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ai software engineer / llm engineer

automation engineer, reliability maintenance engineering Jobs in Riyadh

senior lead software engineer

JODAYN

<div><p>Jodayn is seeking a highly skilled Senior AI Product Engineer to lead the design, development, and deployment of enterprise-grade artificial intelligence solutions and intelligent automation platforms.</p><p>
The successful candidate will play a critical role in developing scalable AI-powered products and reusable enterprise AI services that support digital transformation, governance automation, proposal evaluation, intelligent document processing, and enterprise workflow optimisation.</p><p>
This role requires a strong engineering mindset combined with hands-on experience in modern AI frameworks, large language model integration, AI orchestration, backend engineering, and enterprise solution development.</p><p>
The ideal candidate must be capable of independently designing and delivering production-ready AI systems in fast-paced enterprise environments.</p><b><br>
Requirements</b><p><br>
AI Platform Engineering</p><ul><li>
Design, develop, and maintain scalable enterprise AI platforms and intelligent automation solutions</li><li>
Build modular and reusable AI services and APIs</li><li>
Develop AI-powered workflow automation systems and intelligent orchestration pipelines</li><li>
Design and implement scalable backend architectures supporting AI workloads</li></ul><p></p><p>
Agentic AI Development</p><ul><li>
Build autonomous and semi-autonomous AI agents</li><li>
Develop multi-agent orchestration workflows and task delegation systems</li><li>
Implement memory management and contextual reasoning capabilities</li><li>
Integrate AI systems with external tools, APIs, and enterprise applications</li></ul><p></p><p>
Large Language Model Integration</p><ul><li>
Integrate and optimise large language model services including Claude, OpenAI, and open-source models</li><li>
Develop prompt orchestration pipelines and retrieval-augmented generation architectures</li><li>
Implement vector database integration and semantic search capabilities</li><li>
Optimise model performance, response quality, and operational efficiency</li></ul><p></p><p>
Enterprise System Integration</p><ul><li>
Integrate AI platforms with enterprise systems, collaboration tools, and document repositories</li><li>
Develop secure API integration patterns</li><li>
Support authentication and identity integration requirements</li><li>
Build AI-enabled enterprise workflow capabilities</li></ul><p></p><p>
Proposal &amp; Compliance Automation</p><ul><li>
Develop intelligent proposal generation and evaluation systems</li><li>
Build compliance validation and document inspection workflows</li><li>
Implement AI-assisted scoring and recommendation engines</li><li>
Support enterprise governance automation initiatives</li></ul><p></p><p>
Infrastructure &amp; Deployment</p><ul><li>
Deploy AI applications in cloud, hybrid, and on-premise environments</li><li>
Configure logging, observability, monitoring, and operational diagnostics</li><li>
Support containerisation and deployment automation practices</li><li>
Optimise infrastructure scalability and operational cost efficiency</li></ul><p></p><p><br>
Required Qualifications</p><p>
Education</p><ul><li>
Bachelor&rsquo;s degree in Computer Science, Software Engineering, Artificial Intelligence, or related field</li><li>
Master&rsquo;s degree is preferred but not mandatory</li></ul><p></p><p>
Experience</p><ul><li>
Minimum 7 years of software engineering experience</li><li>
Minimum 3 years practical experience developing AI-powered applications</li><li>
Proven experience building and deploying production-grade AI systems</li><li>
Experience working in enterprise or regulated environments preferred</li></ul><p></p><p>
Required Technical Skills</p><p>
Programming &amp; Backend Development</p><ul><li>
Python</li><li>
FastAPI or equivalent backend frameworks</li><li>
RESTful APIs</li><li>
PostgreSQL or equivalent databases</li><li>
Git and version control systems</li></ul><p>
AI Technologies</p><ul><li>
Claude APIs</li><li>
OpenAI APIs</li><li>
LangGraph</li><li>
LangChain</li><li>
Retrieval-Augmented Generation</li><li>
Vector databases</li><li>
Prompt orchestration</li><li>
AI workflow automation</li></ul><p>
Frontend &amp; Integration</p><ul><li>
React or Next.js</li><li>
API integration</li><li>
Authentication and access control concepts</li></ul><p>
Infrastructure &amp; DevOps</p><ul><li>
Docker</li><li>
Linux environments</li><li>
CI/CD pipelines</li><li>
Cloud deployment concepts</li></ul><p>
Preferred Skills</p><ul><li>
Experience with enterprise AI governance solutions</li><li>
Experience with intelligent document processing systems</li><li>
Experience using AI-assisted development tools</li><li>
Exposure to multi-agent systems and orchestration frameworks</li><li>
Familiarity with enterprise architecture concepts</li></ul><p></p><p><br>
Core Competencies</p><ul><li>
Strong analytical and problem-solving skills</li><li>
Ability to independently deliver complex technical solutions</li><li>
Strong software design capability</li><li>
Fast execution and delivery orientation</li><li>
Excellent communication and documentation skills</li><li>
Ability to work in fast-paced enterprise environments</li></ul></div><p></p>

