data engineer

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data infrastructure engineer

Farmdar

<div>
 
 
 Job Description for Data Infrastructure Engineer
 
 
 
 
 
 
 
 What is Farmdar?
 
 
 
 Farmdar is an agritech company using AI and space technologies at scale for sustainable agriculture and climate adaptation. Our products&mdash;CropScan, YieldPro, and AgriChain&mdash;deliver actionable insights to farmers and agribusinesses, helping them increase yields, reduce input costs, and build climate resilience. Our mission is to become the world&rsquo;s most trusted crop insights platform.
 
 
 
 
 
 
 Job Title:
 
 Data Infrastructure Engineer
 
 
 
 Job Type:
 
 Permanent
 
 
 
 Location:
 
 Lahore - Hybrid
 
 
 
 
 
 
 Role Overview:
 
 
 
 We are looking for a Data Infrastructure Engineer to design, maintain, and optimize our cloud infrastructure with a focus on data pipeline orchestration and containerized environments. You'll manage critical data workflows using Apache Airflow while ensuring scalable, secure, and reliable deployments using Kubernetes, Docker, and Helm. This role bridges infrastructure operations with data engineering to support our geospatial and analytics platforms.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Data Pipeline Management: Design, deploy, and maintain Apache Airflow for orchestrating complex data workflows and ETL processes
 </li>
 <li>
 Container Orchestration: Manage and optimize containerized applications using Kubernetes, Docker, and Helm
 </li>
 <li>
 CI/CD: Design and maintain CI/CD pipelines for automated builds, testing, and deployments
 </li>
 <li>
 Infrastructure as Code: Implement IaC practices for environment consistency and repeatability
 </li>
 <li>
 Monitoring &amp; Optimization: Monitor system performance, reliability, and cost efficiency across clusters and data pipelines
 </li>
 <li>
 Workflow Automation: Build and optimize DAGs for data processing, geospatial ETL, and scheduled tasks
 </li>
 <li>
 Troubleshooting: Debug deployment issues and optimize workloads for scalability and performance
 </li>
 <li>
 Collaboration: Work with data engineers and developers to streamline delivery pipelines and production operations
 </li>
 <li>
 Security &amp; Compliance: Maintain security, compliance, and access control across environments
 </li>
 <li>
 Data Operations: Support data infrastructure for analytics, reporting, and geospatial processing
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Experience: 2+ years managing production systems using Kubernetes and Docker
 </li>
 <li>
 Airflow: Hands-on experience with Apache Airflow for workflow orchestration, DAG development, and pipeline management
 </li>
 <li>
 Container Orchestration: Proficiency with Helm charts for deployment automation and configuration management
 </li>
 <li>
 Cloud Platforms: Strong understanding of AWS (primary) and GCP
 </li>
 <li>
 CI/CD: Experience with GitHub Actions, Jenkins, or similar tools
 </li>
 <li>
 Monitoring: Familiarity with monitoring and logging stacks (Prometheus, Grafana, ELK, Airflow monitoring)
 </li>
 <li>
 System Administration: Solid knowledge of networking, security, and Linux system administration
 </li>
 <li>
 Scripting: Proficiency in Python (required for Airflow DAGs), Bash, or Go
 </li>
 <li>
 Data Workflows: Understanding of ETL processes, data pipelines, and scheduling patterns
 </li>
 </ul>
 
 
 
 
 
 Nice to Have:
 
 
 <ul>
 <li>
 GIS Infrastructure: Experience deploying and managing geospatial services (GeoServer, PostGIS, tile servers, GDAL)
 </li>
 <li>
 Exposure to geospatial data processing pipelines and spatial ETL workflows
 </li>
 <li>
 Experience with Terraform or other IaC tools
 </li>
 <li>
 Knowledge of data warehousing and analytics platforms (Snowflake, BigQuery, Redshift)
 </li>
 <li>
 Understanding of microservice architectures and cloud-native development workflows
 </li>
 <li>
 Familiarity with spatial databases and geospatial data formats
 </li>
 <li>
 Experience optimizing performance for data-intensive and GIS applications
 </li>
 <li>
 Background in data engineering or analytics engineering
 </li>
 </ul>
 
 
 
