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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>

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

Senior Data Engineer

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>

Tkxel

<div>
 
 
 Overview
 
 
 
 
 
 We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. The ideal candidate will have a deep understanding of Microsoft Azure's Data Analytics Platform and possess extensive experience with tools such as Azure Data Factory, Azure Synapse, Apache Spark or Databricks, and Power BI. Knowledge of Microsoft Fabric is preferred but not necessary. This role requires a leader capable of guiding a team or multiple teams of Data Engineers and delivering successful Data Engineering projects. With 5 to 8 years of experience in the field, the Senior Data Engineer will play a crucial role in transforming raw data into actionable insights that drive our business forward.
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 - Design, build, and maintain scalable and robust data pipelines using Azure Data Factory, Azure Synapse, and other relevant tools.
 
 
 
 - Leverage Apache Spark or Databricks for big data processing and analytics.
 
 
 
 - Develop and optimize data models, schema design and architectures for data warehousing and business intelligence using Power BI and other analytics tools.
 
 
 
 - Lead and mentor teams of Data Engineers, providing technical guidance and oversight to ensure project success.
 
 
 
 - Collaborate with cross-functional teams, including data scientists, business analysts, and IT professionals, to understand data needs and deliver comprehensive data solutions.
 
 
 
 - Implement and maintain data security and compliance measures in line with organizational policies and regulations.
 
 
 
 - Stay abreast of industry trends and advancements in data engineering and analytics technologies, applying best practices to improve processes and solutions.
 
 
 
 - Drive the adoption of innovative data engineering techniques and tools, fostering a culture of continuous improvement and learning.
 
 
 
 
 
 Requirements
 
 
 
 - Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
 
 
 
 - 5 to 8 years of experience in data engineering, with a strong focus on Microsoft Azure's Data Analytics Platform.
 
 
 
 - Proficiency in Azure Data Factory, Azure Synapse, Apache Spark or Databricks, and Power BI.
 
 
 
 - Experience leading and managing teams of Data Engineers in a fast-paced environment.
 
 
 
 - Strong understanding of data modeling, ETL processes, and data warehousing principles.
 
 
 
 - Excellent problem-solving skills and the ability to work independently or as part of a team.
 
 
 
 - Knowledge of Microsoft Fabric is preferred but not necessary.
 
 
 
 - Excellent communication and interpersonal skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
 
 
 
 
 
</div>

Senior Data Engineer/Delivery Lead

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)

Code Graphers

Key Responsibilities:<ul><li>Design, develop, and deploy scalable machine learning models and algorithms.</li><li>Build robust data pipelines for large-scale data processing and transformation.</li><li>Collaborate with data engineers, software developers, and business stakeholders to define requirements and deliver solutions.</li><li>Perform exploratory data analysis (EDA), feature engineering, and model optimization.</li><li>Implement MLOps practices for continuous integration and deployment of ML models.</li><li>Ensure high-quality data governance, version control, and reproducibility of experiments.</li><li>Translate complex datasets into clear insights and data visualizations for business stakeholders.</li><li>Mentor junior data scientists and contribute to best practices within the team.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Statistics, Mathematics, or related field.</li><li>4&ndash;6 years of professional experience in data science, ML engineering, or applied machine learning.</li><li>Strong proficiency in Python/R and relevant libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).</li><li>Experience with SQL and working with relational/non-relational databases.</li><li>Hands-on experience with data engineering tools (Spark, Hadoop, Airflow, Kafka, etc.).</li><li>Proven expertise in machine learning, statistical modeling, and deep learning techniques.</li><li>Familiarity with MLOps tools and practices (MLflow, Kubeflow, Docker, Kubernetes, CI/CD pipelines).</li><li>Experience with cloud platforms (AWS, GCP, Azure) for data science workflows.</li><li>Strong problem-solving, analytical, and communication skills.</li></ul>Preferred Qualifications:<ul><li>Experience in natural language processing (NLP) or computer vision projects.</li><li>Knowledge of big data ecosystems and distributed computing.</li><li>Familiarity with business intelligence tools (Tableau, Power BI, Looker).</li><li>Prior experience in mentoring or leading junior engineers/data scientists.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Are you comfortable with the onsite setting?</li></ul>Experience:<ul><li>Data Science : 4 years (Required)</li></ul>Location:<ul><li>Lahore (Required)</li></ul>Work Location: In person

Senior Data Science Engineer

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AWS Data Engineer

AWS Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer/Delivery Lead

Senior Data Engineer (Remote)

Senior Data Science Engineer