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 : Python (Programming Language) 
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 in the development and design of the data platform blueprint, ensuring that all relevant components are effectively integrated. Your typical day will involve collaborating with Integration Architects and Data Architects to create a cohesive environment that supports data models and system integration, while also addressing any challenges that arise in the process. 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 technologies. - Support the team in troubleshooting and resolving data-related issues. Professional &amp; Technical Skills: - Must To Have Skills: Proficiency in Python (Programming Language). - Strong understanding of data structures and algorithms. - Experience with data integration tools and techniques. - Familiarity with cloud platforms and services related to data management. - Ability to write efficient and maintainable code. Additional Information: - The candidate should have minimum 3 years of experience in Python (Programming Language). - This position is based at our Bengaluru office. - A 15 years full time education is required.
 
15 years full time education

Data Platform Engineer

BioNTech

<div>Cambridge, US; Gaithersburg, US; London, United Kingdom; Mainz, Germany | full time | Job ID: 11063 


About the Role: 

As a Clinical Data Platform Engineer, you will play a pivotal role in maintaining and enhancing BioNTech&rsquo;s GxP-aligned clinical data platform. Built on Databricks and operating on AWS, this platform is implemented using Terraform-based Infrastructure-as-Code (IaC). Your work will be integral to ensuring the platform's reliability, compliance, scalability, and security while supporting high-quality clinical data workflows. Collaborating closely with multidisciplinary teams, you will contribute to advancing BioNTech&rsquo;s mission of revolutionizing medicine and improving global health. 


Your Contribution: 

<ul>
<li>Partner with Solutions Architects to design and execute platform integrations and roadmaps</li>
<li>Collaborate with Data Engineers to ensure reliable pipeline operations and scalable platform patterns</li>
<li>Work alongside Clinical Data Managers to enable compliant access and workflow readiness</li>
<li>Engage with Cloud, Security, and QA teams to ensure aligned operations within a validated environment</li>
<li>Manage user provisioning and enforce validated configuration baselines for auditability controls</li>
<li>Operate Databricks workspaces across environments while managing supporting AWS components</li></ul> 


A Good Match: 

<ul>
<li>Bachelor&rsquo;s degree or equivalent experience in computer science, engineering, or related fields with 5&ndash;8+ years of experience in cloud-based data platforms (AWS), and 2&ndash;4+ years in Databricks administration, workspace configuration, and large‑scale data ecosystems</li>
<li>Experience in GxP/GCP environments, auditability, data integrity requirements, and regulated data systems</li>
<li>Familiarity with clinical data ecosystems (CDR/ODR, CRO data ingestion, study onboarding processes)</li>
<li>Strong understanding of the Product Life Cycle of software products</li>
<li>Expertise in Databricks Delta Sharing, service principal management, and multi-workspace architectures</li>
<li>Advanced troubleshooting skills across Databricks compute/runtime environments, AWS infrastructure components, and Terraform state management</li>
<li>Proficiency in AWS IAM policies, KMS encryption services, Secrets Manager functionality, and S3 cloud storage patterns</li>
<li>Practical experience with IAM configurations, network security protocols, S3 patterns for encryption workflows, and cloud governance frameworks</li>
<li>Applied technical proficiency with IaC tools such as Terraform; GitHub version control; automated CI/CD pipelines</li>
<li>Collaborative mindset with excellent communication skills for multidisciplinary team environments</li></ul> 


If the position is filled in the US, the Expected Pay Range is 130,800/year to $209,400/year + benefits, annual bonus &amp; equity (bonus and equity is variable and dependent on company and individual performance). Compensation for the role will depend on several factors, including responsibilities of the job, education, experience, knowledge, skills, and abilities. Compensation at other locations may vary significantly. 

Your Benefits: 

BioNTech is committed to the wellbeing of our team members and offers a variety of benefits in support of our diverse employee base. We offer competitive remuneration packages which is determined by the specific role, location of employment and also the selected candidate&rsquo;s qualifications and experience. 