 
 
 Equal Opportunity Provider:
 
 
 
 At Farmdar, we believe in creating an environment where everyone has an equal chance to contribute, grow, and succeed. We want all colleagues to feel welcome and comfortable in the workspace. We discourage discrimination of any kind and encourage respect among our fellow colleagues. Our recruitment process is fair for all, regardless of race, age, gender, color, religion, social status, disability or ethnicity
 
 
 
</div>

Data Infrastructure Engineer

MonetizeMore

<div><h3 class="jobSectionHeader">About MonetizeMore</h3>
MonetizeMore is a global leader in ad tech, helping publishers maximize their ad revenue through advanced optimization, data, and automation. Our fully remote team is distributed across the world, driven by innovation, autonomy, and measurable impact.<h3 class="jobSectionHeader">
Role Overview</h3>
We are looking for a Data Infrastructure Engineer to design, build, and maintain scalable data systems that support analytics, machine learning, and business intelligence at MonetizeMore. You will collaborate closely with data engineers, analysts, and product teams to ensure our data pipelines are reliable, efficient, and secure.
In addition to core data infrastructure responsibilities, you will occasionally work on Airflow DAGs and orchestration tasks, supporting our data workflow automation initiatives.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Design, implement, and maintain scalable, high-performance data infrastructure.</li><li>
Manage the data pipelines using Apache Airflow for orchestration and scheduling.</li><li>
Develop and deploy data services and tools using Kubernetes and containerized environments.</li><li>
Leverage AWS services (e.g., S3, Lambda, Athena, ECS/EKS, Glue) for data storage, processing, and orchestration.</li><li>
Ensure reliability, performance, and cost efficiency of data systems.</li><li>
Collaborate with cross-functional teams to support data-driven initiatives and ad tech systems.</li><li>
Implement monitoring, logging, and alerting for all critical data infrastructure components.</li><li>
Champion best practices in data security, governance, and DevOps for data workflows.</li></ul><h3 class="jobSectionHeader">
Qualifications</h3>
Required:<ul><li>
1-2 years of experience in data infrastructure roles.</li><li>
Strong proficiency with Python and SQL.</li><li>
Solid understanding of AWS data and compute services (S3, Athena, ECS/EKS, etc.).</li><li>
Experience in CI/CD, infrastructure-as-code (Terraform, CloudFormation, or similar).</li><li>
Experience with containerization (Docker).</li><li>
Strong problem-solving and debugging skills.</li><li>
Experience with transactional database maintenance. Preferred: Postgres</li></ul>
Preferred:<ul><li>
Knowledge of data warehousing tools like Athena, or BigQuery.</li><li>
Experience managing workflows with Apache Airflow.</li><li>
Hands-on experience deploying and maintaining workloads on Kubernetes.</li><li>
Familiarity with real-time data streaming (Kafka, Kinesis, etc.).</li><li>
Exposure to monitoring and observability tools (Prometheus, Grafana, ELK Stack).</li></ul><h3 class="jobSectionHeader">
Why MonetizeMore</h3><ul><li>
100% remote, flexible work environment.</li><li>
Work with cutting-edge ad tech and data systems.</li><li>
Collaborative, globally distributed team.</li><li>
Opportunities for growth and ownership.</li></ul>
dpdiW5IUw3</div>

<div>
 
 
 Job Description for Data Engineer
 
 
 
 
 
 
 
 What is Farmdar?
 
 
 
 Farmdar is an agritech company using AI and space technologies at scale for sustainable agriculture and climate adaptation. Our products&mdash;CropScan, YieldPro, and AgriChain&mdash;deliver actionable insights to farmers and agribusinesses, helping them increase yields, reduce input costs, and build climate resilience. Our mission is to become the world&rsquo;s most trusted crop insights platform.
 
