rsquo;s degree in computer science, computer engineering, or a related field.</li>
<li>5+ years of experience in data engineering.</li>
<li>Proficiency in programming languages included Python and SQL.</li>
<li>Knowledge and experiences for cloud-based platforms specifically Azure cloud included Azure SQL, Data factory, Synapse, and Data Warehouse.</li>
<li>Participate in modeling Relational and NoSQL databases.</li>
<li>Experience with of MLOps and DevOps principles and best practices.</li>
<li>MS Power BI development and report management experience.</li>
<li>Experience with Agile/Scrum framework.</li>
<li>Excellent communication and collaboration skills.</li></ul>

Senior Data Engineer (Remote)

Haq BPO Solutions

Location: DHA 5, LahoreAbout the Role:Infinity Edge Technologies is hiring a Senior Data Engineer to join our growing Data Engineering team. This is a great opportunity for someone with over 3 years of experience looking to expand their skills in modern data platforms, tools, and cloud technologies.As a Senior Data Engineer, you'll play a vital role in building scalable data pipelines and helping us build a reliable data infrastructure to support analytics, reporting, and AI/ML initiatives. You&rsquo;ll work closely with engineering, analytics, and DevOps teams to deliver quality data products and enable smarter business decisions.Key Responsibilities&#9679; Build and maintain reliable, scalable ETL/ELT pipelines using tools like DBT, Airflow, or Matillion&#9679; Develop complex SQL queries for data extraction, transformation, and reporting&#9679; Work on cloud platforms like GCP, AWS, or Azure and services like BigQuery, Snowflake, or S3&#9679; Collaborate with cross-functional teams to design and implement new data models&#9679; Support data quality and data governance processes&#9679; Create and maintain technical documentation and participate in code reviews&#9679; Integrate and automate data ingestion from multiple sources (APIs, internal systems, third-party platforms)&#9679; Ensure proper access controls, security, and compliance (HIPAA, if applicable) Required Skills &amp; Qualifications&#9679; 3+ years of experience in Data Engineering, ETL/ELT processes, or Data Warehousing&#9679; Strong command over SQL, Python, and scripting for data transformation&#9679; Experience with at least one cloud platform (AWS, GCP, Azure)&#9679; Hands-on experience with modern tools like DBT, Airflow, Fivetran, Snowflake, BigQuery, etc.&#9679; Good understanding of data modeling, data governance, and data quality practices&#9679; Experience working in Agile environments and CI/CD pipelines&#9679; Comfortable working in cross-functional teams and fast-paced environments BI, Reporting &amp; Visualization: &#9679; Tableau, Power BI, Looker, Amazon QuickSight&#9679; SQL Reporting, Business KPI DashboardsData Modeling &amp; Performance:&#9679; Star Schema, Snowflake Schema, Data Vault&#9679; Dimensional Modeling, Normalization/Denormalization&#9679; Query Optimization, Indexing, Caching, Partitioning&#9679; dbt SQL TransformationsPreferred (Nice to Have)&#9679; DBT or Snowflake Certification&#9679; Knowledge of FHIR, healthcare data models, or working with regulated domains (e.g., healthcare, banking)&#9679; Experience with Docker, Kubernetes, or big data technologies like Kafka, pySpark&#9679; Understanding of data security, IAM policies, and compliance frameworksJob Type: Full-timePay: Rs300,000.00 - Rs350,000.00 per monthAbility to commute/relocate:<ul><li>Lahore: Reliably commute or planning to relocate before starting work (Preferred)</li></ul>Experience:<ul><li>4years: 3 years (Preferred)</li></ul>Work Location: In person

Ascertia

<div>Ascertia delivers digital trust products and services globally for Enterprises, Governments and Trust Service Providers. Ascertia solutions enable digital business processes which are fundamentally underpinned by digital trust to ensure that digital identities are proven, and business transactions and signatures are trustworthy. 
 
Ascertia's digital signature platform and PKI products deliver digital trust across people, devices, data, and documents. At the heart of Ascertia&rsquo;s digital trust ecosystem is a wide-reaching customer base, 100+ expert partners and integrators which have been delivering Ascertia products, cloud services and apps since 2001. 
 
Ascertia has experienced solid revenue growth and is hiring new team members to drive further growth, success and take on the larger big-name organisations across the PKI and Digital Signature industries. Ascertia has over 190 full-time employees and is looking for Senior Software Engineer (.NET). This opportunity provides a solid platform for the successful candidate to stretch themselves and work with a talented team to achieve global success.
Senior Software Engineer (.NET)
Job Description
Ascertia is hiring an experienced Senior Software Engineer to work on .NET Core/ASP.NET MVC, Web APIs, Entity Framework, SQL Server. The ideal candidate must have demonstrable experience with .NET Core/ASP.NET MVC, Web APIs, SQL Server Database along with good understanding of OOPs Concepts, SOLID principles and commonly used design patterns. He / She should additionally possess responsibility, leadership quality, and seeking new challenges, take initiatives, thinking out of the box, self-driven, self-motivated and be a good team player. Should have experience on enterprise level products.
Job Specifications:<ul><li>
Minimum 4-7 years of professional software and web development experience</li><li>
A good understanding of SQL Databases and concepts, able to write complex queries</li><li>
SQL Server monitoring, optimizing and maintaining efficiency of data retrieving.</li><li>
Development experience in C#,.NET Core ASP.NET MVC, MS SQL Server</li><li>
Good experience with HTML, JavaScript, JQuery, JSON, DOM, Web Services, REST APIs</li><li>
Demonstrable experience of ORMs e.g. Entity Framework
</li><li>Proficiency in object oriented design and architecture</li><li>
Good written English and communication skills</li></ul>
Programming Languages:
C#, .NET Core, ASP.NET MVC Core, Bootstrap CSS, SQL, T-SQL, JavaScript, JQuery, CSS, JSON, XML, HTML
We offer:<ul><li>
An interesting and challenging job, dynamic opportunity for professional growth.</li><li>
A market remuneration package including Provident fund</li><li>
Medical Insurance for Family and OPD allowance</li><li>
Bi Annual Bonus</li><li>
Bi Annual Increments
</li><li>Paid time Off</li><li>
State of the Art infrastructure.</li><li>
Complementary Meals</li><li>
Company sponsored quarterly events and yearly excursion trip</li></ul>
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Senior Software Engineer (.NET)

Explore 948+ Big data engineer in Lahore this September. Find roles across top companies and apply now to boost your career.

948 big data engineer jobs IN Lahore

Python Data Engineer (ETL & AWS)

Senior Data Engineer

AWS Data Engineer

AWS Data Engineer

Senior Data Engineer (Remote)

Senior Data Engineer

Senior Software Engineer (.NET)