Note: The availability, eligibility and design of the listed benefits may vary depending on the location. The final requirements for the individual use of our benefits are based on the company's internal policies and applicable law. 

How to apply: 
Apply now by sending us your application documents including Curriculum Vitae, copy of ID, copies of degree certificates and professional certificates, motivation letter as well as your contact details via our online form. 

Please note:
Only applications sent via our online form shall be considered. By submitting your application, you acknowledge that a background check will be conducted as part of the recruitment process in accordance with applicable laws and regulations. If you are considered for the position, BioNTech will conduct the background check through our service provider &lsquo;HireRight&rsquo;. You will be informed accordingly by your BioNTech-Recruiter. 

We are looking forward receiving your application.
<div><div>Inspired? Become part of #TeamBioNTech.
BioNTech, the story
At BioNTech, we are more than just a biotechnology company &ndash; we are a community of innovators, scientists, and leaders dedicated to revolutionizing medicine by translating cutting-edge science into survival. Your contributions here have the potential to improve the health of people worldwide, especially by addressing diseases with high medical needs like cancer and various infectious diseases.
Experience a dynamic workplace that embraces diversity in all its forms. We foster innovation, encourage creativity, and develop business strategies driven by our shared passion for advancing medicine.
Working at BioNTech means striving to achieve medical breakthroughs while growing your career in a meaningful way. Apply today and become part of a mission that has the potential to change lives around the world.
BioNTech does not tolerate discrimination, favoritism or harassment based on gender, political views, religion or belief, nationality, ethnic or social origin, age, sexual orientation, marital status, disability, physical appearance, health status or any other physical or personal characteristics. BioNTech is committed to creating a diverse and inclusive work environment. We are proud to be an equal opportunity employer. The main thing is that you suit us, and we suit you!
BioNTech - As unique as you
www.biontech.com</div></div></div>

(Sr) Manager, Clinical Data Platform Engineer

Inventive Research Group

Location: Bahria Town, Lahore (Onsite)Working Hours: 10:00 AM &ndash; 07:00 PM (Monday &ndash; Friday)Job Type: Full-timeRole OverviewWe are looking for a Python-first Engineer to own and evolve our Apache Airflow ecosystem. This is a pure engineering role&mdash;not a BI or reporting position. You will be responsible for architecting the &quot;engine&quot; behind our data movement, moving beyond simple cron jobs to design sophisticated, production-grade orchestration systems. If you have deep experience with the TaskFlow API, distributed task execution, and containerized data environments, we want to hear from you.Experience Requirements (Non-Negotiable)<ul><li>3+ years of hands-on production experience with Apache Airflow (2.x). Must be comfortable with DAG design patterns and the TaskFlow API.</li><li>4+ years in Software or Data Engineering with a strong focus on backend systems.</li><li>Advanced Python proficiency: Writing modular, testable code using Pytest and following PEP 8 standards.</li><li>Infrastructure Mastery: Proven experience with Docker/Docker Compose, PostgreSQL metadata management, and Redis-based messaging.</li><li>Distributed Systems: Clear understanding of Celery Executor concepts and XCom backend optimization.</li></ul>Key Responsibilities1. Data Platform &amp; Orchestration Engineering<ul><li>Build and maintain production-grade Airflow DAGs that are resilient and scalable.</li><li>Architect clean Extract &rarr; Transform &rarr; Load layers with a focus on reusability.</li><li>Develop shared ingestion frameworks and modular &quot;plug-and-play&quot; data modules.</li><li>Implement rigorous schema validation (JSON Schema) and dynamic task execution logic.</li><li>Design advanced retry strategies, custom operators, and failure handling mechanisms.</li></ul>2. Distributed Workflow &amp; Messaging<ul><li>Optimize the Celery Executor and manage Redis message brokering for high-volume tasks.</li><li>Maintain the integrity of PostgreSQL metadata and monitor pipeline state/health.</li><li>Implement best practices for logging, traceability, and platform-wide observability.</li></ul>3. Infrastructure &amp; Engineering Excellence<ul><li>Manage environment separation (Dev/Staging/Prod) using containerized workflows.</li><li>Standardize repository organization and enforce strict Git workflow discipline.</li><li>Integrate CI/CD pipelines to automate the deployment of data workflows.</li><li>Handle production data incidents with a focus on root-cause analysis and long-term resilience.</li></ul>What We&rsquo;re Looking For<ul><li>Systems-thinking mindset: You don't just fix a bug; you fix the architecture that allowed it.</li><li>Reliability Obsession: You build pipelines that fail gracefully and recover automatically.</li><li>Clean Code Advocate: You believe data code should be as rigorous as application code.</li><li>Ownership: You take pride in the uptime and health of the platforms you build.</li></ul>Job Type: Full-timePay: Rs300,000.00 - Rs400,000.00 per monthWork Location: In person