 
 
 
 
 
 Job Title:
 
 Data Engineer
 
 
 
 Job Type:
 
 Permanent
 
 
 
 Location:
 
 Lahore - Hybrid
 
 
 
 
 
 
 Role Overview:
 
 
 
 We are seeking a Data Engineer with strong Python expertise to design, build, and maintain scalable data pipelines and geospatial analytics infrastructure. You'll architect and optimize complex ETL workflows using Apache Airflow, process large-scale geospatial datasets, and build robust data systems that power our analytics and mapping platforms. This role combines hands-on data engineering with infrastructure knowledge to deliver reliable, high-performance data solutions.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Data Pipeline Development: Design, build, and maintain production-grade ETL/ELT pipelines using Apache Airflow and Python for processing structured, unstructured, and geospatial data
 </li>
 <li>
 Geospatial Data Engineering: Develop spatial ETL workflows for processing GIS data, satellite imagery, vector tiles, and geospatial analytics at scale
 </li>
 <li>
 Workflow Orchestration: Create and optimize complex Airflow DAGs for data ingestion, transformation, quality validation, and delivery
 </li>
 <li>
 Data Modeling: Design efficient data models and schemas for analytics, reporting, and geospatial applications across data warehouses and spatial databases
 </li>
 <li>
 Python Development: Build reusable data processing frameworks, libraries, and tools using Python (pandas, GeoPandas, GDAL, shapely, etc.)
 </li>
 <li>
 Data Quality &amp; Monitoring: Implement data validation, quality checks, monitoring, and alerting for pipeline reliability
 </li>
 <li>
 Performance Optimization: Optimize queries, transformations, and processing jobs for performance and cost efficiency
 </li>
 <li>
 Infrastructure Support: Deploy and manage data infrastructure components using Docker, Kubernetes, and cloud services
 </li>
 <li>
 Collaboration: Partner with analysts, scientists, and engineers to understand requirements and deliver data solutions
 </li>
 <li>
 Documentation: Create comprehensive documentation for pipelines, data models, and processes
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Experience: 1+ years in data engineering roles building production data pipelines
 </li>
 <li>
 Python Expertise: Advanced Python programming skills with experience in data processing libraries (pandas, NumPy, SQL libraries)
 </li>
 <li>
 Apache Airflow: Strong hands-on experience developing, deploying, and managing Airflow for complex workflow orchestration and DAG development
 </li>
 <li>
 SQL Proficiency: Expert-level SQL for data transformation, optimization, and analytics
 </li>
 <li>
 Geospatial Processing: Experience with geospatial data formats (GeoJSON, Shapefile, GeoTIFF), tools (GDAL, GeoPandas, PostGIS), and spatial analysis
 </li>
 <li>
 Data Warehousing: Working knowledge of modern data warehouses (Snowflake, BigQuery, Redshift) and analytics platforms
 </li>
 <li>
 ETL Best Practices: Deep understanding of data pipeline patterns, incremental processing, idempotency, and error handling
 </li>
 <li>
 Cloud Platforms: Experience with AWS or GCP data services (S3, RDS, BigQuery, Cloud Storage, etc.)
 </li>
 <li>
 Version Control: Proficiency with Git and collaborative development workflows
 </li>
 <li>
 Problem Solving: Strong analytical and troubleshooting skills for complex data challenges
 </li>
 </ul>
 
 
 
 
 
 Nice to Have:
 
 
 <ul>
 <li>
 Advanced GIS: Experience with GeoServer, tile servers, spatial indexing, and map rendering pipelines
 </li>
 <li>
 Containerization: Familiarity with Docker and Kubernetes for deploying data applications
 </li>
 <li>
 Real-time Processing: Experience with streaming frameworks (Kafka, Flink, Spark Streaming)
 </li>
 <li>
 CI/CD: Understanding of automated testing and deployment for data pipelines (GitHub Actions, Jenkins)
 </li>
 <li>
 Infrastructure as Code: Exposure to Terraform or CloudFormation
 </li>
 <li>
 Scripting: Additional languages like Bash or R for automation and analysis
 </li>
 <li>
 Data Governance: Knowledge of data cataloging, lineage tracking, and metadata management
 </li>
 </ul>
 
 
 
 
 
 Equal Opportunity Provider:
 
 
 
 At Farmdar, we believe in creating an environment where everyone has an equal chance to contribute, grow, and succeed. We want all colleagues to feel welcome and comfortable in the workspace. We discourage discrimination of any kind and encourage respect among our fellow colleagues. Our recruitment process is fair for all, regardless of race, age, gender, color, religion, social status, disability or ethnicity.
 
