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cloud & ai solution engineer - data platform Jobs in Qatar

cloud & ai solution engineer - data platform

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data engineer

COZMALABS

We are looking for an experienced&#8239; Data Engineer&#8239;to join our team full-time. This role requires a strong background in building and optimizing data pipelines, with a focus on supporting AI-driven solutions. The candidate will work closely with software engineers to ensure reliable data flows for AI models and contribute to cloud-based data integration using Microsoft Azure.Key Responsibilities:<ul><li>Design, develop, and maintain scalable data pipelines and ETL processes to support AI-driven projects</li><li>Build and optimize data infrastructure to ensure efficient data management, processing, and storage in cloud environments (Azure)</li><li>Collaborate with AI engineers to facilitate data preparation for machine learning models and AI solutions</li><li>Ensure data pipelines are secure, reliable, and meet performance standards</li><li>Monitor and troubleshoot data pipeline performance to ensure timely and accurate data delivery</li><li>Implement data governance policies and ensure compliance with data security standards</li></ul>Required Qualifications:<ul><li>Proven experience as a Data Engineer, with a focus on building and maintaining complex data pipelines for AI projects</li><li>Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, SQL Server) and NoSQL databases (e.g., MongoDB)</li><li>Expertise in cloud-based data solutions, specifically Microsoft Azure (e.g., Azure Data Factory, Azure Synapse, Azure Databricks)</li><li>Experience with data integration tools and ETL frameworks (e.g., Apache Airflow)</li><li>Proficiency in at least one programming language for data manipulation (e.g., Python)</li><li>Knowledge of data warehousing solutions and best practices</li><li>Experience in working with data pipelines for AI or machine learning workflows</li><li>Strong problem-solving and analytical skills</li><li>Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field</li><li>Proficiency in English (written and spoken)</li></ul>Desirable Qualifications:<ul><li>Familiarity with machine learning models and data preprocessing for AI solutions</li><li>Knowledge of containerization tools (Docker, Kubernetes) for data pipeline deployments</li></ul>Job Type: Full-time

Data Engineer

Commercial Bank

<div>
 
 About Commercial Bank
 
 
 
 Commercial Bank , Founded in 1975 and headquartered in Doha , plays a vital role in Qatar&rsquo;s economic development through offering a range of personal, business, government, international and investment services. At Commercial Bank of Qatar, we believe in empowering our employees, providing them with opportunities for growth and professional development.
 
 
 By Joining us , you&rsquo;ll be part of workplace culture that fosters innovation, supports work-life balance, and encourages you to reach your full potential.
 
 
 Join us in shaping the future of banking!
 
 
 
 Job Summary
 
 
 
 Data Engineer is one of the key roles in a major initiative of Enterprise Data Fabric development which is a part of CBQ&rsquo;s Data Strategy and overall Digital Transformation. As a part of Data Governance and Engineering department Data Engineer will be implementing various data management systems such as Data Lake, RDM, Data Streaming, Metadata management which will be a part of the Enterprise Data Fabric. Data Engineer will also work closely with number of IT, PMO, Data and operations teams to understand their needs and ensure that the Enterprise Data Fabric contributes to overall data quality, availability, democratization and culture.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Participate in Data Management systems implementation projects: Data Lakehouse, Data Streaming, Metadata management, Reference Data Management
 </li>
 <li>
 Develop data pipelines to bring new data to Enterprise Data Fabric
 </li>
 <li>
 Ensure data pipelines are efficient, scalable, and maintainable
 </li>
 <li>
 Comply with data engineering and development best practices (CI/CD, Code Management, Testing, Knowledge Management, Documentation etc.)
 </li>
 <li>
 Ensure that all Data Policies are met within Enterprise Data Fabric.
 </li>
 <li>
 Ensure that implemented systems correspond with target Data Architecture
 </li>
 <li>
 Support Data teams (DQ, Data Governance, BI, Data Science) in achieving their goals
 </li>
 <li>
 Maintain agile delivery process based on one of frameworks: Kanban, Scrum
 </li>
 <li>
 Ensure that SLAs with data consumers and data sources are maintained
 </li>
 <li>
 Implement all necessary monitoring, alerting
 </li>
 <li>
 Facilitating collaboration between IT and wider Data team and supporting data science, BI and Data Excellence teams to ensure seamless integration and effective communication.
 