Senior Data Platform Engineer (Python & Airflow)

Zoom Communications

<div>Immigration sponsorship is not available for this position 
Big Data Platform Engineer (Kubernetes + Spark/Flink/Trino)
What you can expect
We are seeking a Big Data Platform Engineer with excellent development and automation expertise to design, implement, and optimize reliable infrastructure services for data pipelines. The ideal candidate will be a self-motivated individual, committed to continuously improving systems and processes to achieve exceptional results. You will leverage a diverse set of tools and technologies to drive innovation and enhance the efficiency of our data infrastructure. 
About the Team
The Big Data Infrastructure team is responsible for building and operating the large-scale data platforms that power Zoom&rsquo;s products. The team collects and processes data from multiple product sources, including server logs, databases, and client telemetry. Transforms the data into a unified data lake that supports both operational troubleshooting and long-term business insights.
The team owns the end-to-end big data infrastructure, including data ingestion, streaming and batch processing, storage, governance, monitoring, and access control. They are transitioning from managed cloud services to a custom, open-source, Kubernetes-based big data platform. 
Responsibilities<ul>
<li>
Understanding Big Data architecture and researching, providing proven solutions for large-scale data processing platforms and defining automated approaches to build and update Big Data infrastructure.</li>
<li>
Developing, enhancing, and maintaining open source data analytics services running on Kubernetes, while leading major projects end to end across internal and external teams.</li>
<li>
Designing and implementing advanced monitoring systems for the Big Data platform, defining operational and service-quality metrics.</li>
<li>
Establishing goals and quality standards to continuously improve platform reliability and meet business and operational requirements.</li>
<li>
Collaborating closely with Big Data engineers to ensure smooth data ingestion, transformation, and data-at-rest processes.</li>
<li>
Driving issue resolution by supporting issue replication and performing root cause analysis in development environments.</li></ul> 
What we&rsquo;re looking for<ul>
<li>
Possess 5+ years of recent experience as a Big Data infrastructure engineer and hold a Bachelor&rsquo;s degree or higher in Computer Science or a related field.</li>
<li>
Report to the hiring manager and collaborate with multiple teams within the Zoom Meeting Vertical.</li>
<li>
Develop and automate infrastructure build-up and changes using Java, Python, and shell scripting, leveraging AWS manageability and automation interfaces.</li>
<li>
Demonstrate experience with AWS, OCI, and Azure cloud services (e.g., EC2, S3, VPC), and apply strong system design and infrastructure management principles.</li>
<li>
Manage and develop Big Data platforms based on Spark, Flink, Trino, and alternative open-source solutions running on Kubernetes, including platform and service troubleshooting.</li>
<li>
Leverage programming experience with Java, Terraform, Ansible, and other infrastructure-as-code tools, while learning new languages as needed and demonstrating a collaborative mindset focused on quality work and team problem-solving.</li>
</ul>
Salary Range or On Target Earnings:
Minimum:
$124,000.00
Maximum:
$271,200.00
In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.
Note: Starting pay will be based on a number of factors and commensurate with qualifications &amp; experience.
We also have a location based compensation structure; there may be a different range for candidates in this and other locations
At Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application!<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div>
Anticipated Position Close Date:</div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>
05/01/26
Ways of Working 
Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.
Benefits 
As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways.
About Us 
Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars. 
We&rsquo;re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment. 
Our Commitment
At Zoom, we believe great work happens when people feel supported and empowered. We&rsquo;re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know&mdash;we&rsquo;re here to support you at every step. 
If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.</div>

