Fashion Assistant

Review Criteria

• Strong Dremio / Lakehouse Data Architect profile
• 5+ years of experience in Data Architecture / Data Engineering, with minimum 3+ years hands-on in Dremio
• Strong expertise in SQL optimization, data modeling, query performance tuning, and designing analytical schemas for large-scale systems
• Deep experience with cloud object storage (S3 / ADLS / GCS) and file formats such as Parquet, Delta, Iceberg along with distributed query planning concepts
• Hands-on experience integrating data via APIs, JDBC, Delta/Parquet, object storage, and coordinating with data engineering pipelines (Airflow, DBT, Kafka, Spark, etc.)
• Proven experience designing and implementing lakehouse architecture including ingestion, curation, semantic modeling, reflections/caching optimization, and enabling governed analytics
• Strong understanding of data governance, lineage, RBAC-based access control, and enterprise security best practices
• Excellent communication skills with ability to work closely with BI, data science, and engineering teams; strong documentation discipline
• Candidates must come from enterprise data modernization, cloud-native, or analytics-driven companies

Preferred

• Preferred (Nice-to-have) – Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) or data catalogs (Collibra, Alation, Purview); familiarity with Snowflake, Databricks, or BigQuery environments

Job Specific Criteria

• CV Attachment is mandatory
• How many years of experience you have with Dremio?
• Which is your preferred job location (Mumbai / Bengaluru / Hyderabad / Gurgaon)?
• Are you okay with 3 Days WFO?
• Virtual Interview requires video to be on, are you okay with it?

Role & Responsibilities

You will be responsible for architecting, implementing, and optimizing Dremio-based data lakehouse environments integrated with cloud storage, BI, and data engineering ecosystems. The role requires a strong balance of architecture design, data modeling, query optimization, and governance enablement in large-scale analytical environments.

• Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).
• Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads.
• Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns.
• Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
• Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
• Support self-service analytics by enabling governed data products and semantic layers.
• Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling.
• Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data.

Ideal Candidate

• Bachelor’s or master’s in computer science, Information Systems, or related field.
• 5+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.
• Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena).
• Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning.
• Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).
• Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC).
• Excellent problem-solving, documentation, and stakeholder communication skills.

Total Experience:6months to 1 Year

Notice: Immediate Joiners

• Good experience of 1-2 years in sourcing from different channels
• Solid knowledge of sourcing techniques (e.g. social media recruiting and LinkedIn) 
• Should have basic technical knowledge of technologies used in IT & eCommerce (Java, SAP, Springboot, Scrum, product management, Digital marketing etc) 
• Strong communication and influencing skills  
• Source, screen, and conduct initial technical interviews with qualified candidates for all the positions along with the business leaders, and schedule follow-up interviews.
• Interaction with the relevant candidates, briefing them about the requirement
• Evaluate the technical skills of candidates and organize next interview rounds with leaders. 
• Initiate search for lateral recruitment by executing a complete search of the database as per the requirements to find relevant candidates
• Build talent pipeline for today and tomorrow with passive sourcing ability 
• Execute a complete search of the database as per the requirements to find relevant candidates
• Maintaining and updating the database of the candidates
• Understanding of business teams & their requirements
• Strong data analysis skills, ability to perform data analysis and make data-driven decisions 
• You are a technology enthusiast, you care about how things work and you can successfully collaborate with technical experts & leaders
• Ability to understand the organizational fit for the needs of the company 
• Experience recruiting for IT, eCommerce, Data Engineering talent
• Experience working with recruiting tools and systems, including resume databases, internet sourcing tools, and spreadsheets 
• Familiarity with Applicant Tracking Systems and resume databases 

Role & Responsibilities

4-7 years of Strong proficiency in Full stack Development of Web Applications and experience in shipping production applications.

Experience of using Typescript for development would be a mandate.

Frontend- next.js, react.js, vue.js and bit for svelte kit are highly preferred Backend- node.js, react.js, express.js

B.Tech in Computer Science Engineering from Tier 1 Colleges preferred

Experienced with Tailwind CSS

Experienced with TDD for component and end-to-end testing

Ableto set up CI/CD pipelines for testing and deployment (canary, staging) using Github actions according to project

Entrepreneurial mindset with strong decision-making skills

Ability to move quickly without breaking things too much (we are dreamers)

Ability to work under immense pressure which is balanced by a sense of responsibility and ownership

Comfortable working with a Git style workflow where every commit deploys to a staging environment and merged pull requests deploy to production

Mandatory (Experience 1) – Must have 5+ years of hands-on experience in Information Security, with a primary focus on cloud security across AWS, Azure, and GCP environments.

Mandatory (Experience 2) – Must have strong practical experience working with Cloud Security Posture Management (CSPM) tools such as Prisma Cloud, Wiz, or Orca along with SIEM / IDS / IPS platforms

Mandatory (Experience 3) – Must have proven experience in securing Kubernetes and containerized environments including image security,runtime protection, RBAC, and network policies.

Mandatory (Experience 4) – Must have hands-on experience integrating security within CI/CD pipelines using tools such as Snyk, GitHub Advanced Security,or equivalent security scanning solutions.

