platform engineer

Dunesync

We are seeking a skilled Platform Engineer to join our team and support the development, deployment, and scaling of our General Admin (GA) product, built on a low-code platform. The ideal candidate will have strong expertise in platform engineering, DevOps practices, automation, and low-code integration, ensuring that our product is secure, reliable, and scalable.Key Responsibilities<ul><li>Design, build, and maintain the infrastructure and CI/CD pipelines for the GA low-code product.</li><li>Ensure high availability, performance, and scalability of the platform.</li><li>Collaborate with product and development teams to deploy features and automate workflows.</li><li>Implement monitoring, logging, and alerting solutions for proactive issue detection.</li><li>Optimize cloud resource usage and cost efficiency.</li><li>Manage platform security, compliance, and data protection standards.</li><li>Integrate low-code applications with APIs, third-party services, and enterprise systems.</li><li>Troubleshoot platform issues and provide support for deployment and production environments.</li></ul>Required Skills &amp; Qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, or related field.</li><li>3+ years of experience as a Platform Engineer / DevOps Engineer / Cloud Engineer.</li><li>Hands-on experience with low-code/no-code platforms (e.g., OutSystems, Mendix, Power Apps, Appian, Retool, or similar).</li><li>Strong knowledge of cloud platforms (AWS, Azure, GCP).</li><li>Experience with Docker, Kubernetes, CI/CD tools (GitLab, Jenkins, GitHub Actions).</li><li>Proficiency in infrastructure as code (Terraform, Ansible, Pulumi).</li><li>Familiarity with REST APIs, integrations, and workflow automation.</li><li>Strong understanding of security best practices and compliance standards.</li></ul>Nice to Have<ul><li>Experience with enterprise admin systems (HR, Finance, Operations, Compliance).</li><li>Familiarity with SaaS product deployment at scale.</li><li>Knowledge of observability tools (Prometheus, Grafana, ELK stack).</li><li>Experience with scripting languages (Python, Bash, PowerShell).</li></ul>What We Offer<ul><li>Opportunity to work on an innovative low-code GA platform.</li><li>Collaborative and growth-oriented work environment.</li><li>Competitive salary and benefits.</li><li>Professional development and certification support.</li></ul>Job Types: Full-time, FresherPay: Rs30,000.00 - Rs40,000.00 per monthEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Platform Engineer : 1 year (Required)</li></ul>Work Location: In person