Big Data Platform Engineer (Kubernetes + Spark/Flink/Trino)

Genpact

<div><div><div>Ready to build the future with AI? 
At Genpact, we don&rsquo;t just keep up with technology&mdash;we set the pace. AI and digital innovation are redefining industries, and we&rsquo;re leading the charge. Genpact&rsquo;s AI Gigafactory, our industry-first accelerator, is an example of how we&rsquo;re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies&rsquo; most complex challenges. 
If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what&rsquo;s possible, this is your moment. 
Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions &ndash; we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. 
Inviting applications for the role of Lead Consultant- Monitoring and Security AWS Data Platform Engineer 
In this role, you will be working as a Monitoring and Security AWS Data Platform Engineer, who must Implement, Perform, Provide Technical Support, Recommend Support, and Create Documentation. 
Responsibilities 
<ul><li>Design, develop, and maintain a highly scalable data platform on AWS, ensuring robust performance and reliability.</li><li>Write clean, efficient, and maintainable code to support data platform functionalities and automation needs.</li><li>Serve as a Subject Matter Expert (SME) for AWS tools, services, and best practices, guiding the team in optimal cloud usage.</li><li>Collaborate effectively with team members and leadership to deliver high-quality solutions and meet project objectives.</li><li>Maintain comprehensive technical documentation and ensure knowledge bases are regularly updated to support internal and cross‑team collaboration.</li><li>Provide mentorship and support to junior team members through active listening, guidance, and knowledge sharing.</li><li>Monitor and troubleshoot data pipelines, identifying and resolving issues related to data processing, data consistency, and performance bottlenecks.</li><li>Implement data ingestion workflows from diverse data sources, databases, and APIs into Amazon S3.</li><li>Develop applications, scripts, or automation processes for handling and processing data across AWS services.</li><li>Provision and manage cloud infrastructure using Terraform.</li><li>Work with and coordinate AWS services including Amazon ECS, Amazon RDS, IAM, CloudWatch, VPC, Serverless technologies, AWS Glue, DynamoDB, EMR, and Amazon S3.</li></ul></div><div>
Qualifications we seek in you! 
Minimum Qualifications</div><ul><li>Bachelor's degree in computer science or related field.</li><li>Excellent problem-solving and analytical skills.</li><li>Strong communication and collaboration abilities</li><li>Ability to work independently and as part of a team.</li><li>Strong communication and documentation skills</li></ul>
Preferred Qualifications/ Skills<ul><li>Strong proficiency in Python for building data processing scripts and automation.</li><li>Hands‑on experience with ETL frameworks for data ingestion, transformation, and pipeline development.</li><li>Working knowledge of Amazon Athena for querying data in S3.</li><li>Experience with Terraform for infrastructure provisioning and IaC (Infrastructure as Code).</li><li>Proficiency in Amazon S3 for storage management and data lake operations.</li><li>Experience building serverless data workflows using AWS services (e.g., Lambda).</li><li>Strong knowledge of AWS Glue for ETL development and orchestration.</li><li>Experience with Amazon RDS, Amazon ECS, AWS Step Functions, and DynamoDB.</li><li>Familiarity with logging, monitoring, and observability tools such as Splunk, Cribl, and New Relic.</li><li>Exposure modern data tools like Upsolver or Metabase.</li></ul><div> 
Why join Genpact? 
<ul><li>Lead AI-first transformation &ndash; Build and scale AI solutions that redefine industries</li><li>Make an impact &ndash; Drive change for global enterprises and solve business challenges that matter</li><li>Accelerate your career&mdash;Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills</li><li>Grow with the best &ndash; Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace</li><li>Committed to ethical AI &ndash; Work in an environment where governance, transparency, and security are at the core of everything we build</li><li>Thrive in a values-driven culture &ndash; Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress</li></ul>
Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. 
Let&rsquo;s build tomorrow together. 
 
