analytics engineer

Trendyol

<div><div><div><b>ABOUT THE TEAM</b></div><div></div><div><br>
We&rsquo;re shaping the future of financial technology at Trendyol.</div><div>
As Trendyol&rsquo;s technology teams, we&rsquo;re not only building for today we&rsquo;re designing the financial experiences of tomorrow. From payment infrastructure and digital wallets to smart credit systems and personalized financial services, we create solutions that empower millions of users across our ecosystem.</div><div>
With Trendyol Pay, we enable fast, secure, and seamless payment journeys. Through Trendyol Finance, we develop inclusive and accessible products that simplify financial decisions.</div><div></div><div><br>
We are united by a shared purpose:To create a positive impact in our ecosystem by enabling commerce through technology</div><div></div><div><b><br>
About the Role</b></div><div>
As an Analytics Engineer, you will act as the bridge between raw data and business insights. You'll create the systems that empower our data teams, building pipelines and data models that transform messy, siloed data into clean, accessible, and reliable datasets. You will play a key role in how we make informed decisions by providing the single source of truth that powers our dashboards, reports, and analytical tools.</div></div>
<div><div><h3 class="jobSectionHeader"><b>Responsibilities</b></h3><ul><li><ul><li>
Partner with Product Managers and engineering teams to design, develop, and maintain scalable and reliable data models and metric layers for new and existing data product initiatives.</li><li>
Transform large, complex datasets from raw sources into clean, tested, and documented data assets that empower self-service analytics for end-users (analysts, data scientists, business teams).</li><li>
Own the end-to-end design, development, and maintenance of SQL-based data models, ensuring consistency, performance, and reliability within the data warehouse.</li><li>
Act as the product owner for our analytics platform, driving the standardization of data definitions and metadata to establish a &quot;single source of truth.&quot; Additionally, lead the development of our next-generation platform that enables users to conduct self-service analysis through Large Language Models (LLMs) and AI Agents.</li><li>
Collaborate closely with business teams to understand their data exploration and analysis needs, influencing data roadmaps and prioritization based on their requirements.</li><li>
Deeply understand and empathize with Trendyol's customers and their journey with the product from a data perspective.</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>Expected Qualifications</b></h3><ul><li><ul><li>
Bachelor's degree or higher in a quantitative discipline such as Computer Science, Mathematics, Engineering, or a related field.</li><li>
3+ years of professional experience in analytics engineering, data warehousing, or data modeling. Experience in an e-commerce environment is a strong plus.</li><li>
Strong understanding of modern data warehousing concepts, including fact tables, dimensions, star schemas, and slowly changing dimensions.</li><li>
Expert-level proficiency in SQL and hands-on experience with the data modeling layer of modern BI and data visualization tools (e.g., Looker, Tableau).</li><li>
Proven hands-on experience in data modeling, data lake technologies, and large-scale data warehousing architecture.</li><li>
Experience applying software engineering best practices to data, including version control (Git) and CI/CD.</li><li>
Ability to translate complex data concepts and model designs for both technical and non-technical stakeholders, enabling them to tell stories with data.</li><li>
An agile mindset for data product development.</li></ul></li></ul></div></div>
<div><div><b>What We Offer</b></div><div><b>
A hybrid working model with flexibility &mdash;</b> a schedule that helps you find the right balance between flexibility and team bonding, including work-from-abroad opportunities and a summer working model.</div><div><b>
A customizable FlexBenefits budget &mdash;</b> Adjust your daily meal allowance, choose your health insurance package (and extend it to your spouse or children), and pick from additional benefits like fuel support or Trendyol shopping credits.</div><div><b>
Comprehensive wellbeing support &mdash; </b>Take advantage of our extended health package, which includes annual mini health screenings, access to location-based in-house doctors, psychologist and dietitian support, and HPV vaccination coverage.</div><div><b>
Personalized training allowance and learning opportunities &mdash;</b> Use your annual budget for any training or conference of your choice, explore our Learning Management System (LMS) anytime, and join in-person learning sessions offered throughout the year.</div><div><b>
Responsibility from day one &mdash; </b>Take full ownership from the start in a culture where every voice is heard and valued.</div><div><b>
A diverse, international team &mdash; </b>Collaborate with global peers across our offices in Berlin, Amsterdam, Dubai, and beyond, in a startup-spirited and collaborative environment.</div><div><b>
Opportunities to grow with the best &mdash;</b> Tackle meaningful challenges, develop through hands-on experience, and grow with the support of expert guidance and global mentoring.</div><div><b>
Meaningful connections beyond tasks &mdash;</b> Be part of team rituals, events, and social activities that help us stay connected and inspired.</div><div></div><div><b><br>
Take the Next Step</b></div><div>
If this role excites you, apply now and let&rsquo;s take the next step together.</div><div>
Want to get to know the team better first? Explore our Career Website, LinkedIn, or YouTube to learn more about #LifeatTrendyol and how we work.</div></div></div>