 
 </li>
 </ul>
 
 Key Competencies
 
 
 
 <ul>
 <li>
 Python (Advanced level)
 </li>
 <li>
 Airflow or Apache NiFi
 </li>
 <li>
 K8s (OpenShift), Docker
 </li>
 <li>
 RDBMS: MS SQL Server, PostgreSQL, Oracle
 </li>
 <li>
 ETL (at least one of): SSIS, Informatica PowerCenter, IBM Datastage, Pentaho
 </li>
 <li>
 SQL &ndash; Advanced user (Stored Procedures, Window functions, Temp Tables, Recursive Queries)
 </li>
 <li>
 Git (GitHub/GitLab)
 </li>
 <li>
 Kafka is a plus
 </li>
 <li>
 Object Storage (S3, GCS, ABS) is a plus
 </li>
 <li>
 Spark is a plus
 </li>
 <li>
 Experience with dbt is a plus
 </li>
 <li>
 Familiar with Data Warehousing (Star/Snowflake schemas) And Data Lake
 </li>
 <li>
 Agile methodologies (Kanban, Scrum)
 </li>
 <li>
 Strong problem-solving skills
 
 
 </li>
 </ul>
 
 
 Why Commercial Bank?
 
 
 
 
 <ul>
 <li>
 Best Performing Bank in Qatar in The Banker&rsquo;s prestigious Top 1000 World Banks Rankings 2025.
 </li>
 <li>
 Best Digital Bank in the Middle East 2024 by World Finance and Best Mobile Banking App in the Middle East 2024 by Global Finance.
 </li>
 <li>
 An Innovation-Driven, Digital-First Environment where employees work with the latest tools and technologies to redefine banking
 </li>
 <li>
 Opportunities for Global Partnerships &amp; International Exposure, connecting employees with global networks and perspectives.
 </li>
 <li>
 A focus on Employee Well-being &amp; Work-Life Balance, ensuring a healthy and supportive environment for all team members
 </li>
 <li>
 Competitive Compensation &amp; Benefits that ensure our employees are rewarded for their dedication and performance
 </li>
 <li>
 A strong Commitment to Diversity, Equity &amp; Inclusion, fostering a culture that values every individual&rsquo;s unique perspective
 
 
 </li>
 </ul>
 At Commercial Bank, we don&rsquo;t just offer careers, We shape futures by pioneering digital transformation in Qatar&rsquo;s banking sector, blending digital-first approach to redefine banking through innovative solutions.
 
 
 
 Disclaimer
 
 
 
 We appreciate your interest in joining CBQ! Please note that only selected candidates will be contacted for further steps in the hiring process. This job posting is for informational purposes only, and CBQ reserves the right to modify, withdraw, or close it at any time without notice.
</div>

INFRA ASSURE

Job SummaryWe are seeking a highly experienced Generative AI &amp; Data Science Engineer to lead the design, development, and deployment of cutting-edge AI-driven solutions. The ideal candidate will have deep technical expertise in Azure OpenAI, Azure AI Services, machine learning, and advanced analytics, with a proven track record of building intelligent, scalable systems for enterprise and financial use cases.Key Responsibilities<ul><li>Design and implement Generative AI applications leveraging Azure OpenAI and Azure AI Foundry services.</li><li>Develop and integrate RAG (Retrieval-Augmented Generation) pipelines using vector databases, text vectorization, and embedding models.</li><li>Build and optimize end-to-end machine learning pipelines including data ingestion, preprocessing, model training, deployment, and monitoring.</li><li>Apply Agentic frameworks such as LangChain, CrewAI, A2A, or similar to build multi-agent reasoning systems.</li><li>Implement predictive analytics and ML models focused on financial services, including risk modeling, forecasting, anomaly detection, and data-driven decision support.</li><li>Collaborate closely with business stakeholders to translate analytical insights into actionable strategies.</li><li>Ensure scalability, performance, and cost-efficiency of deployed AI solutions within Azure Cloud environments.</li><li>Research and evaluate emerging AI tools, LLM-based frameworks, and MLOps best practices.</li><li>Lead and mentor junior data scientists and AI engineers in solution development and architectural design.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>What is your native language?</li></ul>Experience:<ul><li>Gen Al &amp; Data Science Engineer: 10 years (Preferred)</li></ul>