Platform Engineer

Radar

<div>About the role
We're looking for a Data Platform Engineer to build out the next generation of our data platform . The ideal candidate has been a data platform engineer on a large system and is energized by deeply understanding customer pain points and opportunities related to our data platform. To date this has been a shared responsibility on our engineering team, but as we've grown to over 1 billion API calls per day (with lots of data exhaust into our data lake), we need a dedicated Data Platform Engineer to modernize and level up our data stack. This role can be either in our NYC HQ or remote in the US.
How we work:
Most of our engineering team are former technical co-founders or former Radar interns from schools like Waterloo and CMU. Most engineers at Radar fit one of two molds, technically: either Staff level expertise in one stack, or &quot;Multi-Stack&quot; at any level. We say &quot;Multi-Stack&quot; because &quot;Full-Stack&quot; has the connotation of &quot;Frontend and Backend&quot;, but Radar Engineers might also work on Mobile or Data engineering. Not that you need to be an expert in all of those, but a desire to learn, jump around to different stacks, and get things done is the important part.
We care a lot about shipping fast and talking to customers. We're committed to our product vision of full-stack location infrastructure, but we also know that customer feedback is a treasure map to gold. Even though Slack is the brain of our company, working together in-person in our NYC HQ is the fastest way for us to get things done. We meet on Mondays to plan out work for the week in small groups and use Linear for planning. All projects are run by an Engineering lead, an executive and a Go-to-Market lead. Engineers figure out what to build, talk to customers, talk to prospects, help close them, get them live and make them successful.
One of our most important company values is &quot;Walk a mile,&quot; as in walking a mile in the customer's shoes, but also as in literally walking a mile, getting up from your desk and developing a deep understanding of how location services behave in the real world. To us, a week is a long time, and we expect to ship big things every week.
The stack:<ul><li>
Our data stack includes Kinesis, S3, Athena, Terraform, Airflow, Parquet, Metabase, Python, Redis, MongoDB, and Kubernetes.</li><li>
Our primary languages are TypeScript, Rust, and Python.</li><li>
Most engineers are in the on-call rotation.</li><li>
We sponsor OpenStreetMaps, MapLibre, and OpenAddresses.</li></ul>
The hiring process:
After a call with our CTO, we'll do several technical Zoom calls: code screen, coding round, and system design round. If those go well we'll invite you to our NYC HQ for a final round interview. You'll meet one of our co-founders, someone from outside engineering, and meet more people from Radar. We'll go into more depth about how we work to see if there is a match.
What you&rsquo;ll do:<ul><li>
Work on core Radar data infrastructure built with Kinesis, S3, Athena, Terraform, Airflow, Parquet, Metabase, Python, Redis, and Mongo (some of these need to be replaced - you'll help figure out what that looks like)</li><li>
Improve our current data platform via incremental improvements and deploying next generation infra to level up our stack.</li><li>
Talk to Radar customers and prospects, hear their feedback, incorporate it into your work and make them successful</li></ul>
You should:<ul><li>
Have experience building data infrastructure</li><li>
Besides experience with some of our current data stack, have experience with several of Snowflake, Clickhouse, Databricks, Dynamo and dbt or similar tools</li><li>
Are interested in talking to customers or prospects and making them successful</li><li>
Are deeply curious about how things work, and have the tenacity to sit with hard problems and power through them</li></ul>
Bonus points if you:<ul><li>
Are a former technical co-founder</li><li>
Have experience building end-to-end customer facing analytics, real-time streaming solutions, leveraging cold and hot storage to achieve product goals</li></ul>
You&rsquo;ll work with:<ul><li>
Tim Julien, CTO</li><li>
Our customers and prospects</li><li>
Our Customer Success, Sales Engineering, and Sales teams</li></ul>
Benefits &amp; Perks:<ul><li>
Competitive compensation package, stock option grants, and a 401(k) plan with 4% employer match</li><li>
Medical, dental, and vision plans with 100% premiums covered, 12 weeks of paid parental leave, flexible spending accounts (FSAs), and more</li><li>
Unlimited PTO</li><li>
Fully stocked kitchen and weekly catered breakfast/lunch at our NYC office</li><li>
CitiBike and Wellhub (Gympass) memberships</li><li>
Monthly happy hours and team events</li></ul>
Benefits offering details will be provided if a candidate receives an offer. Benefits may also vary by location.
About Us
Radar is location infrastructure for every product and service. Companies like Vercel, Panera, and T-Mobile use Radar's geofencing SDKs and maps APIs to power location-based experiences across hundreds of millions of devices worldwide.
Founded in 2016, Radar is headquartered in New York, NY. Radar has raised $85.5M from leading venture capital firms including Accel and Insight Partners.
Compensation:
For candidates based in the United States, the base salary range for this full-time position is between $150,000 - $250,000/year with an opportunity for performance bonuses and incentives.
In addition to cash compensation, Radar offers full-time employees stock option grants under its equity plan. This is a meaningful ownership stake in the company we provide to our employees as we build a category-defining company.
Our salary ranges are determined by role, level, and location. The range displayed on this job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Your exact offer may vary based on market location, job-related skills, experience, and relevant education or training.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.
Compensation Range: $150K - $250K</div>

Data Platform Engineer

Property Finder

<div>
 Property Finder is the leading property portal in the Middle East and North Africa (MENA) region, dedicated to shaping an inclusive future for real estate while spearheading the region&rsquo;s growing tech ecosystem. At its core is a clear and powerful purpose: To change living for good in the region.
 
 
 Founded on the value of great ambitions, Property Finder connects millions of property seekers with thousands of real estate professionals every day. The platform offers a seamless and enriching experience, empowering both buyers and renters to make informed decisions. Since its inception in 2007, Property Finder has evolved into a trusted partner for developers, brokers, and home seekers. As a lighthouse tech company, it continues to create an environment where people can thrive and contribute meaningfully to the transformation of real estate in MENA.
 
 
 
 The Position
 
 
 Reports To
 
 
 
 Principle MarTech Manager
 
 
 
 Overview:
 
 
 
 We are seeking a
 
 MarTech /Growth Engineer
 
 to join our growing
 
 Growth Engineering
 
 team. This role sits at the intersection of marketing, product, engineering, and analytics. If you're a data-driven technologist passionate about scaling high-growth initiatives through cutting-edge marketing infrastructure, this is your opportunity.
 