Senior AI Product Engineer

Adree

<div><p>The Senior DevOps Engineer will support Adree&rsquo;s product development and platform automation initiatives by applying technical and analytical expertise to communicate the value of secure, scalable digital solutions. The role bridges infrastructure automation with seamless product delivery, ensuring enterprise-grade reliability, standardized deployment paths, and full auditability through CI/CD, GitOps, automated testing gates, and configuration management.</p><p>
</p>Key Roles and Responsibilities<ul><li>
Engage with clients and stakeholders to gather platform requirements and understand digital transformation and automation goals.</li><li>
Deliver presentations and documentation that demonstrate CI/CD capabilities, including:
</li><li><ul><li>Agent pool management</li><li>
Environment provisioning</li><li>
Enterprise pipeline design</li></ul></li><li>
Support product and engineering teams by creating reusable pipeline templates and secure shared libraries in <b>Azure DevOps Server</b>.</li><li>
Provide DevOps expertise across the product lifecycle to:
</li><li><ul><li>Enforce complex branching strategies</li><li>
Optimize build runner performance</li><li>
Maintain Linux-based runner systems</li></ul></li><li>
Collaborate with cross-functional teams (Security and QA) to:
</li><li><ul><li>Manage 3rd-party libraries</li><li>
Integrate <b>OpenText security tooling (Fortify SCA)</b></li><li>
Embed automated testing automation frameworks</li></ul></li><li>
Stay current with industry trends in containerization, automation workflows, and infrastructure delivery mechanisms to position solutions effectively.</li><li>
Conduct internal and client workshops to enable <b>GitOps delivery</b> and workload promotion using <b>Argo CD</b> to <b>OpenShift/Kubernetes</b> platforms.</li><li>
Participate in Agile development and release processes by integrating monitoring hooks and driving production deployment patterns, including:
</li><li><ul><li>AppDynamics / BMC / Azure Monitoring</li></ul></li></ul><br>
<b>
Requirements</b><br>
<br>
Education<ul><li>
Bachelor&rsquo;s degree in <b>Computer Science</b>, <b>Software Engineering</b>, <b>Information Technology</b>, or a related technical field.</li></ul><p>
</p>Experience<ul><li><b>
6&ndash;10+ years</b> of professional experience in:
</li><li><ul><li>DevOps</li><li>
Site Reliability Engineering (SRE)</li><li>
Build &amp; Release automation in enterprise environments
</li></ul></li><li>Proven, hands-on production delivery exposure (e.g., scaling live environments, not only sandbox/testing environments).</li><li>
Experience in <b>government</b>, heavily regulated, or complex enterprise sectors is highly preferred.</li></ul><p>
</p>Skills &amp; Competencies (Technical &amp; Analytical + Soft)<p>
</p><ul><li>Deep expertise in:
</li><li><ul><li>CI/CD pipeline engineering and secure pipeline patterns</li><li>
Agent pool configuration</li><li>
Advanced branching strategies</li></ul></li><li>
Strong hands-on containerization and orchestration experience:
</li><li><ul><li>Docker</li><li>
Kubernetes</li><li>
Red Hat OpenShift</li></ul></li><li>
Practical infrastructure automation skills:
</li><li><ul><li><b>Infrastructure-as-Code (Terraform)</b></li><li><b>
Configuration management (Ansible)</b></li><li>
Linux administration and systems scripting</li></ul></li><li>
Familiarity with enterprise artifact and dependency management:
</li><li><ul><li><b>JFrog Artifactory</b></li><li>
Binary artifact and 3rd-party library handling</li></ul></li><li>
Analytical capability to implement secure application pipelines, including:
</li><li><ul><li>Fortify SCA</li><li>
HashiCorp Vault secrets</li><li>
Sigstore / SecurEnvoy MFA verification setups</li></ul></li><li>
Strong soft skills:
</li><li><ul><li>Excellent communication</li><li>
Coaching mindset</li><li>
Cross-team collaboration (Developers, Security, QA)</li><li>
High ownership and accountability</li></ul></li></ul><p>
</p>Experience Summary (Must-Have Themes)<p>
</p><ul><li>Enterprise-grade CI/CD template design and multi-agent pool management</li><li>
Core infrastructure automation using IaC and configuration management</li><li>
GitOps continuous delivery execution into live production</li><li>
CI/CD + automation testing frameworks integrated with OpenText security validation</li><li>
Third-party library compliance management and secure artifact storage</li><li>
Production-level application profiling and monitoring hook setups</li><li>
Documentation authorship</li></ul><p>
</p>Additional Notes<ul><li>
Travel for client-facing activities</li></ul><p>
</p>Job Location<ul><li><b>
HQ</b></li></ul></div>