Gen Al & Data Science Engineer

About the Role:We are seeking a highly experienced Senior Data Governance Engineer with a strong background in implementing and managing enterprise-wide Data Governance platforms. The ideal candidate will have hands-on experience with tools such as Informatica, Collibra, Alation, Atlan, Select Star, and possess an in-depth understanding of data governance frameworks, data quality management, and metadata-driven architecture.You will play a key role in establishing, optimizing, and enforcing data governance policies, standards, and frameworks across the organization, ensuring high data integrity, compliance, and accessibility for critical business functions, particularly in financial services and asset management domains.Key Responsibilities:<ul><li>Design, implement, and maintain enterprise-wide Data Governance frameworks and operating models.</li><li>Lead the deployment, configuration, and integration of Data Governance platforms such as Informatica, Collibra, Alation, Atlan, or Select Star.</li><li>Implement and manage Data Catalog, Data Quality, and Data Lineage modules.</li><li>Define and enforce data standards, policies, and procedures to ensure compliance with internal and external regulatory requirements (GDPR, BCBS 239, etc.).</li><li>Collaborate with business stakeholders, data stewards, and technical teams to drive consistent data definitions and metadata management practices.</li><li>Monitor and report on data quality KPIs, governance maturity, and compliance levels.</li><li>Support the design and execution of data quality improvement initiatives.</li><li>Serve as a subject matter expert (SME) on data governance tools and best practices.</li><li>Mentor and guide junior data governance or data management team members.</li><li>(Bonus) Lead or participate in Informatica Cloud data governance solution implementations.</li></ul>Qualifications &amp; Experience:<ul><li>10+ years of professional experience in Data Management / Data Governance.</li><li>Minimum 3 years of hands-on experience implementing or managing enterprise Data Governance tools (e.g., Informatica, Collibra, Alation, Atlan, Select Star).</li><li>Proven track record in configuring and maintaining Data Catalog, Data Quality, and Data Lineage modules.</li><li>Strong understanding of metadata management, master data management (MDM), and data privacy frameworks.</li><li>STEM degree (Computer Science, Information Systems, Engineering, or related field) preferred.</li><li>Experience in asset management or investment banking is a strong advantage.</li><li>Excellent communication and stakeholder management skills.</li><li>Knowledge of Informatica Cloud implementation is a plus.</li></ul>Key Skills:<ul><li>Data Governance Platforms (Informatica, Collibra, Atlan, Alation, Select Star)</li><li>Data Catalog, Data Quality, and Data Lineage Implementation</li><li>Metadata and Master Data Management</li><li>Regulatory Compliance (GDPR, BCBS 239)</li><li>Financial Services Data Architecture</li><li>Data Governance Frameworks (DAMA-DMBOK, DCAM)</li><li>Cloud Experience (preferably Azure or AWS)</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>What is your native language?</li><li>Have you implemented enterprise-wide Data Governance platforms?</li><li>Do you have hands-on experience implementing or configuring Informatica Cloud?</li></ul>Experience:<ul><li>data management or governance: 10 years (Preferred)</li></ul>