 
 
 Role Overview
 
 
 
 As a MarTech / Growth Engineer, you will be a hands-on technical contributor responsible for integrating, managing, and optimizing Property Finder&rsquo;s marketing technology stack. You will collaborate with Growth, Product Marketing, Data, and Engineering teams to design reliable data pipelines, develop personalized user experiences, and build automation that powers measurable marketing outcomes.
 
 
 
 Key Responsibilities
 
 
 
 
 MarTech Stack Ownership
 
 
 
 <ul>
 <li>
 Configure, optimize, and maintain tools such as Tealium CDH, Braze, Split.io, GTM, GA4, Firebase, Adjust/Kochava, Supermetrics, Instapage, Zapier, and others.
 </li>
 <li>
 Ensure smooth interoperability between platforms across web, app, CRM, and campaign execution layers.
 
 
 </li>
 </ul>
 
 Data Integration &amp; Governance
 
 
 
 <ul>
 <li>
 Integrate 1st-party data from various sources, ensuring consistency, completeness, and compliance with data policies.
 </li>
 <li>
 Build scalable data flows and map event schemas across platforms like CDPs, CRMs, and analytics tools.
 </li>
 <li>
 Maintain robust documentation of data lineage, ownership, and transformations throughout the stack.
 
 
 </li>
 </ul>
 
 Tracking &amp; Attribution
 
 
 
 <ul>
 <li>
 Implement and QA web/app tracking, JavaScript tags, image pixels, and deeplink architecture for accurate funnel measurement.
 </li>
 <li>
 Define and manage multi-touch attribution models to evaluate marketing effectiveness across channels.
 
 
 </li>
 </ul>
 
 Automation &amp; Enablement
 
 
 
 <ul>
 <li>
 Build and manage automated workflows using tools like Zapier, Braze, and internal APIs to streamline campaign operations.
 </li>
 <li>
 Collaborate with lifecycle marketing teams to enable personalized, event-based communications and user journeys.
 
 
 </li>
 </ul>
 
 Insights &amp; Analytics Enablement
 
 
 
 <ul>
 <li>
 Analyze behavioral, campaign, and funnel data from MarTech systems to generate insights and recommendations.
 </li>
 <li>
 Collaborate with data analysts and product managers to develop dashboards and models for marketing decision-making.
 
 
 </li>
 </ul>
 
 Quality &amp; Compliance
 
 
 
 <ul>
 <li>
 Establish QA processes to validate implementation, tagging, and data output.
 </li>
 <li>
 Support GDPR/CCPA compliance by aligning with consent management and data access policies.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Must-Have:
 
 
 
 <ul>
 <li>
 5+ years of hands-on experience managing complex marketing technology stacks in digital-first companies.
 </li>
 <li>
 Proficiency in tools such as Tealium, Braze, Firebase, GTM, Adjust, GA4, and app/web tracking tools.
 </li>
 <li>
 Deep understanding of marketing data architecture, event tracking frameworks, and cross-device identity resolution.
 </li>
 <li>
 Strong skills in JavaScript, DOM manipulation, browser dev tools, and debugging tracking issues.
 </li>
 <li>
 Working knowledge of RESTful APIs, SQL, and data payload structures.
 </li>
 <li>
 Experience with mobile tracking (iOS/Android), deeplinking, and remote command configurations.
 </li>
 <li>
 Strong grasp of attribution modeling, user journey tracking, and performance marketing metrics.
 </li>
 <li>
 Exceptional communication and collaboration skills; proven success working across marketing, engineering, and product teams.
 
 
 </li>
 </ul>
 
 Nice-to-Have:
 
 
 
 <ul>
 <li>
 Experience in PropTech, two-sided marketplaces, or B2B2C platforms.
 </li>
 <li>
 Exposure to warehouse-native CDPs (e.g., Hightouch, Census) or composable MarTech architectures.
 </li>
 <li>
 Familiarity with lead scoring, CRM enrichment, and segmentation logic.
 </li>
 <li>
 Experience implementing Consent Management Platforms (CMPs) and privacy-first marketing strategies.
 </li>
 <li>
 Knowledge of generative AI, ML-driven personalization, or campaign optimization.
 
 
 </li>
 </ul>
 
 Personal Attributes
 
 
 
 <ul>
 <li>
 Proactive: You take full ownership of outcomes and anticipate what&rsquo;s needed.
 </li>
 <li>
 Analytical: You don&rsquo;t just troubleshoot&mdash;you optimize.
 </li>
 <li>
 Detail-Oriented: You catch what others miss; accuracy is your default.
 </li>
 <li>
 Collaborative: You&rsquo;re able to interface seamlessly with both technical and non-technical teams.
 </li>
 <li>
 Curious &amp; Adaptable: You stay on top of MarTech innovations and adapt quickly to changing tech or business needs.
 </li>
 <li>
 Resilient: You remain calm and focused under pressure and tight deadlines.
 </li>
 <li>
 Self-Starter: Able to prioritize independently and drive results without waiting for direction.
 