Devops Engineer, Senior

McKinsey & Company

<div><div><div><div><div><div><div>Job ID: 108198</div></div></div></div><div></div><div><ul><div>
Riyadh</div></ul></div><div></div><div><div><div><br>
</div></div></div></div><div><p>
Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You&rsquo;ve come to the right place.</p><div><p>
YOUR IMPACT</p><div><div><p>
As a Principal Engineer I, you will lead development teams to design and deliver enterprise-grade software solutions while shaping clients' tech strategies and mentoring their teams.</p><p></p><p>
Your role offers the opportunity to work across industries, influence C-level decisions, and become a leading expert in cutting-edge technologies. You will work hands-on to architect, design, and deliver enterprise-grade software solutions while mentoring client teams to adopt best practices.</p><p></p><p>
Your role will involve leading multiple development teams, defining short- and long-term technology strategies, and partnering with cross-functional teams to solve complex business challenges. You will also establish metrics and KPIs to drive alignment and ensure the success of engineering-powered solutions.</p><p></p><p>
Your work will help clients achieve their goals while shaping their technological ecosystems and engineering cultures. By working directly with C-level leaders, you will influence strategic decisions and deliver impact beyond the products you build. You&rsquo;ll also work across a variety of industries and technologies, gaining new insights and expertise with every project.</p><p></p><p>
You will lead the design and delivery of innovative technology solutions that transform businesses across industries. Based in one of our global locations, you will be part of a multidisciplinary group of software engineers, Agile coaches, designers, and technologists passionate about creating industry-shaping products and tools.</p><p></p><p>
Your role offers unparalleled opportunities for growth and impact. At McKinsey, you&rsquo;ll have access to C-level leaders eager to hear your expertise, the chance to work on diverse projects, and the resources to become a leading expert in your field. Supported by a collaborative and innovative team, you&rsquo;ll make a lasting impact on clients, industries, and the future of technology.</p></div></div></div><div><p>
YOUR GROWTH</p><div><p>
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.</p><p></p><p>
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.</p><p></p><p>
When you join us, you will have:</p><p></p><div><ul><li>
Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.</li><li>
A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.</li><li>
Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.</li><li>
World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.</li></ul></div></div></div></div></div><div><div><div><p>
YOUR QUALIFICATIONS AND SKILLS</p><div><div><div><ul><p>
Undergraduate or master&rsquo;s degree; or equivalent experience</p><p>
8+ years of experience in software development and architecture with a demonstrated track record of successfully understanding the business requirements and designing realistic and effective solutions</p><p>
Active in the tech community (e.g. contributing to open-source projects, speaking at conferences, blogging, etc.) and experience working collaboratively with technical and non-technical team members and stakeholders</p><p>
Demonstrated knowledge and hands-on experience across the full application stack with some of the following languages/frameworks: JavaScript, TypeScript, React, Angular, Vue, jQuery, Java, Sprint, C#, .NET, Node.js, SQL, MySQL, SQL Server, MongoDB, cloud-native databases, AWS, Azure, GCP, Jenkins, Docker, Circle CI, Travis Engineering practice experience such as code refactoring, design patterns, design-driven development, continuous integration, building highly scalable applications, application security</p><p>
Experience leading in Agile teams, including coaching and modeling Agile mindsets as part of sprint ceremonies, work definition and building developer capabilities</p><p>
Experience writing unit tests with major frameworks (e.g., Karma, JUnit, NUnit, MSTest) and practicing test-driven development</p><p>
Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment</p><p>
Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust your style to suit different perspectives and seniority levels</p></ul></div></div></div></div></div></div><div><div><div><div>
Please review the additional requirements regarding essential job functions of McKinsey colleagues.</div>
<div>Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.</div></div></div></div></div>

