sales engineer

estimation engineer

technical engineer

data analyst

data analyst with ba

big data engineer

DATAIKU

<div><div><div><p>Dataiku is The Universal AI Platform&trade;, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.</p></div><div>
Why Engineering at Dataiku?</div>
<p>
Dataiku&rsquo;s SaaS, cloud or on-premise deployed platform connects many Data Science technologies. Our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look here.</p>
<div>
What to know about the Field Engineering team</div>
<p>
As a Field Engineer, you&rsquo;ll work with customers at every stage of their relationship with Dataiku - from the initial evaluations to enterprise-wide deployments. In this role, you will help customers to design, build, validate, and run their Data Science and AI Platforms.</p>
<div>
How you&rsquo;ll make an impact</div>
<p>
This role requires strong technical abilities, adaptability, inventiveness, and strong communication skills. Sometimes you will work with clients on traditional big data technologies such as SQL data warehouses, while at other times you will be helping them to discover and implement the most cutting edge tools; Spark on Kubernetes, cloud-based elastic compute engines, and GPUs. If you are interested in staying at the bleeding edge of big data and AI while maintaining a strong working knowledge of existing enterprise systems, this will be a great fit for you.</p>
<div>
Some expected outcomes for this role:</div>
<ul><li>Understand customer requirements in terms of scalability, availability and security and provide architecture recommendations</li>
<li>Deploy Dataiku in a large variety of technical environments (SaaS, Kubernetes, Spark, Cloud or on-prem)</li>
<li>Automate operation, installation, and monitoring of the Data Science ecosystem components in our infrastructure stack</li>
<li>Collaborate with Revenue and Customer teams to deliver a consistent experience to our customers</li>
<li>Drive technical success by being a trusted advisor to our customers and our internal account teams</li>
</ul><div>What you need to be successful:</div>
<ul><li>Professional experience with at least one cloud based services (AWS, GCP or Azure)</li>
<li>Hands-on experience with the Kubernetes ecosystem for setup, administration, troubleshooting and tuning</li>
<li>Familiarity with Ansible or other application deployment tools (Terraform, CloudFormation, etc)</li>
<li>Experience with cloud based Data Warehouses and Data Lakes (Snowflake, Databricks)</li>
<li>Some experience with Python</li>
<li>Grit when faced with technical issues</li>
<li>Comfort and confidence in client-facing interactions</li>
<li>Ability to work both pre and post sale</li>
</ul><div>What will make you stand out:</div>
<ul><li>Some knowledge in Data Science and/or machine learning</li>
<li>Linux system administration experience</li>
<li>Hands-on experience with Spark ecosystem for setup, administration, troubleshooting and tuning</li>
<li>Professional experience or Familiarity with Hadoop environment (Cloudera) is a plus</li>
<li>Experience with authentication and authorization systems like(A)AD, IAM, and LDAP</li>
</ul><div>What does the hiring process look like? #LI-Hybrid #LI-AN1</div>
<ul><li>Initial call with a member of our Technical Recruiting team</li>
<li>Video call with the Field Engineer Hiring Manager</li>
<li>Technical Assessment to show your skills (Home Test)</li>
<li>Debrief of your Tech Assessment with Field Engineer Team members</li>
<li>Final Interview with the VP Field Engineering</li>
</ul><p></p><div>
<p>What are you waiting for!</p>
<p>At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you&rsquo;d like to learn even more about working here, you can visit our Dataiku LinkedIn page.</p>
<p></p>
<p><i>Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: </i>reasonable-accommodations@dataiku.com</p><br>
<p></p>
<p></p>
<p></p><div><p>Protect yourself from fraudulent recruitment activity</p>
<p><i>Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity </i><i>here.</i></p>
</div></div></div><div><p><b>A</b></p></div></div>

