big data architect

Confiz

<div><p>We seek an experienced Big Data expert to lead our Big Data platform's design, development, and maintenance. Collaborating with data engineers and Big Data Business Analysts across various platform layers, you'll demonstrate a commitment to collaborative problem-solving, sophisticated design, and delivering high-quality products.</p>
<p><b>Responsibilities:</b></p>
<ul><li>Facilitate and lead the roadmap and enhancements for the enterprise Big Data platform.</li>
<li>Lead Data Engineers, Business Analysts, and BI engineers to architect and deliver the solutions that fulfill the Business information needs.</li>
<li>Ensure the design, code, and procedural aspects of the solution are production-ready, in terms of operational, security, and compliance standards.</li>
<li>Participate in day-to-day project and production delivery status meetings, and provide technical support for faster resolution of issues.</li>
<li>Yearning for continuous learning and training/mentoring future big data developers and architects.</li>
<li>Design and implement scalable, near real-time data ingestion pipelines<b> </b>to enable low-latency data processing and analytics.</li>
<li>Architect and optimize data streaming solutions to handle high-throughput, distributed systems while ensuring data consistency, reliability, and fault tolerance in near real-time workflows.</li>
</ul>
<p><b>Qualifications:</b></p>
<ul><li>14 years of experience in enterprise data architecture, integration, and analytics, with a proven track record of design and implementation of big data and analytics solutions in recent years.</li>
<li>Experience in leading a team of Data Engineers and BI Developers.</li>
<li>Bachelor&rsquo;s degree in computer science or relevant field from an accredited college or university; Master&rsquo;s degree from an accredited college or university preferred.</li>
<li>Strong technical experience in the following:</li>
<li>Big data stack and solutions, including cloud technologies.
<ul><li>Data lake architecture, including data model design and implementation (incl. relational, dimensional, and No-SQL).</li>
<li>Enterprise Application and Data Integration design and implementation (e.g. ETL, messaging, replication, and APIs).</li>
<li>Telco Domain Experience</li>
<li>Azure Solutions Architect Certification</li>
<li>Azure Data Lake, Azure Data Factory, Databricks, Azure SQL, Apache NiFi, Azure Synapse, Power BI</li>
</ul></li><li>Awareness of Data management best practices (e.g. data quality, metadata management, data lineage).</li>
<li>Awareness of Machine Learning techniques is nice to have</li>
<li>Willingness to travel to UK (25% travelling might be required)</li></ul><br>
<p>
</p><p>We have an amazing team of 700+ individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.</p>
<p>What makes Confiz stand out is our focus on processes and culture. Confiz is <b>ISO 9001:2015</b> (QMS), <b>ISO 27001:2022</b> (ISMS), <b>ISO 20000-1:2018</b> (ITSM), <b>ISO 14001:2015</b> (EMS), <b>ISO 45001:2018 </b>(OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.</p>
<p>People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.</p>
<p>To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/</p></div><p></p>