Principal Software Engineer - QuantumBlack, AI by McKinsey

TAWANTECH

<div>Job Summary<p>
We are seeking a highly skilled and motivated Senior Data Engineer to design, develop, and optimize scalable data platforms and pipelines within the banking and financial services domain. The ideal candidate will have strong expertise in Python, SQL, big data technologies, and cloud-based data ecosystems. You will be responsible for building robust, secure, and scalable data solutions that support regulatory reporting, risk management, customer analytics, and business intelligence initiatives.</p>
Key Responsibilities<ul><li>
Design, develop, and maintain scalable ETL/ELT pipelines for processing large volumes of banking and financial data.</li><li>
Build and optimize data workflows using Apache Spark and Apache Airflow.</li><li>
Design and implement Data Warehouse and Data Lake architectures to support enterprise banking analytics and reporting requirements.</li><li>
Develop and maintain high-performance data models for transactional, customer, risk, and regulatory data.</li><li>
Collaborate with business stakeholders, data analysts, risk teams, and compliance teams to deliver data-driven solutions.</li><li>
Ensure data quality, governance, security, and regulatory compliance across data platforms.</li><li>
Implement monitoring, troubleshooting, and performance tuning for data pipelines and processing frameworks.</li><li>
Leverage cloud platforms or Cloudera ecosystem technologies to build and manage modern data infrastructure.</li><li>
Drive CI/CD implementation and DataOps best practices to improve deployment efficiency and operational reliability.</li><li>
Support regulatory reporting, audit requirements, and data lineage initiatives.</li><li>
Mentor junior engineers and contribute to technical architecture and best practices.</li></ul><br>
<b>
Requirements</b><br>
<br>
Required Qualifications<ul><li>
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.</li><li>
4+ years of hands-on experience in Data Engineering.</li><li>
Strong programming skills in Python and advanced SQL.</li><li>
Experience with Apache Spark for large-scale data processing.</li><li>
Experience with Apache Airflow for workflow orchestration and scheduling.</li><li>
Solid understanding of Data Warehouse and Data Lake architectures.</li><li>
Proven experience building and maintaining ETL/ELT pipelines.</li><li>
Experience working with cloud platforms (AWS, Azure, or GCP) or the Cloudera ecosystem.</li><li>
Strong knowledge of data modeling techniques and performance optimization strategies.</li><li>
Experience implementing CI/CD pipelines and DataOps methodologies.</li><li>
Banking or Financial Services domain experience with exposure to financial data, regulatory reporting, risk, compliance, or customer analytics.</li><li>
Excellent problem-solving, analytical, and communication skills.</li></ul>
Preferred Qualifications<ul><li>
Experience with banking data domains such as Core Banking, Payments, Lending, Treasury, Risk, AML, KYC, or Regulatory Reporting.</li><li>
Knowledge of financial data governance, security, and compliance standards.</li><li>
Experience with real-time and batch data processing in highly regulated environments.</li><li>
Familiarity with containerization technologies such as Docker and Kubernetes.</li><li>
Experience with data lineage, metadata management, and data quality frameworks.</li></ul></div>

