Lead | Senior Site Reliability Engineer

Job Title: Graphic Designer Intern (AI-Assisted Design)

Location: Dehradun

Type: Internship

Position Overview:

We are looking for a creative and motivated Graphic Designer Intern who is passionate about visual storytelling and eager to leverage AI-powered design tools. This internship is ideal for someone who wants to gain hands-on experience in creating social media content, marketing materials, presentations, and digital assets while working with modern AI design workflows.

Key Responsibilities:

• Create engaging graphics for social media, websites, presentations, and marketing campaigns
• Use AI design tools such as ChatGPT, Midjourney, Adobe Firefly, Canva AI, or similar platforms to generate and enhance creative concepts
• Design carousel posts, infographics, banners, advertisements, and other digital content
• Assist in creating simple animations, motion graphics, and animated social media content
• Develop visual concepts that align with brand guidelines and project objectives
• Edit and optimize images, illustrations, and layouts for various platforms
• Collaborate with marketing and content teams to produce high-quality creative assets
• Stay updated with emerging AI design trends and creative technologies

Required Skills:

• Basic knowledge of Canva, Adobe Photoshop, Illustrator, or Figma
• Familiarity with AI tools for design and content creation
• Basic knowledge of animation and motion design using Adobe After Effects, Canva Animation, or similar tools
• Strong understanding of typography, color theory, and layout principles
• Creative thinking and attention to detail
• Ability to manage multiple tasks and meet deadlines
• Good communication and teamwork skills

Preferred Qualifications:

• Pursuing or recently completed a degree/diploma in Graphic Design, Visual Communication, Multimedia, Fine Arts, or a related field
• Portfolio showcasing design projects, academic work, freelance work, or personal creative projects
• Interest in AI-driven creative workflows and emerging design technologies.

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:

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

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.

Preferred:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) and data catalogs (Collibra, Alation, Purview).
• Exposure to Snowflake, Databricks, or BigQuery environments.
• Experience in high-tech, manufacturing, or enterprise data modernization programs.

Candidate must be from a product-based company with experience handling large-scale production traffic.

2. Minimum 6 yrs of experience working as a DevOps/Infrastructure Consultant

3. Candidate must have 2 years of experience as an lead (handling team of 3 to 4 members atleast)

4. Own end-to-end infrastructure right from non-prod to prod environment including self-managed

5. Candidate must have Self experience in database migration from scratch

6. Must have a firm hold on the container orchestration tool Kubernetes

7. Should have expertise in configuration management tools like Ansible, Terraform, Chef / Puppet

8. Understanding programming languages like GO/Python, and Java

9. Working on databases like Mongo/Redis/Cassandra/Elasticsearch/Kafka.

10. Working experience on Cloud platform -AWS

11. Candidate should have Minimum 1.5 years stability per organization, and a clear reason for relocation

About Buildesk

Buildesk is transforming real estate with cutting-edge Sales & Payment Management solutions.

Our integrated ERP and CRM platform empowers developers and brokers to boost efficiency and results. We're an innovative, collaborative team, rapidly growing with a global presence, offering significant growth opportunities.

Responsibilities:

• Handle inbound/outbound calls to assist customers.
• Provide information and resolve queries effectively.
• Maintain accurate customer records.

Requirements:

• Minimum 1 year of tele calling experience.
• Strong English communication skills.
• Confident, proactive, and a team player.

We are seeking a dynamic and detail-oriented HR Recruiter to manage our end-to-end recruitment process. The ideal candidate will have a strong understanding of talent acquisition strategies, excellent interpersonal skills, and the ability to build relationships with both candidates and hiring managers.

Key Responsibilities

• Manage the full recruitment life cycle, from job posting to onboarding.
• Partner with hiring managers to identify staffing needs and develop job descriptions.
• Source potential candidates through online channels (e.g., LinkedIn, job boards, social media).
• Screen resumes, conduct interviews, and assess candidates’ qualifications.
• Coordinate and schedule interviews between candidates and hiring teams.
• Maintain candidate databases and recruitment reports.
• Build a talent pipeline for current and future hiring needs.
• Ensure a positive candidate experience throughout the hiring process.
• Stay updated on industry trends and best recruitment practices.
• Ensure compliance with labor laws and internal policies during recruitment.

The role will be part of our customer success team. You will work extensively on large datasets to identify and help remediate data risks for customers from diverse domains, and support them as a trusted security advisor. 

Responsibility 

• Analyse customer data on Concentric Platform, extract relevant insights to identify data risks, develop risk remediation strategies 
• Prepare and present data risk reports to customers. Handhold them for implementation of the risk remediation strategies 
• Develop, curate and maintain training datasets for AI models 
• Label large datasets for supervised learning of AI models 
• Serve as customer’s trusted data security advisor, providing subject matter expertise, strategic guidance to drive adoption of concentric platform aligned with customer objectives

• Strong experience on with data analytics. Proven ability to extract relevant insights from big volumes of data to solve specific problems. Eye for detecting trends, anomalies in data. 
• Experience in developing training datasets for AI models and data labelling for supervised learning of AI models. 
• Excellent attention to detail 
• Customer advisory experience preferably in data security domain 
• Experience on with Excel as data analysis and reporting tool is required. Knowledge of other tools like Python, Kibana, Jira, ppt will be a plus. 
• Broad knowledge of operationalizing data security, regulations and standards will be an advantage 
• Excellent communication skills across various formats and mediums. Strong presentation and facilitation skills
• Use creative problem-solving skills to help customers reach their business goals and maximize the value they are getting from Concentric platform
• Graduate/Post Graduate in Engineering discipline from premium institute