 
 
</div>

Data Engineer

Datamatics Global Services Ltd

<div><h2 class="jobSectionHeader">Cloudera Data Engineer</h2>
Location: Remote (UAE Time Zone) 
Experience: 5+ Years 
Availability: Immediate joiners or candidates who can start within 30 days preferred<h3 class="jobSectionHeader">
Role Overview</h3>
We are seeking an experienced Cloudera Data Engineer to design, build, and maintain data pipelines and processing frameworks across Cloudera&rsquo;s ecosystem. The ideal candidate will have strong expertise in Spark, Hive, Impala, NiFi, and Oozie, and proven experience optimizing large-scale data pipelines for performance and reliability.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Design, build, and maintain ETL/ELT pipelines using Spark, Hive, Impala, NiFi, and Oozie.</li><li>
Optimize data pipelines for performance, reliability, and cost efficiency across batch and streaming workloads.</li><li>
Develop automation scripts and reusable frameworks for data ingestion, transformation, and cleansing.</li><li>
Collaborate with Cloudera Administrators to tune performance and manage cluster resources efficiently.</li><li>
Troubleshoot and resolve data pipeline failures, performance bottlenecks, and data quality issues.</li><li>
Monitor cluster utilization, job performance, and data throughput using Cloudera Manager.</li><li>
Work with DevOps/Infrastructure teams to define and maintain CI/CD pipelines, automation for deployments, and monitoring of data jobs.</li><li>
Participate in incident management, root cause analysis, and preventive maintenance.</li><li>
Ensure pipelines meet SLAs, data quality, and latency requirements for analytics workloads.</li></ul><h3 class="jobSectionHeader">
Requirements</h3><ul><li>
5+ years of experience as a Data Engineer in a Cloudera-based environment.</li><li>
Strong hands-on experience with Spark, Hive, Impala, NiFi, and Oozie.</li><li>
Solid understanding of ETL design, performance optimization, and data governance principles.</li><li>
Experience with Linux/Unix scripting and CI/CD integration.</li><li>
Excellent troubleshooting and communication skills.</li></ul>
IppsLo883Y</div>

Cloudera Data Engineer

Taraki

<div>
 This Job is with
 
 Elwood Technologies
 
 , an international startup. The role is fully remote, with UK working hours (i.e. 2pm - 10pm Pakistan time).
 
 
 
 About The Company
 
 
 
 Join a hyper-growth fintech company that provides cutting-edge digital asset trading infrastructure for institutional investors. Their unified platform offers connectivity to global liquidity sources including centralized and decentralized crypto exchanges. With teams across London, New York, and Singapore, the company is building the tech rails powering the next generation of crypto finance.
 
 
 
 About The Role
 
 
 
 We're hiring a Backend Engineer (Trading APIs) to design and build integrations between our institutional trading platform and global crypto exchanges, OTC desks, and brokers. Youll be working with high-performance systems, writing APIs in Golang, and helping scale a real-time, low-latency architecture that connects to dozens of venues.
 
 
 This is a senior hands-on role that will directly impact trade execution reliability and market access.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Build and maintain performant APIs and connectivity modules to external venues (REST, WebSocket, FIX).
 </li>
 <li>
 Develop high-quality, low-latency integrations for order routing, trade execution, and data ingestion.
 </li>
 <li>
 Monitor and support venue connections and real-time data pipelines.
 </li>
 <li>
 Collaborate with product and infrastructure teams to support exchange onboarding and new product launches.
 </li>
 <li>
 Contribute to system reliability and observability with proper logging, monitoring (Grafana, Prometheus).
 </li>
 <li>
 Develop comprehensive automated tests for production readiness.
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Minimum 4 years of hands-on backend or connectivity engineering experience.
 </li>
 <li>
 Proficiency in Golang is critical.
 </li>
 <li>
 Experience integrating with crypto or financial trading venues (CeFi or DeFi).
 </li>
 <li>
 Familiarity with WebSocket, REST, and FIX APIs.
 </li>
 <li>
 Background in high-performance distributed systems.
 </li>
 <li>
 Knowledge of cloud-native development (AWS/GCP), Docker, CI/CD.
 </li>
 <li>
 Nice to Have
 </li>
 <li>
 Experience in low-latency trading systems or crypto market makers.
 </li>
 <li>
 Prior work on Execution or Portfolio Management Systems.
 </li>
 <li>
 Familiarity with performance testing and debugging distributed environments.
 </li>
 <li>
 Exposure to DeFi protocols or streaming data infrastructure.
 