Field Engineer - Dubai

NorthBay Solutions

<div><p><b>Job Title:</b> Senior Data Engineer<br>
<b>Location:</b> Abu Dhabi, UAE (Onsite)<br>
<b>Employment Type:</b> Full-Time, Permanent</p><h3 class="jobSectionHeader"><b>
About the Role</b></h3><p>
We are seeking a highly skilled <b>Senior Data Engineer</b> with 7&ndash;10+ years of experience to join our team in Abu Dhabi. The ideal candidate will have deep expertise in building and optimizing scalable data pipelines, working with large datasets, and leveraging modern cloud-based technologies. This is an onsite role offering the opportunity to work on cutting-edge data engineering initiatives, including data preparation for advanced analytics, ML, and GenAI use cases.</p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul><li><p>
Design, build, and maintain scalable, reliable, and high-performance data pipelines.</p></li><li><p>
Develop and optimize ETL/ELT processes to handle large-scale structured and unstructured data.</p></li><li><p>
Implement data models and warehouse solutions with a focus on Snowflake.</p></li><li><p>
Integrate and process data from diverse sources including SQL and NoSQL databases.</p></li><li><p>
Ensure data quality, governance, and security standards are maintained across all systems.</p></li><li><p>
Collaborate with data scientists and ML engineers to prepare data for advanced analytics and GenAI models.</p></li><li><p>
Work closely with business stakeholders to translate requirements into data engineering solutions.</p></li><li><p>
Monitor, troubleshoot, and optimize data workflows for performance and cost efficiency.</p></li></ul><h3 class="jobSectionHeader"><b>
Required Skills &amp; Qualifications</b></h3><ul><li><p><b>
Experience:</b> 7&ndash;10+ years of professional experience in data engineering.</p></li><li><p><b>
Programming:</b> Proficiency in Python (mandatory).</p></li><li><p><b>
Data Engineering:</b> Strong SQL expertise; experience with NoSQL databases; advanced skills in data modeling, ETL/ELT processes, and orchestration tools (e.g., Airflow, cloud-native services).</p></li><li><p><b>
Cloud:</b> Hands-on experience with cloud data warehousing, data lakes, and related services (mandatory).</p></li><li><p><b>
Snowflake:</b> Proven experience designing and managing data pipelines/warehousing in Snowflake.</p></li><li><p><b>
Big Data:</b> Experience handling large volumes of structured and unstructured data.</p></li><li><p><b>
Desired Skills:</b> Exposure to preparing data for ML/GenAI workloads; familiarity with data governance and data quality frameworks.</p></li></ul><h3 class="jobSectionHeader"><b>
Why Join Us</b></h3><ul><li><p>
Opportunity to work onsite in Abu Dhabi on high-impact data engineering projects.</p></li><li><p>
Collaborative work environment with cross-functional teams in cloud, data, and ML domains.</p></li><li><p>
Chance to contribute to the modernization of enterprise data platforms with cutting-edge technologies.</p></li></ul><p>
</p><p>YzBo50s7qA</p></div>

Senior Data Engineer

Careem

<div>
 <strong>
  About the Company
  <br/>
  <br/>
 </strong>
 Careem is building the Everything App for the greater Middle East, making it easier than ever to move around, order food and groceries, manage payments, and more. Careem is led by a powerful purpose to simplify and improve the lives of people and build an awesome organisation that inspires. Since 2012, Careem has created earnings for over 2.5 million Captains, simplified the lives of over 70 million customers, and built a platform for the region&rsquo;s best talent to thrive and for entrepreneurs to scale their businesses. Careem operates in over 70 cities across 10 countries, from Morocco to Pakistan.
 <br/>
 <br/>
 <strong>
  About The Team
  <br/>
  <br/>
 </strong>
 The Careem Data and ML Platform team&rsquo;s mission is to provide a platform to abstract big data complexities and enable fast, reliable and secure access to data. As a member of this team, you will be at the forefront of fulfilling this mission. You will be working with the top talent of the region, leveraging modern machine learning, big data tools and techniques to solve the region&rsquo;s day to day problems, on top of our own in-house data platform, serving users in real-time.
 <br/>
 <br/>
 This role will be part of the Data processing and computation platform team. We are heavily invested in open source technologies like Apache Spark, Apache Kafka, Apache Trino etc. You would also have an opportunity to contribute and collaborate with the open source community.
 <br/>
 <br/>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bringing an innovative and creative mindset to data engineering challenges to develop a modern data platform with efficient reusable components
  </li>
  <li>
   Design, architect, solutioning, implement and test rapid prototypes that demonstrate value of the data and present them to diverse audiences.
  </li>
  <li>
   Your focus will be on making code more efficient to run, optimizing resources across the cluster, and speeding up the compute workloads we face
  </li>
  <li>
   Continuously improve our engineering processes, tests, and systems that allow us to scale the code base and productivity of the team
  </li>
  <li>
   Collaborate with teams globally and operate in a fast paced environment
  </li>
  <li>
   Responsible for creating reusable and scalable data pipelines.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You&rsquo;ll Need
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   10+ years of hands-on experience in software development.
  </li>
  <li>
   Bachelor's degree in Computer Science or a related technical field.
  </li>
  <li>
   Strong expertise in Scala, Java, or similar programming languages.
  </li>
  <li>
   Proven track record of building distributed systems or working on comparable large-scale projects.
  </li>
  <li>
   Deep understanding of cloud-native Big Data technologies.
  </li>
  <li>
   Solid foundation in software engineering principles and design best practices.
  </li>
  <li>
   Passion for developing high-quality, maintainable, and performant software within a collaborative, high-performing global team.
  </li>
  <li>
   Experience with cloud control planes (AWS, GCP, etc.) or database internals, including query optimization.
  </li>
  <li>
   Contributions to open-source projects will be preferred.
  </li>
  <li>
   Experience with Docker and Kubernetes is a plus.
  </li>
 </ul>
</div>