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. 
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.</div></div> 
JobLead Consultant
Primary LocationIndia-Hyderabad
ScheduleFull-time
Education LevelBachelor's / Graduation / Equivalent
Job PostingFeb 17, 2026, 8:49:25 AM
Unposting DateOngoing
Master Skills ListConsulting
Job CategoryFull Time</div>

Lead Consultant- Monitoring and Security AWS Data Platform Engineer

Stellar Hunters

<div>We are seeking a strategic and technically skilled Data Engineer to join our data and engineering team. The ideal candidate will design, build, and maintain scalable data pipelines and platforms that enable analytics, machine learning, and business intelligence across the organization. This role requires strong software engineering practices, experience with cloud data architectures, ETL/ELT development, data modeling, and collaboration with product, analytics, and operations teams to deliver reliable, high-performance data solutions.<h3 class="jobSectionHeader">
Key Responsibilities for Data Engineer - Pipeline Development, Platform &amp; Reliability</h3><ul><li>
Design, develop, and operate robust ETL/ELT pipelines to ingests, transform, and deliver data from a variety of sources to data warehouses, data lakes, and downstream consumers.</li><li>
Build and maintain scalable data platforms and services in cloud environments (e.g., AWS, GCP, Azure), leveraging managed services and infrastructure as code for repeatable deployments.</li><li>
Implement and enforce data modeling standards, schema design, and metadata management to support analytics, BI, and ML use cases; collaborate with data analysts and scientists on schema requirements.</li><li>
Optimize data storage and query performance through partitioning, indexing, materialized views, and query tuning to meet latency and cost objectives.</li><li>
Develop automated data quality checks, monitoring, observability, and alerting to ensure data reliability and to quickly detect and remediate issues.</li><li>
Collaborate with product, engineering, and analytics partners to prioritize data work, support feature launches, and integrate data requirements into development lifecycles.</li><li>
Apply software engineering best practices&mdash;including testing, CI/CD, code reviews, and documentation&mdash;to data pipelines, transformations, and platform components.</li><li>
Support data governance, security, and access controls by implementing role-based access, encryption, and compliance-minded practices in collaboration with security and privacy teams.</li><li>
Identify opportunities to automate manual processes, reduce technical debt, and improve performance and cost-efficiency of data infrastructure.</li><li>
Mentor junior engineers, contribute to team processes and playbooks, and present technical designs and project progress to stakeholders as needed.</li></ul><h4 class="jobSectionHeader">
Required Qualifications - Data Engineer Skills &amp; Experience</h4><ul><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, Mathematics, or related field, or equivalent practical experience.</li><li>
3+ years of hands-on experience building and operating data pipelines, ETL/ELT processes, or data platform components in a production environment.</li><li>
Proficiency with one or more programming languages used for data engineering (e.g., Python, Scala, Java) and experience with workflow/orchestration tools (e.g., Airflow, Prefect, dbt).</li><li>
Experience with cloud data services and storage technologies (e.g., Amazon Redshift, Snowflake, BigQuery, S3, GCS) and familiarity with cloud compute services (e.g., EMR, Dataproc, Glue, Kubernetes).</li><li>
Strong SQL skills and experience designing data models for analytics and reporting; understanding of normalization, dimensional modeling, and star/snowflake schemas.</li><li>
Familiarity with data quality frameworks, monitoring, logging, and observability practices; experience implementing automated tests for data pipelines.</li><li>
Knowledge of data security, privacy principles, and access control mechanisms; experience working with PII-sensitive data and compliance controls is a plus.</li><li>
Excellent problem-solving, communication, and collaboration skills; ability to translate business requirements into scalable technical solutions.</li></ul><h4 class="jobSectionHeader">
Preferred Qualifications - Tools, Certifications &amp; Domain Experience</h4><ul><li>
Experience with modern data engineering tooling such as dbt, Kafka, Spark, Flink, or similar streaming/batch frameworks.</li><li>
Hands-on experience with infrastructure-as-code (e.g., Terraform, CloudFormation), containerization, and CI/CD for data workloads.</li><li>
Familiarity with BI tools (e.g., Looker, Tableau, Power BI) and experience enabling self-service analytics for business users.</li><li>
Advanced degree in a technical discipline, relevant certifications, or prior experience in a fast-growing SaaS or data-driven organization is a plus.</li></ul><h5 class="jobSectionHeader">
Work Environment &amp; Compensation - Data Engineer Salary &amp; Benefits</h5><ul><li>
Full-time position with an onsite work model.</li><li>
Competitive salary commensurate with experience and a comprehensive benefits package, including health insurance, retirement plan options, and paid time off.</li><li>
Opportunities for professional development, training, and support for certifications; clear paths for career growth within a collaborative and inclusive team environment.</li><li>
Culture that values diversity, equity, and inclusion, work-life balance, and employee well-being.</li></ul></div>

