Human Resource - Intern

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.

What you'll do:

• Partner closely with Product Design, Engineering, and Product Management to understand requirements and deliver product features and roadmap as envisioned by stakeholders.
• Own end-to-end user journey and all aspects of design execution from ideation, to prototyping, to user acceptance testing of product design tasks assigned.
• Conduct user interviews, user testing sessions, card sorting, affinity mapping, conduct both qualitative and quantitative tests, and analyze the data.
• Design high-impact, functional responsive interfaces for web and mobile
• Collaborate with other designers and participate in our design critique process, to receive and provide feedback on design work
• Manage and contribute to Kaizen - Beaconstac's Design System

Skills you bring to the table:

• Experience in designing SaaS products with large customer bases
• Deep expertise using Figma/Xd/Sketch, and familiarity with design systems
• Knowledge of Carbon - IBM's Design system or experience building a design system from scratch is a plus.
• Fundamental understanding of the end-to-end iterative UX design process — research, ideation, information architecture, prototyping, validation, and refining solutions into pixel-perfect deliverables.
• Ability to articulate design decisions throughout the user-centered design process.
• Ability to update and engage with stakeholders like product managers and engineers.
• Relevant fundamental knowledge of front-end technologies to collaborate with UI engineering teams will be an advantage.

Data Engineer + Integration engineer + Support specialistExp – 5-8 years

Necessary Skills:· SQL & Python / PySpark

· AWS Services: Glue, Appflow, Redshift

· Data warehousing

· Data modelling

Job Description:· Experience of implementing and delivering data solutions and pipelines on AWS Cloud Platform. Design/ implement, and maintain the data architecture for all AWS data services

· A strong understanding of data modelling, data structures, databases (Redshift), and ETL processes

· Work with stakeholders to identify business needs and requirements for data-related projects

Strong SQL and/or Python or PySpark knowledge

· Creating data models that can be used to extract information from various sources & store it in a usable format

· Optimize data models for performance and efficiency

· Write SQL queries to support data analysis and reporting

· Monitor and troubleshoot data pipelines

· Collaborate with software engineers to design and implement data-driven features

· Perform root cause analysis on data issues

· Maintain documentation of the data architecture and ETL processes

· Identifying opportunities to improve performance by improving database structure or indexing methods

· Maintaining existing applications by updating existing code or adding new features to meet new requirements

· Designing and implementing security measures to protect data from unauthorized access or misuse

· Recommending infrastructure changes to improve capacity or performance

Experience in Process industry

Data Engineer + Integration engineer + Support specialistExp – 3-5 years

Necessary Skills:· SQL & Python / PySpark

· AWS Services: Glue, Appflow, Redshift

· Data warehousing basics

· Data modelling basics

Job Description:· Experience of implementing and delivering data solutions and pipelines on AWS Cloud Platform.

· A strong understanding of data modelling, data structures, databases (Redshift)

Strong SQL and/or Python or PySpark knowledge

· Design and implement ETL processes to load data into the data warehouse

· Creating data models that can be used to extract information from various sources & store it in a usable format

· Optimize data models for performance and efficiency

· Write SQL queries to support data analysis and reporting

· Collaborate with team to design and implement data-driven features

· Monitor and troubleshoot data pipelines

· Perform root cause analysis on data issues

· Maintain documentation of the data architecture and ETL processes

· Maintaining existing applications by updating existing code or adding new features to meet new requirements

· Designing and implementing security measures to protect data from unauthorized access or misuse

· Identifying opportunities to improve performance by improving database structure or indexing methods

· Designing and implementing security measures to protect data from unauthorized access or misuse

· Recommending infrastructure changes to improve capacity or performance

Job Summary

We are looking for a Dot Net developer with expertise on MVC, C# web API and angular

The ideal candidate will thrive in a work environment that requires strong problem-solving skills and independent self-direction, coupled with an aptitude for team collaboration and open communication.

Your primary responsibility will be to design and develop application functionality based on the requirements from the client.

Responsibilities and Duties

• Ensuring and implementing the best possible performance, quality, and responsiveness of applications
• Ability to Identify bottlenecks and bugs, and devise solutions to mitigate and address these issues
• Flexible and proactive working style with strong personal ownership of problem resolution.
• Ability to multi-task under pressure and work independently with minimal supervision.
• Commitment to optimization and accountability evident in creating technical documentation for reference and reporting

Qualifications and Skills

· More than 2-3 years’ experience in .NET development

· Experience with Angular *

· Strong knowledge of .NET framework 4.5, 4.6,

· Strong Knowledge of Asp.Net MVC 5

· Strong understanding of object-oriented programming

· Skill for writing reusable libraries

· Knowledge of Unit of Work, Generic Repository Pattern

· Familiarity with Microsoft SQL Server

· Experience with Entity Framework 6.0

Job Types: Full-time, Permanent

Salary: ₹1.50 - ₹3.60 per year

• Computer assembling and dis -assembling.
• Hardware troubleshooting of desktop, laptop, server machine.
• Microsoft Windows Servers (2008,2012, 2016 ) operating system installation and troubleshooting
• Microsoft Windows ( XP, 7, 8, 10) operating system installation and troubleshooting.
• Various email client installation and troubleshooting.
• Development software (.Net Framework, MS SQL server / client, Visual studio) installation and troubleshooting.
• Linux ( Ubuntu, CentOS ) installation and troubleshooting. ( Mandatory )
• Various software installations on linux platform.
• Network LAN and WAN troubleshooting.
• VPN management
• Knowledge of Virtualization