Analytics Engineer

Warner Bros. Discovery

<div><p><b><i>Welcome to Warner Bros. Discovery&hellip; the stuff dreams are made of.</i></b></p><p></p><p><b>
Who We Are&hellip;
</b></p><p>When we say, &ldquo;the stuff dreams are made of,&rdquo; we&rsquo;re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD&rsquo;s vast portfolio of iconic content and beloved brands, are the <i>storytellers</i> bringing our characters to life, the<i> creators</i> bringing them to your living rooms and the <i>dreamers</i> creating what&rsquo;s next&hellip;</p><p></p><p>
From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.</p><p></p><p>
Welcome to Warner Bros. Discovery&hellip; the stuff dreams are made of.</p><p></p><p><br>
Who We Are&hellip;</p><p><br>
</p><p>When we say, &ldquo;the stuff dreams are made of,&rdquo; we&rsquo;re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD&rsquo;s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what&rsquo;s next&hellip;</p><p></p><p><br>
From brilliant creatives to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.</p><p></p><p><b><br>
Senior Analytics Engineer - Location.</b></p><p></p><p><i><br>
About Warner Bros. Discovery:</i></p><p></p><p><br>
Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines Warner Media&rsquo;s premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses.</p><p></p><p><br>
For more information, please visit www.wbd.com.</p><p></p><p><i><br>
Meet our team:</i></p><p></p><p><br>
The Data &amp; Analytics organization is at the forefront of developing and maintaining frameworks, tools, and data products vital to WBD, including flagship streaming product Max and non-streaming products such as Films Group, Sports, News and overall WBD eco-system. Our mission is to foster unified analytics and drive data-driven use cases by leveraging a robust multi-tenant platform and semantic layer. We are committed to delivering innovative solutions that empower teams across the company to catalyze subscriber growth, amplify engagement, and execute timely, informed decisions, ensuring our continued success in an ever-evolving digital landscape.</p><p></p><p><i><br>
Roles &amp; Responsibilities:</i></p><p><br>
</p><p>We are seeking a highly motivated Senior Analytics Engineer to design and scale a robust analytics platform that delivers impactful insights across key domains, such as Subscription, Growth, Identity, Retention, Content, and Product Analytics. As a Staff Analytics Engineer, you will lead efforts to transform raw data into meaningful and actionable insights by building and maintaining a reliable and scalable analytics data infrastructure.</p><p></p><p><br>
Your work will directly support analysts, data scientists, and business stakeholders by ensuring data pipelines, models, and metrics are efficient, accurate, and accessible. This role is critical to driving a data-driven culture and enabling teams to make informed decisions.</p><p></p><ul><li><br>
 Architect and manage data pipelines using Databricks notebooks and Apache Spark, focusing on performance and efficiency.</li><li> Troubleshoot and optimize Spark applications for handling large, complex datasets.</li><li> Develop robust data transformations, data integrations, and automation scripts in SQL and Python.</li><li> Implement best practices for code modularity, testing, and deployment within the analytics ecosystem.</li><li> Work closely with Data Engineers, Analysts, and other stakeholders to understand data needs and deliver effective solutions.</li><li> Provide clear documentation and training to ensure best practices are followed across the organization.</li><li> Partner with cross-functional teams to understand evolving data needs and propose innovative solutions.</li><li> Contribute to a culture of continuous improvement by evaluating and implementing emerging technologies and approaches.</li></ul><p></p><p><br>
What to Bring:</p><p></p><ul><li><br>
 Bachelor&rsquo;s degree in computer science, business analytics or similar discipline.</li><li> 5-7+ years of experience in analytics engineering, data engineering, or a related field.</li><li> Proficiency in SQL, Spark and ETL/ELT tools (e.g., dbt, Airflow)</li><li> Strong Python (or similar) scripting skills for automation and data manipulation.</li><li> Hands-on experience with Databricks and Apache Spark, including Spark tuning and cluster management.</li><li> Strong analytical and problem-solving abilities to address complex data challenges.</li><li> Excellent communication skills to work with both technical and non-technical stakeholders.</li></ul><p></p><p><i><br>
How We Get Things Done&hellip;</i></p><p></p><p><br>
This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.</p><p></p><p><i><br>
Championing Inclusion at WBD</i></p><p></p><p><br>
Warner Bros. Discovery embraces the opportunity to build a workforce that reflects the diversity of our society and the world around us. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.</p><p>
If you&rsquo;re a qualified candidate and you require adjustments or accommodations to search for a job opening or apply for a position, please contact us at recruitadmin</p><p></p><p><b>
How We Get Things Done&hellip;</b></p><p></p><p>
This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.</p><p></p><p><b>
Championing Inclusion at WBD</b></p>
Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.<p></p><p>
If you&rsquo;re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.</p></div><p></p>