 
 
 </li>
 </ul>
 
 Why Join
 
 
 
 <ul>
 <li>
 Work on infrastructure used by the worlds leading financial institutions.
 </li>
 <li>
 Competitive compensation (PKR 750,000 - 900,000 per month)
 </li>
 <li>
 Help shape how crypto assets are traded at scale.
 </li>
 <li>
 Backed by leading global investors with a proven leadership team.
 
 </li>
 </ul>
</div>

Backend Engineer (Go)

NorthBay Solutions

<div>Job Title: Senior DevOps Engineer (AWS, Azure, GCP) 
Location: Lahore/ Karachi/ Islamabad (Hybrid) 
Experience: 7 &ndash; 10+ years
About the Role: 
We are looking for a Senior DevOps Engineer with extensive experience in AWS as the primary cloud platform, along with hands-on exposure to Azure and GCP. The ideal candidate will be responsible for designing, implementing, and managing cloud infrastructure, automation, and containerized environments to support scalable and reliable applications. This is a hybrid role, requiring collaboration with cross-functional teams across multiple locations.
Key Responsibilities:<ul><li>
Design, implement, and manage scalable, secure, and highly available infrastructure primarily on AWS.</li><li>
Build and maintain CI/CD pipelines, automation scripts, and infrastructure as code using Terraform.</li><li>
Manage Kubernetes clusters (EKS) and containerized applications for deployment, scaling, and monitoring.</li><li>
Provide hands-on experience with Azure and GCP cloud services as secondary platforms.</li><li>
Collaborate with development and QA teams to ensure smooth deployment of applications.</li><li>
Implement monitoring, logging, and alerting solutions for cloud infrastructure and applications.</li><li>
Conduct cloud cost optimization and security best practices reviews.</li><li>
Troubleshoot and resolve infrastructure, application, and cloud-related issues.</li><li>
Drive DevOps best practices and promote automation across the software delivery lifecycle.</li></ul>
Required Skills and Experience:<ul><li>
6 &ndash; 10+ years of overall experience in DevOps, Cloud, and Infrastructure.</li><li>
Strong expertise in AWS services including EC2, S3, RDS, Lambda, VPC, IAM, CloudFormation, and others.</li><li>
Hands-on experience with Terraform for infrastructure provisioning and management.</li><li>
Expertise in Kubernetes (EKS) for orchestration of containerized applications.</li><li>
Experience with CI/CD tools such as Jenkins, GitLab CI, GitHub Actions, or equivalent.</li><li>
Exposure to Azure and GCP cloud platforms.</li><li>
Strong scripting skills in Python, Bash, or PowerShell.</li><li>
Solid understanding of networking, security, and cloud architecture best practices.</li><li>
Familiarity with monitoring tools like Prometheus, Grafana, CloudWatch, or ELK Stack.</li><li>
Excellent problem-solving skills, communication skills, and ability to work in a hybrid team environment.</li></ul>
Preferred Qualifications:<ul><li>
AWS Certified Solutions Architect or DevOps Engineer certification.</li><li>
Experience in multi-cloud environments and hybrid cloud architectures.</li><li>
Experience in automation and orchestration tools beyond Terraform (Ansible, Chef, Puppet).</li></ul>
Why Join Us:<ul><li>
Work with a collaborative team on large-scale cloud solutions.</li><li>
Opportunity to work across multiple cloud platforms and cutting-edge technologies.</li><li>
Flexible hybrid work model in Karachi.</li></ul>
HH1o7qJv2S</div>

Senior DevOps Engineer (AWS, Azure, GCP)