Staff Software Engineer - Data Platform

Delivery Hero

<div><b>Company Description</b><p><br>
Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat&rsquo;s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.<br>
</p><p>We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.<br>
</p><p>Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner.</p><b><br>
Job Description</b><p><b><br>
About the Role</b></p><p>
We&rsquo;re looking for a Data Engineer who&rsquo;s passionate about building reliable, scalable, and cost-efficient data systems. You&rsquo;ll work with a modern stack &mdash; Kafka, Google Cloud Platform (GCP), AWS &mdash; to design and maintain the pipelines that power analytics, machine learning, and product insights.</p><p>
This is an IC2-level role, ideal for someone with solid foundational skills in data engineering who&rsquo;s ready to deepen their expertise, take ownership of workflows, and collaborate across teams.</p><p>
If you don&rsquo;t know every tool in our stack yet &mdash; that&rsquo;s okay. We value curiosity, problem-solving, and a willingness to learn just as much as existing technical skills.</p><p><b>
What's On Your Plate?</b></p><ul><li><p>
Design, build, and maintain data pipelines and workflows for batch and streaming use cases.</p></li><li><p>
Work with Kafka to manage real-time data ingestion and event-driven architectures.</p></li><li><p>
Leverage GCP and AWS services for storage, processing, and orchestration (e.g., BigQuery, Dataflow, S3, Lambda).</p></li><li><p>
Orchestrate workflows using tools like Airflow or similar schedulers.</p></li><li><p>
Ensure data quality and reliability through monitoring, alerting, and automated validation.</p></li><li><p>
Collaborate with analysts, data scientists, and product teams to understand requirements and deliver data solutions that drive business impact.</p></li><li><p>
Optimize for cost and performance across cloud environments.</p></li><li><p>
Participate in code reviews, documentation, and knowledge sharing to raise the bar for the team.</p></li></ul><p><br>
<b>
Our Tech Stack</b></p><ul><li><p>
Data Ingestion &amp; Streaming: Apache Kafka, Kafka Connect</p></li><li><p>
Cloud Platforms: Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Storage), AWS (S3, Lambda, Glue)</p></li><li><p>
Workflow Orchestration: Apache Airflow</p></li><li><p>
Programming Languages: Python, SQL, (bonus: Java/Scala)</p></li><li><p>
Infrastructure &amp; DevOps: Terraform, CI/CD pipelines, Docker</p></li><li><p>
Monitoring &amp; Observability: Grafana, Prometheus, Cloud-native tools</p></li></ul><b><br>
Qualifications</b><p><b><br>
What Did We Order?</b></p><p><b>
What We&rsquo;re Looking For</b></p><ul><li><p>
Experience (1&ndash;3 years) in data engineering, software engineering, or a related field.</p></li><li><p>
Proficiency in SQL and at least one programming language (Python preferred).</p></li><li><p>
Understanding of data modeling, ETL/ELT concepts, and cloud-based data warehouses.</p></li><li><p>
Familiarity with streaming platforms (Kafka, Kinesis, or similar).</p></li><li><p>
Comfort working in cloud environments (GCP, AWS, or Azure).</p></li><li><p>
Strong communication skills &mdash; able to explain technical concepts to non-technical audiences.</p></li><li><p>
Growth mindset &mdash; eager to learn, adapt, and take on new challenges.<br>
</p></li></ul><p><b>Nice-to-Have (But Not Required and willing to learn)</b></p><ul><li><p>
Experience with infrastructure-as-code (Terraform, CloudFormation).</p></li><li><p>
Exposure to containerization (Docker, Kubernetes).</p></li><li><p>
Knowledge of data governance, security, and compliance best practices.</p></li></ul><b><br>
Additional Information</b><p><b><br>
Why You&rsquo;ll Love Working Here</b></p><ul><li><p>
Impact: Your work will directly influence how data powers decisions across the company.</p></li><li><p>
Learning culture: We invest in your growth &mdash; from mentorship to training budgets.</p></li><li><p>
Modern stack: Work with cutting-edge tools and cloud platforms.</p></li><li><p>
Collaboration: Partner with talented engineers, analysts, and product managers.</p></li><li><p>
Flexibility: We care about outcomes, not where you work from.</p></li></ul><p><b>
Our Hiring Philosophy</b></p><p>
We know that a great data engineer isn&rsquo;t defined by checking every box. If you&rsquo;re excited about data engineering, have a solid foundation, and are eager to grow, we want to hear from you.</p></div>