Senior Analytics Engineer

Fifth Third Bank

<div><div>Make banking a Fifth Third better&reg;<br>
We connect great people to great opportunities. Are you ready to take the next step? Discover a career in banking at Fifth Third Bank.</div><div></div><div>
GENERAL FUNCTION:</div><div>
Leads efforts to develop, monitor and maintain processes, frameworks, and tools ensuring reliability and scalability to support advanced analytics, predictive modeling, machine learning, and decision-making. Focuses on engineering data products and implementing automated processes that enable analytic product development. Works with business and technology teams through consultative partnerships to define data strategy, explore new tools, establish best practices, and enable technical capabilities across the team.</div><div></div><div>
Responsible and accountable for risk by openly exchanging ideas and opinions, elevating concerns, and personally following policies and procedures as defined. Accountable for always doing the right thing for customers and colleagues, and ensures that actions and behaviors drive a positive customer experience. While operating within the Bank's risk appetite, achieves results by consistently identifying, assessing, managing, monitoring, and reporting risks of all types.</div><div></div><div>
ESSENTIAL DUTIES AND RESPONSIBILITIES:</div><ul><li>
Defines and implements standards for data strategy, code quality, and lifecycle management while providing technical guidance and mentorship on automation, data engineering, and best practices.</li><li>
Designs, builds and maintains large and complex information sets optimized for performance and reliability; Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions.</li><li>
Develops reusable frameworks, APIs, and tools that empower analysts and data scientists to work efficiently.</li><li>
Seeks out and identifies ad hoc, manual or fragmented processes and transforms them into automated, reliable, deployable solutions using modern practices.</li><li>
Partners with key stakeholders to understand business needs, translates business strategy and goals into manageable problems, and formulates, communicates, and gains buy in for solutions with well defined, measurable outcomes.</li><li>
Produces ad hoc reporting and analytics to support requests from the Bank's various lines of business.</li><li>
Provides input into the creation of detailed project plans, work assignments, target dates and other aspects of assigned projects.</li></ul><div></div><div>
MINIMUM KNOWLEDGE, SKILLS AND ABILITIES REQUIRED:</div><ul><li>
Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Advanced degrees preferred, but not required.</li><li>
Typically requires minimum of 4-5 years work experience.</li><li>
Database and analytical experience required; proficiency in Python, dbt, SQL, SAS preferred, but not required.</li><li>
Excellent written and oral communications skills.</li><li>
Ability to effectively manage time.</li><li>
Independent and highly self-motivated.</li><li>
Ability to communicate effectively.</li><li>
Strong PC skills including Microsoft Office (Word, Excel, Access, PowerPoint).</li></ul><div></div>
Data Scientist - Analytics Engineer<div></div>
Total Base Pay Range 80,500.00 - 169,100.00 USD Annual<div></div><div>
At Fifth Third, we understand the importance of recognizing our employees for the role they play in improving the lives of our customers, communities and each other. Our Total Rewards include comprehensive benefits and differentiated compensation offerings to give each employee the opportunity to be their best every day.</div><div></div><div>
The base salary for this position is reflective of the range of salary levels for all roles within this pay grade across the U.S. Individual salaries within this range will vary based on factors such as role, relevant skillset, relevant experience, education and geographic location. In addition to the base salary, this role is eligible to participate in an incentive compensation plan, with any such payment based upon company, line of business and/or individual performance.</div><div></div><div>
Our extensive benefits programs are designed to support the individual needs of our employees and their families, encompassing physical, financial, emotional and social well-being. You can learn more about those programs on our 53.com Careers page at: <div>https://www.53.com/content/fifth-third/en/careers/benefits.html</div> or by consulting with your talent acquisition partner.</div><div></div>
LOCATION - Cincinnati, Ohio 45202<div></div><div>
Attention search firms and staffing agencies: do not submit unsolicited resumes for this posting. Fifth Third does not accept resumes from any agency that does not have an active agreement with Fifth Third. Any unsolicited resumes &ndash; no matter how they are submitted &ndash; will be considered the property of Fifth Third and Fifth Third will not be responsible for any associated fee.</div><div></div><div>
Fifth Third Bank, National Association is proud to have an engaged and inclusive culture and to promote and ensure equal employment opportunity in all employment decisions regardless of race, color, gender, national origin, religion, age, disability, sexual orientation, gender identity, military status, veteran status or any other legally protected status.</div></div><div></div>