Big Data Architect

<div>
 We seek an experienced Big Data expert to lead our Big Data platform's design, development, and maintenance. Collaborating with data engineers and Big Data Business Analysts across various platform layers, you'll demonstrate a commitment to collaborative problem-solving, sophisticated design, and delivering high-quality products.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Facilitate and lead the roadmap and enhancements for the enterprise Big Data platform.
  </li>
  <li>
   Lead Data Engineers, Business Analysts, and BI engineers to architect and deliver the solutions that fulfill the Business information needs.
  </li>
  <li>
   Ensure the design, code, and procedural aspects of the solution are production-ready, in terms of operational, security, and compliance standards.
  </li>
  <li>
   Participate in day-to-day project and production delivery status meetings, and provide technical support for faster resolution of issues.
  </li>
  <li>
   Yearning for continuous learning and training/mentoring future big data developers and architects.
  </li>
  <li>
   Design and implement scalable, near real-time data ingestion pipelines to enable low-latency data processing and analytics.
  </li>
  <li>
   Architect and optimize data streaming solutions to handle high-throughput, distributed systems while ensuring data consistency, reliability, and fault tolerance in near real-time workflows.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
 </strong>
 <br/>
 <br/>
 <ul>
  <li>
   14 years of experience in enterprise data architecture, integration, and analytics, with a proven track record of design and implementation of big data and analytics solutions in recent years.
  </li>
  <li>
   Experience in leading a team of Data Engineers and BI Developers.
  </li>
  <li>
   Bachelor&rsquo;s degree in computer science or relevant field from an accredited college or university; Master&rsquo;s degree from an accredited college or university preferred.
  </li>
  <li>
   Strong technical experience in the following:
  </li>
  <li>
   Big data stack and solutions, including cloud technologies.
  </li>
  <ul>
   <li>
    Data lake architecture, including data model design and implementation (incl. relational, dimensional, and No-SQL).
   </li>
   <li>
    Enterprise Application and Data Integration design and implementation (e.g. ETL, messaging, replication, and APIs).
   </li>
   <li>
    Telco Domain Experience
   </li>
   <li>
    Azure Solutions Architect Certification
   </li>
   <li>
    Azure Data Lake, Azure Data Factory, Databricks, Azure SQL, Apache NiFi, Azure Synapse, Power BI
   </li>
  </ul>
  <li>
   Awareness of Data management best practices (e.g. data quality, metadata management, data lineage).
  </li>
  <li>
   Awareness of Machine Learning techniques is nice to have
  </li>
  <li>
   Willingness to travel to UK (25% travelling might be required)
   <br/>
  </li>
 </ul>
 We have an amazing team of 700+ individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.
 <br/>
 <br/>
 What makes Confiz stand out is our focus on processes and culture. Confiz is
 <strong>
  ISO 9001:2015
 </strong>
 (QMS),
 <strong>
  ISO 27001:2022
 </strong>
 (ISMS),
 <strong>
  ISO 20000-1:2018
 </strong>
 (ITSM),
 <strong>
  ISO 14001:2015
 </strong>
 (EMS),
 <strong>
  ISO 45001:2018
 </strong>
 (OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.
 <br/>
 <br/>
 People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.
 <br/>
 <br/>
 To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/
</div>