Senior Data Governance Engineer

Mindstream

The Control Room Systems/Data Center Engineer &ndash; Level 2 will plan, prepare, design, implement, operate, and optimize data networks to support Roads O&amp;M operations. The role involves working closely with system integrators, managing implementation activities, and ensuring high network availability and performance.Key Responsibilities<ul><li>Manage and execute all phases of the network lifecycle, including Planning, Design, Implementation, Operation, and Optimization (PDIOO).</li><li>Collaborate with stakeholders to develop architectural frameworks that align IT infrastructure with business goals.</li><li>Oversee ICT projects, integrations, and focus groups to reduce redundancy, optimize costs, and enhance system synergy.</li><li>Coordinate with business architects to translate strategic objectives into actionable designs and roadmaps.</li><li>Create future vision architectures to accelerate service delivery and meet cost and risk reduction objectives.</li><li>Lead and support Regional Network Management Control Room operations, upgrades, and enhancements.</li><li>Provide technical support for complex network upgrades and migration activities.</li><li>Conduct root cause analysis and resolve advanced network issues.</li><li>Mentor and guide junior engineers while providing escalation support for advanced technologies.</li><li>Collaborate with Cisco TAC for escalated troubleshooting and resolution.</li></ul>Qualifications &amp; ExperienceEssential:<ul><li>3&ndash;5 years of experience in a similar role.</li><li>CCIE Data Center certification (mandatory).</li><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science or Electronics &amp; Communication Engineering.</li><li>Proficiency in managing and configuring medium to large networks.</li><li>Strong understanding of LAN, SAN, NAS, and Cybersecurity environments.</li><li>Valid CCNA Routing &amp; Switching certification.</li></ul>Desirable:<ul><li>Project Management certification (PRINCE2, PMP, or equivalent).</li><li>Experience in Asset Affairs business functions.</li><li>Familiarity with VMware vSphere and virtualization technologies.</li><li>Experience with voice systems (advantageous but not mandatory).</li></ul>Technical Expertise<ul><li>Skilled in Cisco UCS servers (Blade/Rackmount) design, implementation, and troubleshooting.</li><li>Experience deploying virtual machines/appliances on vCenter.</li><li>Configuration experience with TACACS/RADIUS, DNS, DHCP, and other IP services.</li><li>Expertise with EMC SAN (VNX), including SAN switch zoning and server configuration.</li><li>Proficient in EMC NAS (Isilon) and Backup Products (DataDomain, Avamar, RecoverPoint).</li><li>Administration of DNS servers, LDAP (Active Directory), and Windows Server (2012/2016) environments.</li><li>Hands-on experience managing enterprise-scale antivirus solutions (e.g., Sophos).</li><li>Capable of performing L2/L3 configurations on network devices.</li></ul>Behavioral &amp; Personal Attributes<ul><li>Strong communication, presentation, and technical documentation skills.</li><li>Excellent teamwork, leadership, and project management capabilities.</li><li>Analytical thinker with the ability to translate complex issues into actionable solutions.</li><li>Highly motivated, proactive, and results-driven with minimal supervision.</li><li>Customer-focused with a strong commitment to service excellence.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>How many years of experience do you have in a similar role (Data Center / Network Engineering)?</li><li>Do you hold a valid CCIE Data Center certification?</li><li>Do you hold a CCNA (Routing &amp; Switching) certification?</li><li>Please list the main network technologies and tools you have hands-on experience with (e.g., Cisco UCS, VMware vSphere, EMC SAN/NAS, etc.).</li><li>Have you managed or worked in a Network Operations Control Room environment before?</li><li>Do you have experience in network upgrades, migration, and troubleshooting at L2/L3 level?</li><li>What is your current and expected salary?</li><li>What is your notice period or availability to join?</li></ul>

Data Center Engineer -Roads Operations & Maintenance (O&M)

Microsoft

<div>
 Are you insatiably curious, deeply passionate about the realm of databases and analytics, and ready to tackle complex challenges in a dynamic environment in the era of AI? If so, we invite you to join our team as a Cloud &amp; AI Solution Engineer in Data Platform for
 
 Enterprise customers
 
 at Microsoft. Here, you'll be at the forefront of innovation, working on cutting-edge projects that leverage the latest technologies to drive meaningful impact. Join us and be part of a team that thrives on collaboration, creativity, and continuous learning.
 
 
 Databases &amp; Analytics is a growth opportunity for Microsoft Azure, as well as its partners and customers. It includes a rich portfolio of products including IaaS and PaaS services on the Azure Platform in the age of AI. These technologies empower customers to build, deploy, and manage database and analytics applications in a cloud-native way.
 