Data Scientist - Analytics Engineer

ExxonMobil

<p></p><div><p><b>About us</b></p><p></p><p><br>
At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world&rsquo;s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.</p><p></p><p><br>
The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies.</p><p></p><p><br>
We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society&rsquo;s evolving needs. Learn more about <b>our What and our Why</b> and how we can<b> </b>work<b> together</b>.</p><div><div><div><h2 class="jobSectionHeader"><b>
What role you will play in our team</b></h2></div><p></p><div><p><br>
We are looking for minimum 3 years experienced engineers with an emphasis on data engineering and analytics using visualization tools to provide wells engineering support across ExxonMobil&rsquo;s global portfolio. This position will also require interaction with the broader data science and analytics career community in ExxonMobil India to share best practices and upskill on various technologies (Snowflake, Databricks, many others).</p><p><br>
ExxonMobil is a long-term career orientated company where you will have opportunities to develop your skills, while working across different projects and business functions on a global scale.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
What you will do</b></h2></div><p></p><div><br>
<ul><li>
Create intuitive and effective visualizations of drilling, completion, and production data from multiple repositories to provide immediate insights.</li><li>
Work in teams on data visualization projects using Spotfire /Power BI to solve complex engineering and business problems.</li><li>
Develop data models on Wells &ndash; drilling, completion and production data.</li><li>
Collaborate with cross functional teams to integrate data from various sources (PI, SAP, EC, CORVA etc.)</li><li>
Identify and collaborate with various teams to resolve data quality issues.</li><li>
Provide engineering recommendations in drilling, completions, and well performance area to ExxonMobil Wells teams based on data modeling and analysis</li><li>
Create tutorials, SOP documentation, training material pertaining to data modeling and analysis if required.</li><li>
Engage with stakeholders to meet expectations by valuable and actionable insights.</li><li>
Develop custom visuals to deliver effective and accurate insights.</li><li>
Develop automated reports using Visualization tools.</li><li>
Contribute to various stages of analytics, model deployment and model maintenance.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
About You</b></h2></div><p></p><div><p><b><br>
Skills and Qualifications</b></p><br>
<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree from a recognized university in data engineering, data visualization, petroleum engineer, chemical engineer or computer graphics design with minimum GPA of 7.5</li><li>
Minimum 3 years of work experience in Data analytics and visualization in the upstream oil and gas industry.</li><li>
Strong analytical skills to evaluate critical design &amp; operating parameters through data and trend analysis.</li><li>
Experience in creating visualizations on Spotfire/Power BI is preferred.</li><li>
Experience in data extractions from different kinds of database like common O&amp;G database, SQL server, oracle server etc.</li><li>
Data Modelling for variety of data including real time data. Knowledge of Databricks and GitHub is preferred.</li><li>
Knowledge of SQL and Python (PySpark) programming is preferred.</li><li>
Experience preferred in well design, well performance monitoring, troubleshooting, or optimization of well performance and well management preferred</li><li>
Experience in data collation preferred</li><li>
Experience in programming languages such as Java will be an advantage</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Preferred Qualifications / Experience</b></h2></div><div><ul><li>
Strong communication skills</li><li>
Ability to cooperate effectively in a team environment</li><li>
Flexibility to work in shifts, with opportunities to leverage flexible work hours</li><li>
Position is Bangalore-based with potential for international travel</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Your benefits</b></h2></div><p></p><div><p><br>
An ExxonMobil career is one designed to last. Our commitment to you runs deep our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you:</p><br>
<p></p><ul><li>
Competitive compensation</li><li>
Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits</li><li>
Retirement benefits</li><li>
Global networking &amp; cross-functional opportunities</li><li>
Annual vacations &amp; holidays</li><li>
Day care assistance program</li><li>
Training and development program</li><li>
Tuition assistance program</li><li>
Workplace flexibility policy</li><li>
Relocation program</li><li>
Transportation facility</li></ul><p></p><p><br>
Please note benefits may change from time to time without notice, subject to applicable laws. The benefits programs are based on the Company&rsquo;s eligibility guidelines.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Stay connected with us</b></h2></div><p></p><div><br>
<ul><li>
Learn more about ExxonMobil in India, visit <b>ExxonMobil India</b> and <b>Energy Factor India</b><b>.</b></li><li>
Follow us on <b>LinkedIn</b> and <b>ExxonMobil (@exxonmobil) &bull; Instagram photos and videos</b><b>
</b></li><li>Like us on <b>Facebook</b></li><li>
Subscribe our channel at <b>YouTube</b></li></ul></div></div><p></p><div><div><h2 class="jobSectionHeader"><b><br>
EEO Statement</b></h2></div><p></p><div><p><br>
ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status.</p></div></div><div><div><h2 class="jobSectionHeader"><b><br>
Business solicitation and recruiting scams</b></h2></div><p></p><div><p><br>
ExxonMobil does not use recruiting or placement agencies that charge candidates an advance fee of any kind (e.g., placement fees, immigration processing fees, etc.). Follow the LINK to understand more about recruitment scams in the name of ExxonMobil.</p></div></div></div><p></p><p><br>
Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.</p><p></p><p><br>
Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.</p></div>