Quantiphi

<div><div>While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.<br>
<br>
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!</div><div></div><div>
Experience : 10+ Years</div><div><br>
Job Role - Lead Architect - Data</div><div>
We are looking for an experienced data personnel as a key member of our technology consulting team. You will play a vital role in designing, planning and implementing data solutions on AWS for our clients. This role requires expertise in migrating data from the Big data platform to AWS, thus enabling clients to leverage the full potential of cloud capabilities.</div><div>
Key Responsibilities:</div><ul><li><div>
Lead is responsible to oversee the migration and modernization of the customer&rsquo;s platform and database services from Big data tech stack to Amazon Web Services (AWS)</div></li><li><div>
Lead should provide technical guidance and mentorship to the data engineering team</div></li><li><div>
Design a robust AWS architecture for the database services, utilizing services such as Amazon RDS, Amazon Redshift, Amazon Aurora, Amazon Athena and Amazon DynamoDB</div></li><li><div>
Implement migration strategies and modernization processes, ensuring compatibility, performance, and adherence to best practices</div></li><li><div>
Collaborate closely with application and infrastructure teams to facilitate seamless integration of database services</div></li><li><div>
Identifies and implements opportunities for optimization and performance improvements during the migration</div></li><li><div>
Ensure compliance with data security, governance, and regulatory requirements during the migration</div></li></ul><div>
Must have skills:</div><ul><li><div>
Proven experience in cloud migration and modernization projects, with a strong understanding of AWS and Big data technologies.</div></li><li><div>
Strong understanding of cloud architecture principles and best practices</div></li><li><div>
Experience with data migration tools and strategies for AWS</div></li><li><div>
Understanding of AWS services such as S3, Redshift, RDS, and Data Pipeline.</div></li><li><div>
Exposure to Bigdata stacks like Sqoop,HDFS,Hive,Nifi</div></li><li><div>
Skills in designing data models.</div></li><li><div>
Proficiency in ETL (Extract, Transform, Load) processes and tools, including AWS Glue and Apache Beam.</div></li><li><div>
Knowledge of both SQL and NoSQL databases</div></li><li><div>
Proficient in scripting and automation tools using Python/pyspark, Bash, or similar languages to automate data transfer and to streamline migration processes</div></li><li><div>
Strong ability to work effectively with cross-functional teams</div></li><li><div>
Proficient in documenting migration processes and providing training/support to stakeholders</div></li><li><div>
Experience in project planning, including defining timelines, milestones, and deliverables</div></li><li><div>
Skilled in scoping, planning, and executing data-related projects while adhering to timelines and budgets</div></li><li><div>
Ability to convey data requirements and migration benefits to non-technical stakeholders</div></li><li><div>
Strong documentation skills for creating architectural documents and communicating complex concepts to non-technical stakeholders</div></li><li><div>
At least 2 Professional or Specialty level AWS certification</div></li></ul><div></div><div>
Good to have skills:</div><ul><li><div>
Experience of working for customers/workloads in one of FSI,Retail,CPG domain.</div></li><li><div>
 Exposure to IaC tools like Terraform and to CI/CD tools</div></li><li><div>
Familiarity with data virtualization (e.g., Amazon QuickSight,PowerBI, Tableau) and data governance tools (e.g., Collibra).</div></li><li><div>
Managing security, monitoring, and compliance with AWS IAM, Secrets Manager, CloudWatch, CloudTrail, and KMS.</div></li><li><div>
Exposure to Data Mesh architecture,Data Governance frameworks</div></li></ul><div><div><div><div><div><div><div><div><i>
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us</i><i>!</i></div></div></div></div></div></div></div></div></div><div></div>

Technical Architect - Data