Data Engineer II

VaporVM

<div><div><div><b>Date Posted:</b></div>
11 September, 2025</div>
<div><div><b>Industry:</b></div>
IT Services and IT Consulting</div>
<div><div><b>Location:</b></div>
VAPORVM IT SERVICES DMCC</div></div>
<br><div><h2 class="jobSectionHeader"><b>Job Description:</b></h2>
<div><p><b>Job Overview:</b></p>
<ul>
<li>We are seeking a skilled Data Engineer to design, implement, and support data integration solutions for our enterprise data warehouse. This role involves developing robust ETL pipelines, managing PL/SQL procedures, collaborating with business stakeholders, and ensuring the stability and performance of our data infrastructure. The ideal candidate will bring strong technical expertise in Informatica, PL/SQL, Python, and Linux/Unix environments, along with the ability to support mission-critical operations.</li>
</ul>
<p><b>Key Responsibilities:</b></p>
<ul>
<li><ul><li><b>ETL Pipeline Development:</b> Design, build, and optimize ETL pipelines to load data from multiple source systems into the enterprise data warehouse.
</li><li><b>Stored Procedure Management:</b> Create, optimize, and maintain PL/SQL stored procedures to support business needs and improve query performance.
</li><li><b>Informatica Development:</b> Develop, troubleshoot, and optimize Informatica ETL workflows, including large-volume file processing and integrations.
</li><li><b>Ad-Hoc Data Requests:</b> Support the Risk Department (Credit and Market Risk) by designing ETL solutions and delivering datasets as required.
</li><li><b>Collaboration:</b> Work closely with Credit and Market Risk teams to gather requirements, implement changes, and streamline workflows.
</li><li><b>Scripting &amp; Automation:</b> Use Python for automation and file handling; develop and maintain Linux/Unix shell scripts for operational tasks.
</li><li><b>Server Administration:</b> Perform routine server patching and maintenance for both Linux and Windows servers to ensure stability and security.
</li><li><b>Operational Support:</b> Provide 24/7 production support for ETL pipelines, monitoring performance, and resolving issues promptly.
</li><li><b>Documentation:</b> Create and maintain comprehensive documentation for ETL processes, workflows, and system configurations.
</li>
</ul></li></ul><p><b>Required Skills &amp; Qualifications:</b></p>
<ul>
<li><ul><li>Strong hands-on experience with <b>Informatica PowerCenter</b> (or similar ETL tools).
</li><li>Proficiency in <b>PL/SQL development</b> and performance tuning.
</li><li>Solid understanding of <b>data warehouse concepts and data modeling</b>.
</li><li>Experience managing <b>large data volumes</b> with performance optimization.
</li><li>Proficiency in <b>Python</b> for scripting and data handling.
</li><li>Strong knowledge of <b>Linux/Unix environments</b>, including shell scripting and administration.
</li><li>Familiarity with <b>Windows and Linux server patching/maintenance</b>.
</li><li>Ability to provide <b>24/7 production support</b> in a mission-critical environment.
</li><li>Excellent <b>problem-solving, troubleshooting, and communication</b> skills.
</li><li>Experience working with <b>Risk Management (Credit/Market Risk) teams</b> is a plus.</li></ul></li></ul></div></div><p></p>