Wells Analytics Engineer

HMS-Hussain Metal Stone

<p><b>Role Overview</b></p><p>We&rsquo;re hiring an <b>AI and Video Analytics Engineer</b> with 3&ndash;4 years of hands-on experience in computer vision and deep learning. You&rsquo;ll design and deploy vision-based systems that analyze real-time video feeds &mdash; detecting objects, identifying patterns, and delivering actionable intelligence.</p><p>This role combines <b>algorithmic design, real-time processing</b>, and <b>system-level engineering</b> &mdash; perfect for someone who&rsquo;s ready to go from &ldquo;implementer&rdquo; to &ldquo;solution owner.&rdquo;</p><p><b>Key Responsibilities</b></p><ul><li>Develop and deploy AI-powered video analytics models for detection, classification, and event recognition.</li><li>Build scalable video processing pipelines using <b>OpenCV, PyTorch, TensorFlow</b>, and <b>DeepStream</b>.</li><li>Work on <b>edge deployments</b> (Jetson, Raspberry Pi, etc.) and optimize inference for low-latency environments.</li><li>Integrate models into production systems using <b>GStreamer, Flask/FastAPI, or custom C++ backends</b>.</li><li>Collaborate with backend and cloud teams for API integrations and real-time dashboards.</li><li>Participate in model tuning, dataset curation, and annotation workflows.</li><li>Stay updated with emerging research in <b>vision transformers (ViT), multi-object tracking, and multimodal AI</b>.</li></ul><p><b>Requirements</b></p><ul><li><b>3&ndash;4 years</b> of experience in AI / Computer Vision / Deep Learning.</li><li>Strong command of <b>Python</b> and one or more frameworks like <b>PyTorch</b>, <b>TensorFlow</b>, or <b>Keras</b>.</li><li>Experience with <b>OpenCV</b>, <b>NumPy</b>, and <b>video stream processing</b>.</li><li>Practical exposure to <b>DeepStream, TensorRT</b>, or <b>GStreamer</b> is highly preferred.</li><li>Working knowledge of <b>Docker</b>, <b>REST APIs</b>, and <b>cloud environments</b> (AWS / GCP / Azure).</li><li>Understanding of <b>object tracking (SORT, DeepSORT)</b> and <b>action recognition</b>.</li><li>Good grasp of <b>performance optimization</b> and <b>GPU acceleration</b>.</li><li>Bonus points for:</li><li>Experience with <b>Re-ID, heatmaps, or anomaly detection</b>.</li><li>Familiarity with <b>speech-to-video synchronization</b> or <b>audio analytics</b>.</li></ul><p>*</p><p><b>What We Offer</b></p><ul><li>Competitive market-based salary.</li><li>Cutting-edge AI projects with measurable, real-world deployment.</li><li>Collaborative R&amp;D culture &mdash; not bureaucracy.</li><li>Growth pathways into <b>Lead AI Engineer / R&amp;D Specialist</b> roles.</li></ul><p>Job Type: Full-time</p><p>Experience:</p><ul><li>Video Analytics: 3 years (Required)</li></ul><p>Location:</p><ul><li>Karachi (Required)</li></ul><p>Work Location: In person</p>