<div><div>While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.<br>
<br>
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!</div><div>
Job Location: Mumbai, Bangalore (Offshore) (Hybrid)</div><div>
Experience : 14+ Years</div><div><br>
Job Role - Senior Lead Architect - Data</div><div>
We are looking for an experienced data personnel as a key member of our technology consulting team. You will play a vital role in designing, planning and implementing data solutions on AWS for our clients. This role requires expertise in migrating data from the Big data platform to AWS, thus enabling clients to leverage the full potential of cloud capabilities.</div><div>
Key Responsibilities:</div><ul><li><div>
Senior Lead is responsible to oversee the migration and modernization of the customer&rsquo;s platform and database services from Big data tech stack to Amazon Web Services (AWS)</div></li><li><div>
Senior Lead should provide technical guidance and mentorship to the data engineering team</div></li><li><div>
Design a robust AWS architecture for the database services, utilizing services such as Amazon RDS, Amazon Redshift, Amazon Aurora, Amazon Athena and Amazon DynamoDB</div></li><li><div>
Implement migration strategies and modernization processes, ensuring compatibility, performance, and adherence to best practices</div></li><li><div>
Collaborate closely with application and infrastructure teams to facilitate seamless integration of database services</div></li><li><div>
Identifies and implements opportunities for optimization and performance improvements during the migration</div></li><li><div>
Ensure compliance with data security, governance, and regulatory requirements during the migration</div></li></ul><div>
Must have skills:</div><ul><li><div>
Proven experience in cloud migration and modernization projects, with a strong understanding of AWS and Big data technologies.</div></li><li><div>
Strong understanding of cloud architecture principles and best practices</div></li><li><div>
Experience with data migration tools and strategies for AWS</div></li><li><div>
Understanding of AWS services such as S3, Redshift, RDS, and Data Pipeline.</div></li><li><div>
Exposure to Bigdata stacks like Sqoop,HDFS,Hive,Nifi</div></li><li><div>
Skills in designing data models.</div></li><li><div>
Proficiency in ETL (Extract, Transform, Load) processes and tools, including AWS Glue and Apache Beam.</div></li><li><div>
Knowledge of both SQL and NoSQL databases</div></li><li><div>
Proficient in scripting and automation tools using Python/pyspark, Bash, or similar languages to automate data transfer and to streamline migration processes</div></li><li><div>
Strong ability to work effectively with cross-functional teams</div></li><li><div>
Proficient in documenting migration processes and providing training/support to stakeholders</div></li><li><div>
Experience in project planning, including defining timelines, milestones, and deliverables</div></li><li><div>
Skilled in scoping, planning, and executing data-related projects while adhering to timelines and budgets</div></li><li><div>
Ability to convey data requirements and migration benefits to non-technical stakeholders</div></li><li><div>
Strong documentation skills for creating architectural documents and communicating complex concepts to non-technical stakeholders</div></li><li><div>
At least 2 Professional or Specialty level AWS certification</div></li></ul><div></div><div>
Good to have skills:</div><ul><li><div>
Experience of working for customers/workloads in one of FSI,Retail,CPG domain.</div></li><li><div>
 Exposure to IaC tools like Terraform and to CI/CD tools</div></li><li><div>
Familiarity with data virtualization (e.g., Amazon QuickSight,PowerBI, Tableau) and data governance tools (e.g., Collibra).</div></li><li><div>
Managing security, monitoring, and compliance with AWS IAM, Secrets Manager, CloudWatch, CloudTrail, and KMS.</div></li><li><div>
Exposure to Data Mesh architecture,Data Governance frameworks</div></li></ul><div><div><div><div><div><div><div><div><i>
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us</i><i>!</i></div></div></div></div></div></div></div></div></div><div></div>