Senior Data Engineer

Talent 360

<div><p><b>About Us</b></p><p><br>
We are building the next-generation Office of the CFO that simplifies finance for all businesses.</p><p><br>
SiFi is a corporate expense management platform designed to empower accounting teams with seamless control over corporate spending. Our platform allows companies to issue cards with specific spending restrictions, ensuring funds are used efficiently and only for approved expenses.</p><p><br>
As we scale, trusted data becomes core infrastructure powering financial correctness, operational visibility, and AI-powered automation.</p><p><b><br>
About the Role</b></p><p><br>
We are looking for a Senior Data Engineer to help define and scale the foundation of SiFi&rsquo;s data platform.</p><p><br>
You will be part of the Data &amp; AI team and serve as a key partner to Finance, Product, Engineering, Operations, and Compliance. Your primary responsibility will be to design and own our data platform, modeling standards, and AI-ready infrastructure, ensuring that metrics are accurate, scalable, and trusted across the organization.</p><p><br>
This is a high-ownership role focused on building financial data infrastructure from first principles.</p><p><br>
This role is based in Saudi Arabia (Relocation).</p><p><b><br>
What You Will Own</b></p><p><b><br>
Data Modeling and Standards</b></p><br>
<ul><li>
Define and maintain scalable data models in SQL<br>
</li><li>
Establish structured warehouse layers and modeling best practices<br>
</li><li>
Own KPI definitions and ensure a single source of truth<br>
</li><li>
Ensure financial correctness and metric consistency</li></ul><p><b><br>
Warehouse Architecture</b></p><br>
<ul><li>
Design and evolve our cloud data warehouse in BigQuery<br>
</li><li>
Own transformation workflows using dbt, SQLMesh, or similar tools<br>
</li><li>
Optimize performance, reliability, and cost<br>
</li><li>
Design and support production-grade AI/ML pipelines ensuring model performance, data integrity, and compliance.</li></ul><p><b><br>
Reliability and Governance</b></p><br>
<ul><li>
Ensure data quality, integrity, and observability<br>
</li><li>
Implement access controls aligned with compliance requirements<br>
</li><li>
Build a scalable foundation ready for advanced analytics and AI</li></ul><p><b><br>
Cross-Functional Impact</b></p><br>
<ul><li>
Translate business requirements into robust data systems<br>
</li><li>
Enable trusted reporting and BI across teams<br>
</li><li>
Support experimentation and AI-driven initiatives with well-structured datasets</li></ul><br>
<b>
Requirements</b><p><b><br>
What We Are Looking For</b></p><br>
<ul><li>
5+ years of experience in Data Engineering or Analytics Engineering<br>
</li><li>
Strong SQL expertise with hands-on data modeling experience<br>
</li><li>
Experience with cloud data warehouses such as BigQuery<br>
</li><li>
Experience with modern transformation frameworks such as dbt or SQLMesh<br>
</li><li>
Experience building or supporting production-grade AI/ML pipelines is a strong plus<br>
</li><li>
Ability to operate independently in a fast-moving startup<br>
</li><li>
Operates with high agency, taking end-to-end ownership of complex problems and delivering outcomes</li></ul></div>

Senior AI Data Engineer

Foodics

<div>
 <strong>
  Who Are We❓
  <br/>
  <br/>
 </strong>
 We Are Foodics! a leading restaurant management ecosystem and payment tech provider. Founded in 2014 with headquarter in Riyadh and offices across 5 countries, including UAE, Egypt, Jordan and Kuwait. We are currently serving customers and partners in over 35 different countries worldwide. Our innovative products have successfully processed over 6 billion (yes, billion with a B) orders so far! making Foodics one of the most rapidly evolving SaaS companies to ever emerge from the MENA region. Also Foodics has achieved three rounds of funding, with the latest raising $170 million in the largest SaaS funding round in MENA, boosting its innovation capabilities to better serve business owners.
 <br/>
 <br/>
 <strong>
  The Job in a Nutshell💡
  <br/>
  <br/>
 </strong>
 You will lead the design, development, and deployment of ML/AI/GenAI models that power core Foodics products (e.g., pricing, personalization, fraud detection). You'll collaborate with Data Engineers, Product Managers, and Platform teams to deliver production-grade models with real impact.
 <br/>
 <br/>
 <strong>
  What Will You Do❓
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Own end-to-end ML model lifecycle: problem framing, data exploration, training, deployment, monitoring
  </li>
  <li>
   Design and develop scalable solutions using classical ML and GenAI techniques
  </li>
  <li>
   Implement MLOps best practices: versioning, reproducibility, monitoring, CI/CD for models
  </li>
  <li>
   Collaborate with squads and platform teams to ensure reusability and adherence to standards
  </li>
  <li>
   Mentor junior ML engineers and contribute to the internal ML knowledge base
  </li>
  <li>
   Integrate models with APIs and backend services as needed
  </li>
  <li>
   Embrace and enforce a "you build it, you run it" approach, owning the full lifecycle of ML models from development through monitoring and continuous improvement
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What Are We Looking For❓
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5+ years' experience in applied ML, AI, or data science
  </li>
  <li>
   Strong proficiency in Python and ML/AI libraries (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost, HuggingFace Transformers)
  </li>
  <li>
   Experience with MLOps tools (e.g., MLflow, SageMaker) and managing versioning, testing, and observability
  </li>
  <li>
   Deep understanding of model development workflows including feature engineering, hyperparameter tuning, model evaluation, and A/B testing
  </li>
  <li>
   Deep understanding of statistical modeling, statistical inference, and the appropriate application of statistical tests (e.g., t-test, chi-square, ANOVA, regression analysis); ability to interpret results and communicate implications to both technical and non-technical audiences
  </li>
  <li>
   Proven track record of deploying ML models in production at scale
  </li>
  <li>
   Knowledge of ML best practices including bias mitigation, explainability (e.g., SHAP, LIME), and model monitoring for drift and fairness
  </li>
  <li>
   Strong understanding of data pipelines, experimentation, and model evaluation
  </li>
  <li>
   Familiarity working in a cloud-native environment (AWS preferred) with CI/CD, GitOps, and IaC tools (e.g., Terraform, CDK)
  </li>
  <li>
   Hands-on experience with GenAI / LLM integration (e.g., RAG, fine-tuning, embeddings, prompt engineering) and tools such as LangChain, LangGraph, or LlamaIndex
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Offer You❗
  <br/>
  <br/>
 </strong>
 We believe you will love working at Foodics!
 <br/>
 <br/>
 <ul>
  <li>
   We have an inclusive and diverse culture that encourages innovation
  </li>
  <li>
   We offer highly competitive compensation packages, including bonuses and the potential for shares
  </li>
  <li>
   We prioritize personal development and offer regular training and an annual learning stipend to tackle new challenges and grow your career in a hyper-growth environment
  </li>
  <li>
   Join a talented team of over 30 nationalities working in 14 countries, and gain valuable experience in an exciting industry
  </li>
  <li>
   We offer autonomy, mentoring, and challenging goals that create incredible opportunities for both you and the company
  </li>
 </ul>
</div>