 
 </li>
 </ul>
 
 Qualifications &amp; Education
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, MCA, or a related field.
 
 
 </li>
 </ul>
 
 Our promise to talent
 
 
 
 At Property Finder, we believe talent thrives in an environment where you can be your best self. Where you are empowered to create, elevate, grow, and care. Our team is made up of the best and brightest, united by a shared ambition to change living for good in the region. We attract top talent who want to make an impact. We firmly believe that when our people grow, we all succeed.
 
 
 
 Property Finder Guiding Principles
 
 
 
 <ul>
 <li>
 Think Future First
 </li>
 <li>
 Data Beats Opinions, Speed Beats Perfection
 </li>
 <li>
 Optimise for Impact
 </li>
 <li>
 No Ostriches Allowed
 </li>
 <li>
 Our People, Our Power
 </li>
 <li>
 The Biggest Risk is Taking no Risk at All
 
 
 </li>
 </ul>
 
 Find us at:
 
 
 
 Twitter
 
 
 Facebook
 
 
 Instagram
 
 
 Linkedin
 
 
 Glassdoor
</div>

Growth Platform Engineer

Zywave, Inc.

<div>Job Title: Senior Data Platform Engineer 
Location: Pune, India 
Work Mode: Work From Office (WFO), 5 Days a Week 
Shift Timing: 12:00 PM &ndash; 9:00 PM IST
<h3 class="jobSectionHeader">
About Zywave</h3>

Zywave is a leading provider of InsurTech solutions, empowering insurance brokers and agencies with innovative software tools to grow and manage their business. We are building a modern data platform to deliver scalable, secure, and high-performance solutions that drive actionable insights across the organization.
<h3 class="jobSectionHeader">
Job Summary</h3>

We are looking for a highly skilled and experienced Senior Data Platform Engineer to lead the design, development, and optimization of our enterprise data platform. The ideal candidate will have deep expertise in Snowflake, ELT pipelines, DBT, and Azure Data Factory and will play a key role in enabling data-driven decision-making across Zywave.
<h3 class="jobSectionHeader">
Key Responsibilities</h3>
<ul><li>
Design and implement scalable ELT pipelines using DBT and Azure Data Factory to ingest, transform, and load data into Snowflake.
</li><li>
Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver robust data models.
</li><li>
Optimize Snowflake performance through clustering, partitioning, and query tuning.
</li><li>
Develop and maintain reusable DBT models and documentation for data consistency and transparency.
</li><li>
Ensure data quality, governance, and security across the platform.
</li><li>
Monitor and troubleshoot pipeline issues; implement proactive and scalable solutions.
</li><li>
Lead code reviews, mentor junior engineers, and drive best practices in data engineering.
</li><li>
Stay current with emerging technologies and recommend enhancements to the data platform architecture.
</li></ul>
<h3 class="jobSectionHeader">Qualifications</h3>
<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or related field.
</li><li>
8+ years of experience in data engineering or data platform development.
</li><li>
Strong hands-on expertise in Snowflake, DBT, Azure Data Factory, and ELT pipeline design.
</li><li>
Proficiency in SQL and Python for data manipulation and automation.
</li><li>
Experience with CI/CD tools and version control systems (e.g., Git).
</li><li>
Familiarity with data governance, security, and compliance standards.
</li><li>
Strong problem-solving skills and ability to work independently as well as in teams.
</li><li>
Solid understanding of data warehousing concepts and dimensional modeling.
</li><li>
Exposure to Tableau, Power BI, or similar visualization tools is a plus.
</li><li>
Snowflake certification is an advantage.
</li></ul>
<h3 class="jobSectionHeader">Skills</h3>

Mandatory: Git, Snowflake, DBT, Python, SQL 
Good to Have: Azure Data Factory, ETL, AWS Glue, Tableau, Power BI, Prompt Engineering 
Domain Knowledge: Insurance domain exposure preferred 


#LI-MB1
Mandatory: Git, Snowflake, DBT, Python, SQL 
Good to Have: Azure Data Factory, ETL, AWS Glue, Tableau, Power BI, Prompt Engineering 
Domain Knowledge: Insurance domain exposure preferred</div>