Senior Technical Architect - Data

Hitachi

<p></p><div><b>Company Description</b><br>
<br>
<b>Company Description</b><br>
<br>
Our culture is defined by our values and our deep commitment to help our clients succeed. We are a division of the 38th largest company in the world and bring to bear the strength of a very large network of interconnected Hitachi companies. At the same time we remain absolutely committed to the nimble agility that helped us grow Hitachi Solutions from three founding partners to nearly 2,000 consultants, developers and support personnel all around the globe.<br>
<br>
Hitachi Solutions is a leader in providing industry solutions based on Microsoft Dynamics AX and Microsoft Dynamics CRM. Hitachi Solutions provides its customers with industry focus, software industry domain expertise, and proven tier-1 people. Hitachi Solutions works with its customers to understand their unique formula for success and develops solutions that improve their business and attain measurable results.2011, 2009, 2006 &amp; 2005 Microsoft Dynamics Partner of the Year (Finalist 2008, 2007). Microsoft Global Dynamics Award (Global Dynamics Partner of the year) 2014.
<br>
<br>
Hitachi Solutions is a core IT company of the Hitachi Group, which employs some 400,000 people worldwide. Through systems integration, we provide ideal solutions and products for customers. Headquartered in Tokyo, Japan, Hitachi Solutions' reach extends to group companies in Japan and abroad, working with a worldwide network of alliance partners. We bring solutions and products to diverse countries and regions including Asia, the United States and Europe. The flagship company in the Hitachi Group's information and communication system solutions business, Hitachi Solutions also offers solutions for social innovation such as smart cities.
<br>
<br>
For more information on Hitachi Solutions, please visit: https://web.hitachi-solutions.com<br>
<br>
<b>Job Description</b><b><br>
</b><br>
<br>
<b>JD Title :</b> <b>Azure</b> <b>Data Architect
</b><br>
<br>
<b>Experience level :</b> <b>8 Years to 14 Years
</b><br>
<br>
<b>Requirements:</b><br>
<ul><li>
Design and implement end-to-end data solutions on Microsoft Azure, including data lakes, data warehouses, and ETL/ELT processes.</li><li>
Develop scalable and efficient data architectures that support large-scale data processing and analytics workloads.</li><li>
Ensure high performance, security, and compliance within Azure data solutions.</li><li>
Know various techniques (lakehouse, warehouse) and have experience implementing them.</li><li>
Evaluate and choose appropriate Azure services such as Azure SQL Database, Azure Synapse Analytics, Azure Data Lake Storage, Azure Databricks (configuring, costing, etc), Unity Catalog, and Azure Data Factory. Should have deep knowledge and hands-on experience with these Azure Data Services.</li><li>
Ideally, knowledgeable and experienced with Microsoft Fabric.</li><li>
Work closely with business and technical teams to understand and translate data needs into robust, scalable data architecture solutions.</li><li>
Experience with data governance, data privacy, and compliance requirements.</li><li>
Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.</li><li>
Provide expertise and leadership to the development team implementing data engineering solutions.</li><li>
Collaborate with Data Scientists, Analysts, and other stakeholders to ensure data architectures align with business goals and data analysis requirements.</li><li>
Optimize cloud-based data infrastructure for performance, cost-effectiveness, and scalability.</li><li>
Analyze data workloads and recommend optimizations for performance tuning, cost management, and reducing complexity.</li><li>
Monitor and address any issues related to performance and availability in cloud-based data solutions.</li><li>
Experience in programming languages (e.g., SQL, Python, Scala). Hands-on experience using MS SQL Server, Oracle, or similar RDBMS platform.</li><li>
Experience in Azure DevOps, CI/CD pipeline development</li><li>
Hands-on experience working at a high level in architecture, data science, or combination.</li><li>
In-depth understanding of database structure principles</li><li>
Distributed Data Processing of big data batch or streaming pipelines.</li><li>
Familiarity with data visualization tools (e.g., Power BI, Tableau, etc.)</li><li>
Data Modeling and strong analytics skills. The candidate must be able to take OLTP data structures and convert them into Star Schema. Ideally, the candidate should have DBT experience along with data modeling experience.</li><li>
Problem-solving attitude, Highly self-motivated, self-directed, and attentive to detail, Ability to prioritize and execute tasks effectively.</li><li>
Attitude and aptitude are highly important at Hitachi; we are a very collaborative group.</li></ul><br>
We would like to see a blend of the following skills. Not all of these are required, however, Databricks and Spark are highly desirable:<br>
<ul><li>
Azure SQL Data Warehouse</li><li>
Azure Data Factory</li><li>
Azure Data Lake</li><li>
Azure Analysis Services</li><li>
Databricks/Spark</li><li>
Python or Scala (Python preferred)</li><li>
Data Modeling</li><li>
Power BI</li><li>
Database migration from legacy systems to new solutions</li><li>
Design conceptual, logical and physical data models using tools like ER Studio, Erwin</li></ul><br>
<b>
Qualifications</b><br>
<br>
<b>Additional Information</b><br>
<br>
<b>Beware of scams</b><br>
<br>
Our recruiting team may communicate with candidates via our @hitachisolutions.com domain email address and/or via our SmartRecruiters (Applicant Tracking System) notification@smartrecruiters.com domain email address regarding your application and interview requests.
<br>
<br>
All offers will originate from our @hitachisolutions.com domain email address. If you receive an offer or information from someone purporting to be an employee of Hitachi Solutions from any other domain, it may not be legitimate.</div>

Azure Data Architect (NA)