Mandatory (Experience 5) – Must have solid understanding of core security domains including network security, encryption, identity and access management key management, and security governance including cloud-native security services like GuardDuty, Azure Security Center etc

Mandatory (Experience 6) – Must have practical experience with Application Security Testing tools including SAST, DAST, and SCA in real production environments

Mandatory (Experience 7) – Must have hands-on experience with security monitoring, incident response, alert investigation, root-cause analysis (RCA), and managing VAPT / penetration testing activities

Mandatory (Experience 8) – Must have experience securing infrastructure-as-code and cloud deployments using Terraform, CloudFormation, ARM, Docker, and Kubernetes

Mandatory (Core Skill) – Must have working knowledge of globally recognized security frameworks and standards such as ISO 27001, NIST, and CIS with exposure to SOC2, GDPR, or HIPAA compliance environments

Experience / Education

• 12–15 years in mainframe infrastructure/architecture roles, including decommissioning and dismantling projects.
• Proven record of leading IT service transitions across geographies.
• Bachelor’s/master’s in computer science, Engineering, or related field.
• Certifications: ITIL Expert, IBM z/OS, or cloud/hybrid architecture certifications highly desirable.

Key Responsibilities

1. Platform Ownership & Optimization

• Own the design, optimization, and lifecycle management of the mainframe infrastructure.
• Evaluate and optimize mainframe capacity (MSU) and LPAR workloads, ensuring balance between performance and cost.
• Oversee datacenter operations, monitoring strategies, middleware (MQ, File Transfer like CFT), firewall/security clearance, and release management.
• Ensure full documentation of designs, optimizations, and lifecycle activities for audit and compliance.

2. Cross-Stakeholder Collaboration

• Work closely with stakeholders across locations and India, aligning infrastructure with business and IT objectives.
• Collaborate with application owners, operations teams, and project leaders to provide ongoing technical support.
• Act as the primary liaison with Vendors, IBM and other solution providers, driving technical synergies.
• Lead joint technical discussions with Vendors, ensuring solution alignment with transformation and exit strategies.

3. Technical Transformation & Insourcing

• Lead the transition of mainframe responsibilities from other locations to India, ensuring smooth handover and knowledge transfer.
• Build and mentor an India-based managed services team, progressively taking over steady-state operations.
• Develop a structured roadmap for insourcing and governance alignment, balancing compliance, cost, and performance.
• Provide regular technical assistance to project teams, ensuring infrastructure readiness and support.

4. KPI Ownership & Reporting

• Define, monitor, and report technical KPIs (capacity, performance, availability, incident management, and cost optimization).
• Deliver regular KPI dashboards and reports to senior management.
• Enforce KPI adherence across both internal teams and external vendors, driving corrective actions where required.

5. Decommissioning & Dismantling

• Lead the end-to-end decommissioning of mainframe components across software, middleware, and hardware.
• Manage license offboarding and termination (e.g., IDMS, CA/Broadcom), ensuring no residual dependencies remain.
• Oversee datacenter hardware dismantling and disposal, ensuring compliance with security and regulatory requirements.
• Collaborate with security and governance teams to revoke access, certificates, and data securely.
• Create detailed decommissioning playbooks, closure documentation, and audit-ready reports.

6. Housekeeping & Lifecycle Management

• Own and manage all housekeeping activities end-to-end (storage cleanup, archival, job scheduling, patching, log retention, etc.).
• Standardize housekeeping routines into clear runbooks, automating where possible.
• Ensure lifecycle management of mainframe systems, from capacity planning to decommissioning.
• Report housekeeping outcomes and ensure alignment with compliance and audit needs.

7. Knowledge Continuity & Documentation

• Take full ownership of knowledge transfer from existing responsible teams, leaving no knowledge gaps.
• Establish a structured knowledge base capturing infrastructure, decommissioning, and housekeeping processes.
• Regularly update documentation to reflect system changes, exit milestones, and best practices.

Skills & Competencies

• Deep expertise in mainframe optimization (MSU, LPAR), datacenter operations, and middleware integration.
• Hands-on experience in mainframe decommissioning, dismantling, and license termination.
• Strong understanding of housekeeping routines and lifecycle management in mainframe environments.
• Proven ability to lead cross-country transitions (Other locations to India) and multi-vendor ecosystems.
• Strong vendor and partner collaboration skills.
• Strategic mindset to balance stability, compliance, cost optimization, and modernization.
• Excellent communication, documentation, and executive reporting capabilities.
• Leadership in building, mentoring, and scaling technical teams in a managed services model.

Store Manager wit suitable experience of at least 1 year

manage store

experience in small cities

Apply on this link : https://uniprep.ai/job/f2e0680c-5408-11f0-bafb-6045bddf2215

• Strong professional experience in programming primarily around C#, SQL Server. 
• Focus on MVC, Jquery. 
• Strong experience in Design Patterns, Multithreading, OOPS concept. 
• Strong debugging skills.  
• Strong database programming skills.  
• Experience with JavaScript, jQuery, and other related front-end web technologies.  
• Should have strong HTML, CSS & UI Development knowledge. 
• Passionate about building high-quality systems with software implementation best practices. 
• Candidates having experience with Angular 7/8 & Xamarin will be preferred (not mandatory). 
• Dot Net Full Stack Skills required: HTML; CSS; Bootstrap; JavaScript; jQuery/ Angular JS; AJAX; Web API; C#; SQL Server (database) ASP.NET( Ado.Net + Stack Management Techniques) MVC/ Asp.Net Core.