 
 As an
 
 Data Platform
 
 
 Solution Engineer
 
 , you will play a pivotal role in helping enterprises unlock the full potential of Microsoft&rsquo;s cloud database and analytics stack across every stage of deployment. You&rsquo;ll collaborate closely with engineering leaders and platform teams to accelerate the Fabric Data Platform, including Azure Databases and Analytics, through hands-on engagements like Proof of Concepts, hackathons, and architecture workshops. This opportunity will allow you to accelerate your career growth, develop deep business acumen, hone your technical skills, and become adept at solution design and deployment. You&rsquo;ll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you&rsquo;ll help customers modernize their data platform and realize the full value of Microsoft&rsquo;s platform, all while enjoying flexible work opportunities.
 
 
 As a trusted technical advisor, you&rsquo;ll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you&rsquo;ll help customers modernize their data platform and realize the full value of Microsoft&rsquo;s platform.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
 </li>
 <li>
 Lead hands-on engagements&mdash;hackathons and architecture workshops&mdash;to accelerate adoption of Microsoft&rsquo;s cloud platforms.
 </li>
 <li>
 Build trusted relationships with platform leads, co-designing secure, scalable architectures and solutions
 </li>
 <li>
 Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.
 </li>
 <li>
 Maintain deep expertise in Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL.
 </li>
 <li>
 Maintain and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop &amp; BI solutions.
 </li>
 <li>
 Represent Microsoft through thought leadership in cloud Database &amp; Analytics communities and customer forums
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications (RQs):
 
 
 
 <ul>
 <li>
 5+ years technical pre-sales or technical consulting experience
 </li>
 <ul>
 <li>
 OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience
 </li>
 <li>
 OR Master's Degree in Computer Science, Information Technology, or related field AND 3+ year(s) technical pre-sales or technical consulting experience
 </li>
 <li>
 OR equivalent experience
 </li>
 </ul>
 <li>
 Expert on Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration &amp; modernize and creating new AI apps.
 </li>
 <li>
 Expert on Azure Analytics (Fabric, Azure Databricks, Purview) and competitors (BigQuery, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligent, and reporting using integrated Data Security &amp; Governance.
 </li>
 <li>
 Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes.
 
 </li>
 </ul>
 
 Preferred Qualifications (PQs)
 
 
 
 <ul>
 <li>
 6+ years technical pre-sales, technical consulting, or technology delivery, or related experience
 </li>
 <ul>
 <li>
 OR equivalent experience
 </li>
 </ul>
 <li>
 4+ years experience with cloud and hybrid, or on premises infrastructure, architecture designs, migrations, industry standards, and/or technology management
 </li>
 <li>
 Proficient on data warehouse &amp; big data migration including on-prem appliance (Teradata, Netezza, Oracle), Hadoop (Cloudera, Hortonworks) and Azure Synapse Gen2.
 
 </li>
 </ul>
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>

Cloud & AI Solution Engineer - Data Platform

Agoda

<div>
 
 About Agoda
 
 
 
 Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
 
 
 
 Our Purpose -
 
 
 Bridging the World Through Travel
 
 
 
 We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.
 
 
 We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
 
 
 Agoda is an online travel booking platform for accommodation, flights, and more. We build and deploy cutting edge technology that connects travelers with more than 2.5 million accommodations globally. Based in Asia and part of Booking Holdings, our 4,000+ talents coming from 90+ different nationalities foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enabling our customers to experience the world.
 
 
 
 Get to Know Our Team
 
 
 
 The Engineering department oversees all Agoda&rsquo;s ML and software related requirements. Our goal is to enable and increase Agoda&rsquo;s business through creative approaches and the implementation of powerful resources such as operational and analytical databases, ML driven solutions, queue systems and data monitoring tools. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company&rsquo;s culture of diversity and experimentation. The role the engineering team plays at Agoda is critical as business users, product managers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the ML engineering squad, but also the reward. We work across structured and non-structured data at scale. For example, our current ML models process millions of images every day to try and enhance the experience that our users get from our app.
 
 
 
 Why Agoda Engineering Team (ML role)?
 
 
 
 Our engineering teams are at the intersection of business analytics, ml engineering, data warehousing and software engineering. Our job involves dealing with distributed systems, stream processing, ml modeling and computation at tens of PB Scale. We focus on software engineering related to data replication, storage, centralized computation, and Data API&rsquo;s. By providing our users with ML products/tools, shared frameworks, and ML services, we enable our company to validate strategic decisions, make smarter choices, and react to the fast-changing world. We are a small but passionate team with people from different nationalities working together on a single goal.
 