Renovision Automation Services Pvt. Ltd

<p><b>Experience- 10-14 years</b></p><p><b>Locations- Noida, Mumbai, Pune, Bangalore, Chennai, Hyderabad</b></p><p><b>Mandatory Experience</b></p><ul><li><b>10&ndash;14+ years</b> in data engineering/architecture</li><li>At least <b>3 years on GCP</b></li><li>Experience in <b>enterprise-scale cloud transformations &amp; D&amp;A platforms</b></li><li>Strong <b>analytical and problem-solving skills</b></li><li><b>Good Communication Skills </b></li></ul><p><b>JD-</b></p><p><b>Job Summary</b></p><p>The GCP Data Architect will lead the architecture, design, and implementation of scalable, secure, and high‑performance data platforms on Google Cloud Platform. The role involves driving data strategy, designing Warehouse / Lakehouse systems, guiding engineering teams and ensuring best‑practice-based architecture for enterprise Data &amp; Analytics programs.</p><p><b>Key Responsibilities</b></p><p>1. <b>Architecture &amp; Solution Design</b></p><ul><li>Define end-to-end data architecture for Data Lake, DWH, ELT/ETL pipelines, and analytics workloads</li><li>Extensive experience in integration with 3rd-party platforms through APIs</li><li>Design scalable, secure, and cost-optimized solutions using GCP services:</li></ul><p><b>BigQuery, Cloud Storage, Pub/Sub, Dataflow, Dataproc, Cloud Composer, Cloud SQL</b></p><ul><li>Represent architecture discussions with business &amp; technical stakeholders</li><li>Create POCs / MVPs as required before delivering a full-fledged solution</li><li>Build high-level &amp; low-level design documentation</li></ul><p>2. <b>Data Engineering Leadership</b></p><ul><li>Guide development teams on implementing data models, ingestion pipelines, and transformation layers (Bronze/Silver/Gold)</li><li>Drive best practices for BigQuery optimization, partitioning, clustering &amp; performance tuning</li><li>Oversee code reviews, standards, and quality of deliverables</li><li>Experience in cloud modernization &amp; migration projects</li><li>Partner with business teams to define KPIs, DWH models and analytics requirements</li><li>Support production pipelines, cost optimization and performance enhancements</li><li>Ensure design alignment with long-term D&amp;A roadmap</li></ul><p>3. <b>Data Governance, Security &amp; Compliance</b></p><ul><li>Implement data governance frameworks, lineage, metadata management, and access controls</li><li>Apply IAM best practices and security architecture guidelines</li></ul><p>4. <b>Collaboration &amp; Client Engagement</b></p><ul><li>Work closely with Data Engineers, PMs, Product Owners, Analysts &amp; Clients</li><li>Provide input for RFPs, proposals, and solution architecture decks</li></ul><p><b>Mandatory Skills / Experience</b></p><p><b>Technical Skills</b></p><ul><li>Strong expertise in BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud SQL, Cloud Storage, Composer</li><li>Proficiency in SQL, Python, data modeling, and distributed data processing</li><li>Hands-on experience designing data lakes, data warehouses, data marts</li><li>Understanding of real-time and batch data processing patterns</li></ul><p><b>Architectural Experience</b></p><ul><li>7&ndash;12+ years data engineering/architecture experience; at least 3 years on GCP</li><li>Experience with enterprise-scale cloud transformations &amp; D&amp;A platforms</li></ul><p><b>Soft Skills</b></p><ul><li>Strong analytical, problem-solving and communication skills</li><li>Ability to work with multi-functional teams and lead technical conversations</li></ul><p><b>Good-to-Have</b></p><ul><li>GCP Professional Cloud Architect / Data Engineer Certification</li><li>Experience with Terraform / IaC, CI/CD, and DevOps</li><li>Exposure to BI tools: Looker, Data Studio, Power BI</li></ul><p>Job Type: Full-time</p><p>Pay: From ₹1,500,000.00 per year</p><p>Application Question(s):</p><ul><li>How many years of total experience do you have?</li><li>How many years of experience so you have in BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud SQL, Cloud Storage, Composer?</li><li>Have many years of experience do you have in Data Architecture &amp; Solution Design?</li><li>Are you willing to work on a 6-month contract (extendable as per project needs)?</li><li>In the last 6 months, have you applied or attended the interview in Birlasoft?</li><li>What is your notice period/ LWD?</li><li>What is your current and preferred location?</li><li>What is your current CTC?</li><li>What is your expected CTC?</li></ul><p>Work Location: In person</p>