FitMatch Consulting Group

Job Description &ndash; Senior DevOps Engineer (Azure Specialist)Position Title: Senior DevOps Engineer (Azure Specialist) Department: Technology / Infrastructure Reports To: Head of IT / CTO Location: Onsite &ndash; Lahore Job Type: Full-timeRole OverviewWe are looking for a highly experienced Senior DevOps Engineer with proven expertise in Microsoft Azure. The ideal candidate will be responsible for designing, implementing, and managing Azure-based infrastructure, CI/CD pipelines, and containerized applications. This role requires deep hands-on experience in Azure services, Kubernetes (AKS), Infrastructure as Code (IaC), and cloud security practices.As a senior member of the team, you will also provide leadership, mentor junior engineers, and collaborate with cross-functional teams to ensure secure, scalable, and highly available systems.Key Responsibilities<ul><li>Azure Cloud Infrastructure</li><li>Architect, deploy, and manage solutions on Microsoft Azure (VMs, App Services, Storage, Networking, Azure SQL, Functions).</li><li>Implement high availability, scalability, and disaster recovery strategies.</li><li>Optimize cloud usage to reduce costs while maintaining performance.</li><li>CI/CD &amp; Automation</li><li>Design, build, and manage CI/CD pipelines using Azure DevOps Pipelines, GitHub Actions, or Jenkins.</li><li>Automate infrastructure provisioning and application deployment with Terraform, ARM Templates, or Bicep.</li><li>Integrate testing, monitoring, and security scans into deployment workflows.</li><li>Containers &amp; Orchestration</li><li>Manage containerized workloads with Docker and Azure Kubernetes Service (AKS).</li><li>Implement and manage Helm charts for application packaging.</li><li>Configure monitoring and scaling for Kubernetes workloads.</li><li>Monitoring &amp; Security</li><li>Monitor infrastructure using Azure Monitor, Application Insights, and Log Analytics.</li><li>Implement RBAC, Azure AD integration, Key Vault, and Zero Trust security principles.</li><li>Handle incident response, vulnerability scanning, and compliance with SOC 2, ISO 27001.</li><li>Leadership &amp; Collaboration</li><li>Mentor and guide junior DevOps and Cloud Engineers.</li><li>Work closely with developers, QA, and product managers to streamline releases.</li><li>Contribute to long-term cloud strategy and DevOps best practices.</li></ul>Required Skills &amp; Qualifications<ul><li>Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, IT, or related field.</li><li>5+ years of DevOps experience, with at least 3+ years in Azure environments.</li><li>Expertise in:</li><li>Microsoft Azure services (App Services, AKS, Functions, Networking, IAM).</li><li>CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins).</li><li>Infrastructure as Code (Terraform, Bicep, ARM Templates, Ansible).</li><li>Containerization &amp; Kubernetes (AKS).</li><li>Strong knowledge of networking (DNS, VPN, Load Balancing, Firewalls).</li><li>Proficiency in scripting languages (PowerShell, Bash, Python).</li><li>Excellent troubleshooting and problem-solving skills.</li><li>Strong communication and leadership abilities.</li></ul>Preferred Certifications<ul><li>Microsoft Certified: Azure DevOps Engineer Expert</li><li>Microsoft Certified: Azure Solutions Architect Expert</li><li>Certified Kubernetes Administrator (CKA) or CKAD</li><li>HashiCorp Terraform Associate</li></ul>Performance Indicators<ul><li>Stability, scalability, and security of Azure infrastructure.</li><li>Efficiency and reliability of CI/CD pipelines.</li><li>Reduced downtime and optimized system performance.</li><li>Effective collaboration across teams.</li><li>Compliance with security and audit standards.</li></ul>What We Offer<ul><li>Competitive salary package with performance-based bonuses.</li><li>Professional growth through certifications and training support.</li><li>Opportunity to work with cutting-edge Azure &amp; DevOps technologies.</li><li>A collaborative, innovation-driven work culture.</li><li>Exposure to enterprise-scale projects.</li></ul>Job Type: Full-timeWork Location: In personJob Type: Full-timeWork Location: In person

Senior DevOps Engineer(Azure)

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1141 data infrastructure engineer jobs IN Lahore

Data Infrastructure Engineer

Data Infrastructure Engineer

Data Engineer

Cloudera Data Engineer

Backend Engineer (Go)

Senior DevOps Engineer (AWS, Azure, GCP)

Senior DevOps Engineer(Azure)