Data Engineer

Fractal Analytics

<div><div>It's fun to work in a company where people truly BELIEVE in what they are doing!</div><div></div><div><i>
We're committed to bringing passion and customer focus to the business.</i></div><div></div><div>
Brief About Fractal :</div><div>
Fractal is one of the most prominent providers of Artificial Intelligence to Fortune 500&reg; companies. Fractal's vision is to power every human decision in the enterprise, and bring AI, engineering, and design to help the world's most admired companies.</div><div></div><div>
Fractal currently has 4500+ employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has been recognized as 'Great Workplace' and 'India's Best Workplaces for Women' in the top 100 (large) category by The Great Place to Work&reg; Institute; featured as a leader in Customer Analytics Service Providers Wave&trade; 2021, Computer Vision Consultancies Wave&trade; 2020 &amp; Specialized Insights Service Providers Wave&trade; 2020 by Forrester Research Inc., a leader in Analytics &amp; AI Services Specialists Peak Matrix 2022 by Everest Group and recognized as an 'Honorable Vendor' in 2022 Magic Quadrant</div><div><br>
Job Description:</div><ul><li>
Detailed reviewing and analyzing structured, semi-structured and unstructured data sources for quality, completeness and business value.</li><li>
Design, architect, implement and test rapid prototypes that demonstrate value of the data and present them to diverse audiences.</li><li>
Participate in early state design and feature definition activities.</li><li>
Responsible for implementing robust data pipeline using Microsoft Azure stack.</li><li>
Responsible for creating reusable and scalable data pipelines.</li><li>
Understanding of RCA process.</li><li>
Monitoring and managing data ingestion and processing workloads through technologies mentioned above.</li><li>
Eye for detail to identify areas of improvements in existing solutions.</li><li>
Strong communication and articulation. Constant connects with business and other stakeholders is important.</li><li>
Proactive issue identification and resolution.</li><li>
Troubleshooting issues, providing work around and permanent fixes.</li><li>
Managing and tracking incidents and SRs.</li><li>
Developing innovative automation solutions and reduce manual intervention.</li><li>
Building complex data ingestion workloads, solution design improvements, optimization of processes and supporting ad-hoc requests.</li><li>
Advanced working knowledge and experience with relational and non-relational databases.</li><li>
Experience building and optimizing big data pipelines, architectures and data sets.</li><li>
Strong analytic skills related to working with unstructured datasets.</li></ul><div><br>
Mandatory Technical Skills:</div><ul><li>
Azure Data Factory</li><li>
Azure Databricks (Python, Pyspark, Spark SQL)</li><li>
Azure Storage Account</li><li>
Azure Logic Apps (good to have)</li><li>
Azure SQL Server</li><li>
Azure Synapse</li><li>
Eventhub</li><li>
Azure DevOps experience to deploy the ADF pipelines</li></ul><div></div><div>
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!</div><div></div><div><div>
Not the right fit? Let us know you're interested in a future opportunity by clicking <i>Introduce Yourself</i> in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!</div></div></div>