Data Engineer

Procore Technologies

<div><h1 class="jobSectionHeader">Job Ad</h1>
We&rsquo;re looking for a Principal Database Platform Engineer to join Procore&rsquo;s Database Reliability Engineering team. In this role, you&rsquo;ll help build Procore&rsquo;s next-generation construction data platform for others to build upon, including Procore developers, analysts, partners, and customers.
As a Principal Database Platform Engineer, you&rsquo;ll partner with other engineers and product managers across Product &amp; Technology to develop data platform capabilities that enable the storage and management of data for use in transactional and analytical applications. To be successful in this role, you&rsquo;re passionate about distributed data storage systems on the cloud with experience in non-relational (NoSQL) or relational (SQL) databases. If you&rsquo;re an engineer comfortable and excited about building our next-generation data platform and translating problems into pragmatic solutions that open up the boundaries of technical possibilities&mdash;we&rsquo;d love to hear from you!
This position will report to the Manager of Database Systems and will be based in our Bengaluru, India office. We're looking for someone to join us immediately.
What you&rsquo;ll do:<ul>
<li>
Play a lead role in the design and implementation of our next-generation data platform for the construction industry, primarily focused on building and supporting distributed SQL and NoSQL databases</li>
<li>
Support our engineering team in all phases of the software development lifecycle, including requirements gathering, functional and technical design, development, testing and roll-out, and support</li>
<li>
Help identify and propose solutions for technical gaps in our data platform by running proof of concepts and experiments</li>
<li>
Work alongside our Product, UX, and IT teams, leveraging your experience and expertise in SQL and NoSQL database technologies to influence our product roadmap, developing innovative solutions that add additional capabilities to our tools</li>
<li>
Stay up to date with and educate the organization on the latest data technology trends</li>
</ul>
What we&rsquo;re looking for:<ul>
<li>
12+ years of experience operating SQL and NoSQL databases reliably and at scale (PostgreSQL, Elasticsearch, Neo4j, DynamoDB, Mongo, Cassandra, etc.)</li>
<li>
8+ years of experience and proficiency in managing infrastructure as code using Terraform</li>
<li>
8+ years of experience operating within AWS with AWS certification preferred</li>
<li>
3+ years of experience leading database projects and mentoring other engineers</li>
<li>
Experience and proficiency in a scripting language</li>
<li>
Bachelor&rsquo;s Degree in Computer Science or a related field is preferred, or comparable work experience</li></ul></div>

Principal Database Platform Engineer

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