Senior Data Scientist / Senior ML Engineer

<div><div><b>Responsibilities:</b><br>
<ul><li>Design, implement, and optimize data pipelines for batch and real-time data processing using Cloudera (Hadoop, Hive, Spark, Impala) and Informatica (PowerCenter, Cloud Data Integration)</li><li>Build data extraction, transformation, and loading (ETL) workflows using Informatica PowerCenter for large-scale data integration from source systems (e.g., relational databases, flat files, APIs) into Cloudera Data Lake or data warehouse environments.</li><li>Implement Spark jobs on Cloudera for distributed data processing and optimization of data workflows.</li><li>Leverage Informatica for orchestrating ETL workflows, including data extraction, cleansing, transformation, and loading into data repositories (HDFS, Hive, SQL databases, etc.).</li><li>Optimize the Informatica workflows to minimize runtime, ensure smooth data integration, and maintain high data quality.</li><li>Utilize Hadoop and Spark on Cloudera to process large datasets and implement data transformations using MapReduce, Spark SQL, and PySpark.</li><li>Leverage Impala for low-latency SQL queries on Hadoop, ensuring real-time access to processed data.</li><li>Implement partitioning, bucketing, and indexing strategies in Hive and HBase to improve query performance on large datasets.</li><li>Implement and enforce data quality rules within Informatica workflows, ensuring that all transformations meet the required standards for completeness, consistency, and accuracy.</li><li>Ensure compliance with data governance and security protocols (e.g., encryption, masking, access control) in accordance with industry best practices.</li><li>Automation and Scheduling: Automate ETL workflows using Informatica Server, integrating with Airflow, Nifi or other workflow orchestration tools for scheduling and monitoring jobs.</li><li>Utilize Cloudera Navigator for monitoring and auditing data processes within the Hadoop ecosystem.</li><li>Perform regular tuning of the ETL pipelines, data flows, and SQL queries to ensure optimal performance.
</li></ul></div><div><b>Qualifications:</b><br>
<ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, or related field.</li><li>6+ years of experience in the same field.</li><li>Proven experience with the Cloudera Distribution of Hadoop (CDH), including expertise in HDFS, Hive, Impala, Spark, and HBase.</li><li>Strong hands-on experience with Informatica PowerCenter (ETL), EDC, IDQ, B2B, and Axon.</li><li>Deep understanding of ETL best practices, data pipelines, and distributed computing technologies such as Spark, MapReduce, PySpark, and Hadoop ecosystem components.</li><li>Advanced SQL skills for data manipulation, aggregation, optimization, and reporting across relational and non-relational data stores (e.g., SQL Server, MySQL, PostgreSQL, Hive, Impala).</li><li>Experience in Python and SQL.</li><li>Strong background in data warehousing principles and data modeling, including dimensional modeling (star schema, snowflake schema) and OLAP/OLTP considerations.</li></ul></div></div><p></p>

Senior Big Data Engineer

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