AI and Video Analytics Engineer

Raqmiyat

<div><div><h3 class="jobSectionHeader"><b>Job Information</b></h3>
<ul><div><p>Date Opened</p>
<div><b>10/16/2025</b><b>
</b></div></div><div><p>Job Type</p>
<div><b>Full time</b><b>
</b></div></div><div><p>Job Opening Status</p>
<div><b>In-progress</b><b>
</b></div></div><div><p>Work Experience</p>
<div><b>1-3 years</b><b>
</b></div></div><div><p>Industry</p>
<div><b>Technology</b><b>
</b></div></div><div><p>City</p>
<div><b>Riyadh</b><b>
</b></div></div><div><p>State/Province</p>
<div><b>Riyadh</b><b>
</b></div></div><div><p>Country</p>
<div><b>Saudi Arabia</b><b>
</b></div></div><div><p>Zip/Postal Code</p>
<div><b>11564</b><b>
</b></div></div></ul></div><div><h3 class="jobSectionHeader"><b>About Us</b></h3>
<div><div>Raqmiyat is a UAE-based IT and digital transformation company specializing in consulting, staffing, and enterprise technology solutions. We empower banking, government, and enterprise clients across the Middle East to achieve their digital objectives.</div><br>
</div><p></p><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<div><p><b>Job Summary:</b></p><p><br>
We are seeking a motivated <b>Saudi National Data Analytics Engineer</b> with <b>2&ndash;3 years of experience</b> in data analysis, transformation, and reporting. The ideal candidate will play a key role in collecting, cleaning, and preparing data for business insights, supporting analytics and reporting needs across the organization. This role is ideal for candidates who have a passion for data, strong technical skills, and a desire to grow in analytics and data engineering.</p><p></p><p><b><br>
Key Responsibilities:</b></p><ul><li><p><br>
Collect, clean, and process data from multiple sources to ensure <b>data accuracy and reliability</b>.</p></li><li><p><br>
Design and develop <b>data pipelines</b> and workflows to automate data ingestion and transformation.</p></li><li><p><br>
Support the development of <b>dashboards and reports</b> using <b>Power BI</b> or similar visualization tools.</p></li><li><p><br>
Collaborate with business teams to understand analytical requirements and translate them into data solutions.</p></li><li><p><br>
Work closely with IT and BI teams to optimize <b>data storage, models, and queries</b>.</p></li><li><p><br>
Assist in maintaining and improving <b>data warehouses or data lakes</b>.</p></li><li><p><br>
Ensure compliance with <b>data governance, security, and quality standards</b>.</p></li><li><p><br>
Troubleshoot data issues and support regular updates or refreshes of analytical datasets.</p></li><li><p><br>
Document data processes, workflows, and technical specifications.</p></li><li><p><br>