GCP Data Architect

ImagineArt

<div><h3 class="jobSectionHeader"><b>Who We Are</b></h3><p>
Vyro is redefining the future of digital creativity. We build cutting-edge content creation tools powered by Artificial Intelligence and Machine Learning, helping millions of creators, designers, and storytellers bring their imagination to life &mdash; effortlessly.</p><p>
With a global user base of over 5 million active creators every month, Vyro&rsquo;s 20+ AI-powered apps are transforming how people design, edit, and express themselves across images, videos, and beyond.</p><p>
From intuitive AI photo editors to next-gen video creation platforms, our products are designed to make creativity accessible, fast, and limitless.</p><p>
At Vyro, we&rsquo;re a team of innovators, builders, and dreamers &mdash; known as Vyronauts &mdash; driven by passion, purpose, and the belief that technology should inspire creativity, not complicate it.</p><p>
If you&rsquo;re excited about shaping the next wave of AI-powered creativity, Vyro is the place to be.<br>
<br>
<b>Overview</b></p><p>
We are seeking a highly experienced <b>Senior Big Data Developer</b> to design, build, and optimize large-scale data systems and backend infrastructure. The ideal candidate will have strong expertise in <b>BigQuery, distributed data processing, and cloud-based data platforms</b>, and will play a critical role in developing scalable data pipelines and backend services that support analytics, AI, and product systems.</p><p>
This role requires deep technical expertise in handling large datasets, optimizing data workflows, and building reliable, production-grade data infrastructure.</p><p></p><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul><li><p>
Design, build, and maintain scalable data pipelines and backend systems for processing large-scale datasets<br>
Develop, optimize, and manage complex queries, datasets, and workflows in BigQuery and data warehouse systems</p></li><li><p>
Build robust ETL/ELT pipelines to ingest, transform, and process data from multiple sources</p></li><li><p>
Develop backend services and data processing systems using languages such as Go, Python.</p></li><li><p>
Ensure high performance, scalability, reliability, and cost efficiency of data systems</p></li><li><p>
Integrate data systems with cloud services, APIs, and distributed systems</p></li><li><p>
Monitor, troubleshoot, and optimize data pipelines and backend infrastructure</p></li><li><p>
Collaborate with data scientists, analysts, and engineering teams to support analytics and AI-driven features</p></li><li><p>
Design clean, efficient, and maintainable system architecture</p></li><li><p>
Mentor junior engineers and contribute to technical leadership and architectural decisions</p></li></ul><p><b>
Requirements</b></p><ul><li><p>
5+ years of experience in Big Data, backend engineering, or data infrastructure roles</p></li><li><p>
Strong hands-on experience with BigQuery or similar data warehouse technologies (Snowflake, Redshift, Databricks, etc.)</p></li><li><p>
Strong proficiency in at least one programming language such as Go, Python, Node.js, or Java</p></li><li><p>
Strong expertise in SQL and query performance optimization</p></li><li><p>
Experience building and maintaining ETL/ELT pipelines</p></li><li><p>
Experience working with large-scale datasets and distributed systems</p></li><li><p>
Experience with cloud platforms such as Google Cloud Platform (preferred), AWS, or Azure</p></li><li><p>
Strong understanding of data architecture, scalability, and performance optimization</p></li><li><p>
Excellent problem-solving and debugging skills</p></li></ul><p><b>
Preferred Qualifications</b></p><ul><li><p>
Experience with GCP services such as BigQuery, Cloud Storage, Pub/Sub, and Cloud Run</p></li><li><p>
Experience with Apache Spark, Kafka, or Airflow</p></li><li><p>
Experience supporting analytics, AI, or machine learning systems</p></li><li><p>
Experience with real-time and batch data processing systems</p></li><li><p>
Experience with microservices architecture</p></li></ul></div><p></p>

Senior Big Data Developer

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