 
 
 In this Role, you will get to:
 
 
 
 <ul>
 <li>
 Lead the team technically in improving scalability, stability, accuracy, speed and efficiency of our existing ML systems and processes.
 </li>
 <li>
 Build, administer and scale ML processing pipelines.
 </li>
 <li>
 Be comfortable navigating the following technology stack: Python3, Pyspark, scripting (Bash/Python), Hadoop, SQL, S3 etc.
 </li>
 <li>
 Should be able to understand internals of ML models such as Random Forest, CNN, Regression models, etc
 </li>
 <li>
 Design, build, test and deploy new libraries, frameworks or full systems for our core systems while keeping to the highest standards of testing and code quality.
 </li>
 <li>
 Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis tasks.
 </li>
 <li>
 We believe in end-to-end ownership; this role will involve taking ML models to production at a scale.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll need to Succeed:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science /information systems/engineering/related field
 </li>
 <li>
 8+ years of experience in software engineering with a minimum of 4+ years in ML
 </li>
 <li>
 Good experience in Pyspark
 </li>
 <li>
 Expert level understanding of Python with design patterns and object-oriented programming.
 </li>
 <li>
 Experience debugging and reasoning about production issues is desirable.
 </li>
 <li>
 A good understanding of data architecture principles preferred.
 </li>
 <li>
 Any other experience with Big Data technologies / tools
 </li>
 <li>
 SQL experience
 </li>
 <li>
 Analytical problem-solving capabilities &amp; experience.
 </li>
 <li>
 Systems administration skills in Linux
 </li>
 <li>
 A strong engineering driven mindset will be required to succeed in this role.
 
 
 </li>
 </ul>
 
 It&rsquo;s great if you have:
 
 
 
 <ul>
 <li>
 Good understanding of Hadoop ecosystems
 </li>
 <li>
 Experience working with Open-source products
 </li>
 <li>
 Experience with Scala development
 </li>
 <li>
 Working in an agile environment using test driven methodologies
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Hybrid Working Model
 </li>
 <li>
 WFH Set Up Allowance
 </li>
 <li>
 30 Days of Remote Working from anywhere globally every year
 </li>
 <li>
 Employee discount for accommodation globally
 </li>
 <li>
 Global team of 90+ nationalities
 </li>
 <li>
 40+ offices and 25+ countries
 </li>
 <li>
 Annual CSR / Volunteer Time off
 </li>
 <li>
 Benevity Subscription for employee donations
 </li>
 <li>
 Volunteering opportunities globally
 </li>
 <li>
 Free Headspace subscription
 </li>
 <li>
 Free Odilo &amp; Udemy subscriptions
 </li>
 <li>
 Access to Employee Assistance Program (third party for personal and workplace support)
 </li>
 <li>
 Enhanced Parental Leave
 </li>
 <li>
 Life, TPD &amp; Accident Insurance
 
 
 </li>
 </ul>
 #telaviv #jerusalem #IT #ENG #4 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #budapest #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #osaka #malta #amsterdam #oslo #warsaw #krakow #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4 #bangalore #delhi #hyderabad #pune #singapore #beijing #shanghai #shenzhen #tokyo #seoul #hongkong #taipei #kualalumpur #jakarta #hochiminh #hochiminhcity #manila #instanbul #makati #dubai #riyadh #gurgaon #noida
 
 
 
 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
 <li>
 Facebook https://www.facebook.com/agodacareers/
 </li>
 <li>
 LinkedIn https://www.linkedin.com/company/agoda
 </li>
 <li>
 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 
 Disclaimer
 
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 
 
</div>

Staff Machine Learning Engineer (India based, relocation provided)

Explore 1369+ Data engineer in Qatar this November. Find roles across top companies and apply now to boost your career.

1369 data engineer jobs IN Qatar

Data Engineer

Data Engineer

Gen Al & Data Science Engineer

Senior Data Governance Engineer

Data Center Engineer -Roads Operations & Maintenance (O&M)

Cloud & AI Solution Engineer - Data Platform

Staff Machine Learning Engineer (India based, relocation provided)