Senior Data Platform Engineer

Accenture

Project Role : Data Platform Engineer 
Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
 
Must have skills : MySQL Database Administration 
Good to have skills : MariaDB 
Minimum 2 year(s) of experience is required 
Educational Qualification : any graduate 
 
Summary: As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to enhance the overall data architecture and platform efficiency. You will be involved in various stages of the data platform lifecycle, ensuring that all components work seamlessly together to support organizational goals and data-driven decision-making. Roles &amp; Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Engage in continuous learning to stay updated with the latest trends and technologies in data platforms. - Assist in troubleshooting and resolving data-related issues to maintain system integrity. Professional &amp; Technical Skills: - Must To Have Skills: Proficiency in MySQL Database Administration. - Good To Have Skills: Experience with MariaDB. - Strong understanding of database design principles and data modeling. - Experience in performance tuning and optimization of MySQL databases. - Familiarity with backup and recovery strategies for MySQL databases. Additional Information: - The candidate should have minimum 2 years of experience in MySQL Database Administration. - This position is based at our Hyderabad office. - A any graduate is required.
 
any graduate

Project Role : Data Platform Engineer 
Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
 
Must have skills : Data Engineering 
Good to have skills : NA 
Minimum 3 year(s) of experience is required 
Educational Qualification : 15 years full time education 
 
Summary: As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to enhance the overall data architecture strategy. You will be actively involved in problem-solving and contributing to the development of innovative solutions that align with the organization's data objectives. Roles &amp; Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Engage in continuous learning to stay updated with industry trends and best practices. - Assist in the documentation of data architecture and integration processes. Professional &amp; Technical Skills: - Must To Have Skills: Proficiency in Data Engineering. - Strong understanding of data modeling concepts and practices. - Experience with ETL (Extract, Transform, Load) processes and tools. - Familiarity with cloud data platforms and services. - Knowledge of data governance and data quality principles. Additional Information: - The candidate should have minimum 3 years of experience in Data Engineering. - This position is based at our Bengaluru office. - A 15 years full time education is required.
 
15 years full time education

Crystal Intelligence

<div>Position Summary:
 
 
We are looking for a talented Senior Data Platform Engineer to join our Blockchain team, to participate in the development of the data collection and processing framework to integrate new chains. This is a remote role and we are flexible with considering applications from anywhere in Europe.
 
 
More details: crystalblockchain.com
 
 
Duties and responsibilities:
<ul><li>Integration of blockchains, Automated Market Maker (AMM) protocols, and bridges within Crystal's platform;
</li></ul><ul><li>Active participation in development and maintenance of our data pipelines and backend services;
</li></ul><ul><li>Integrate new technologies into our processes and tools;
</li></ul><ul><li>End-to-end feature designing and implementation;
</li></ul><ul><li>Code, debug, test and deliver features and improvements in a continuous manner;
</li></ul><ul><li>Provide code review, assistance and feedback for other team members.
</li></ul>Required:
<ul><li>8+ years of experience developing Python backend services and APIs;
</li></ul><ul><li>Advanced knowledge of SQL - ability to write, understand and debug complex queries;
</li></ul><ul><li>Data Warehousing and database basic architecture principles;
</li></ul><ul><li>POSIX/Unix/Linux ecosystem knowledge;
</li></ul><ul><li>Strong knowledge and experience with Python, and API frameworks such as Flask or FastAPI;
</li></ul><ul><li>Knowledge about blockchain technologies or willingness to learn;
</li></ul><ul><li>Experience with PostgreSQL database system;
</li></ul><ul><li>Knowledge of Unit Testing principles;
</li></ul><ul><li>Experience with Docker containers and proven ability to migrate existing services;
</li></ul><ul><li>Independent and autonomous way of working;
</li></ul><ul><li>Team-oriented work and good communication skills are an asset.
</li></ul>Would be a plus:
<ul><li>Practical experience in big data and frameworks &ndash; Kafka, Spark, Flink, Data Lakes and Analytical Databases such as ClickHouse;
</li></ul><ul><li>Knowledge of Kubernetes and Infrastructure as Code &ndash; Terraform and Ansible;
</li></ul><ul><li>Passion for Bitcoin and Blockchain technologies;
</li></ul><ul><li>Experience with distributed systems;
</li></ul><ul><li>Experience with opensource solutions;
</li></ul><ul><li>Experience with Java or willingness to learn.</li></ul></div>

Senior Data Platform Engineer (Remote)

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