Azure Lead Architect

Synechron

<div>
 <p>
  Greetings,
 </p>
 <p>
  <br/>
 </p>
 <p>
  We have an immediate vacancy for an
  <strong>
   Apache Nifi
  </strong>
  with 7+ years of experience at Synechron, based in Dubai.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Job Role: -
  <strong>
   Apache Nifi
  </strong>
 </p>
 <p>
  Job Location: - Dubai
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About Company:
  </strong>
 </p>
 <p>
  At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron&rsquo;s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud &amp; DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17000+, and has 58 offices in 21 countries within key global markets. For more information on the company, please visit our website or LinkedIn community.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Diversity, Equity, and Inclusion
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Synechron&rsquo;s Diversity, Equity, and Inclusion (DEI) program, Same Difference, was developed because we believe in a culture of listening, respect, and opportunity.
  </strong>
 </p>
 <p>
  <strong>
   We each bring unique backgrounds, thoughts, talents, and experiences with us to work every day, and we know that by embracing them, we are creating an even greater Synechron. The best way to build a strong team is to value individual differences. So, it doesn&rsquo;t matter where you&rsquo;re from or what you&rsquo;ve had to do to get here &ndash; if you have the skills, enthusiasm, and drive to make your mark, we&rsquo;ll support you like we support each other. Choose a career with us and let&rsquo;s pursue innovation, together.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Descriptions:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Education:
  </strong>
 </p>
 <p>
  Degree, Post graduate in Computer Science or related field (or equivalent industry experience)
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Apache Nifi:
  </strong>
 </p>
 <ul>
  <li>
   5+ years of hands-on experience with Apache NiFi, including developing, managing, and optimizing complex data flows in production environments.
  </li>
  <li>
   Proven experience with Cloudera NiFi (CDP Data Flow) in enterprise environments, including integration with Cloudera Manager.
  </li>
  <li>
   Experience migrating NiFi flows across major version upgrades with strong understanding of backward compatibility
  </li>
  <li>
   Strong proficiency in Groovy scripting, used for ExecuteScript and InvokeScriptedProcessor processors.
  </li>
  <li>
   Solid understanding of SSH and SFTP protocols, including authentication schemes (key-based, password), session negotiation, and file permissions handling in NiFi processors (e.g., ListSFTP, FetchSFTP, PutSFTP).
  </li>
  <li>
   Good grasp of data encryption mechanisms, key management, and secure flowfile handling using processors like EncryptContent.
  </li>
  <li>
   Experience integrating NiFi with MongoDB, including reading/writing documents via processors like GetMongo, PutMongo, and QueryMongo.
  </li>
  <li>
   Experience working with Apache Kafka, including producing and consuming from Kafka topics using NiFi (PublishKafka, ConsumeKafka), and handling schema evolution with Confluent Schema Registry.
  </li>
  <li>
   Strong knowledge of Red Hat Enterprise Linux (RHEL) environments, including systemd services, filesystem permissions, log rotation, and resource tuning for JVM-based applications like NiFi.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   NiFi-Specific Technical Requirements:
  </strong>
 </p>
 <ul>
  <li>
   In-depth knowledge of NiFi flow design principles, including proper use of queues, back pressure, prioritizers, and connection tuning.
  </li>
  <li>
   Mastery of controller services, including SSLContextService, DBCPConnectionPool, and RecordReader/RecordWriter services.
  </li>
  <li>
   Experience with Record-based processing using Avro, JSON, CSV schemas and Record processors like ConvertRecord, QueryRecord, and LookupRecord.
  </li>
  <li>
   Ability to debug and optimize NiFi flows using Data Provenance, bulletins, and log analysis.
  </li>
  <li>
   Familiarity with custom processor development in Java/Groovy (optional but preferred). Experience setting up secure NiFi clusters, configuring user authentication (LDAP, OIDC), TLS certificates, and access policies.
  </li>
  <li>
   Proficiency in parameter contexts, variable registry, and flow versioning using NiFi Registry.
  </li>
  <li>
   Understanding of Zero-Master clustering model, node coordination, and site-to-site protocol.
  </li>
  <li>
   Experience deploying and monitoring NiFi in high-availability, production-grade environments, including using Prometheus/Grafana or Cloudera Manager for metrics and alerting.
  </li>
  <li>
   Experience working in regulated or secure environments, with strict data handling and audit requirements.
  </li>
  <li>
   Familiarity with DevOps workflows, including version-controlled flow templates (JSON/XML), CI/CD integration for NiFi Registry, and automated deployment strategies.
  </li>
  <li>
   Strong written and verbal communication skills, with ability to document flows and onboard other engineers.
  </li>
 </ul>
</div>


Software Engineer-Apache NiFi

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