Stay current with emerging <b>data engineering and analytics tools</b> and best practices.</p></li></ul><h3 class="jobSectionHeader"><b><br>
Requirements</b></h3><p><b>
Skills Required:</b></p><ul><li><p><br>
2&ndash;3 years of experience in <b>data analytics or data engineering</b>.</p></li><li><p><br>
Proficiency in <b>SQL</b> and data querying.</p></li><li><p><br>
Hands-on experience with <b>Power BI</b>, <b>Excel</b>, or similar BI tools.</p></li><li><p><br>
Understanding of <b>ETL concepts</b> and data integration.</p></li><li><p><br>
Familiarity with <b>Python</b> or <b>R</b> for data analysis is an advantage.</p></li><li><p><br>
Knowledge of <b>data modeling</b>, <b>data warehousing</b>, and <b>database concepts</b>.</p></li><li><p><br>
Strong analytical and problem-solving skills.</p></li><li><p><br>
Excellent attention to detail and data accuracy.</p></li><li><p><br>
Good communication and teamwork skills.</p></li><li><p><br>
Bachelor&rsquo;s degree in <b>Computer Science, Data Analytics, Information Systems, or a related field</b>.</p></li></ul></div></div></div><p></p>

Data Analytics Engineer (Saudi National)

Capgemini

<div><p>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
</p><div><div><div><h2 class="jobSectionHeader"><b>Job Description
</b></h2></div><div><p>Join Capgemini as an FBS Associate Analytics Engineer and be part of our dynamic team dedicated to delivering cutting-edge analytics solutions for our clients. Our Client is one of the largest insurers in the United States, providing a broad spectrum of insurance and financial services.
</p><p>As part of Analytics Engineering team we work with different business teams to help with Data Engineering, Architecture &amp; Solutioning. Helping build complex data products, data assets to support the organizations D&amp;A needs.
</p><ul><li>Using the strong Python, SQL, PySpark and cloud technical skills help solve the business challenges related to data &amp; data products
</li><li>Work with different business teams, IT to help business team get the required data to support their needs
</li><li>Become an SME on the different source systems, data products and help different business users with their data needs
</li>Support the existing data assets and products by refreshing the data<br>
<li>
</li></ul></div></div><p></p><div><div><p>Data Engineering
<br>
Data Quality &amp; Data Management
<br>
ETL -
<br>
Data Warehousing &amp; Data Lake
</p><p>Python &ndash;
</p><p>SQL - Snowflake
</p><p>PySpark
</p><p>AWS (Lambda, EMR, Step Function)<br>
</p></div></div></div><p></p><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p></div>

Data Analytics Engineer | 6 to 9 years | Hyderabad & Pune

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