Customer support executive

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.

Proposal Engineer: 

Number of Positions: 01                   

 Education Required:  BE/Mtech -Mechanical/Chemical

Experience: 4-5 Years                        

 Salary: negotiate at the time of the interview

Notice Period: Immediate joiner can be preferred

Background required for Manufacturing of Head Exchangers, pressure vessels & Heavy fabrication Industries.

Job Details

1.       Handling Enquiries 

a)     Review enquiry with respect to design and executions capability 

b)     Communicate with the customer for resolving incomplete, ambiguous and conflicting requirements.

2.       Thermal design (Aspen & HTRI software)

a)     Understand the customer requirement and carry out the thermal design in Aspen/HTRI

b) Selection of best design for the given parameters.

b)     Carry out the preliminary mechanical design

3.       Costing of equipment and calculate final price

a)     Carry out the costing based on mechanical design, and customer drawing in Excel format

b)     Send raw material inquiries to our supplier and get a quotation for major raw materials

4.       Preparation of GA drawing in Auto cad software if required by Customer.

5.       Prepare technical offer

a)  Review of Customer specifications and prepare Deviation list.

b)  Preparation of technical offer

c)  Discuss with the customer after submitting technical offer and sort-out there queries.

6.  Visit at customer office for technical discussion.

• 8 - 12 years of professional experience in .Net Framework 2.0/3.5/4.0/4.5 (C#, ASP.Net) and ADO.Net. Strong knowledge of software development, debugging and deployment tools Knowledge and experience of SQL Server (Any version). 
• Knowledge of Versioning tools. Strong experience working with HTML, CSS, JavaScript, and jQuery. 
• Should have Good Problem Solving and Analytical Skills Ability to work independently and as part of a team Ability to handle individual projects as well as team. 
• Understanding of MVC, WCF, WPF and any mobile technology – beneficial Ability to learn new technology in a short period.

JOB SKILLS & QUALIFICATIONS

WHAT YOU'LL DO

• Design model serving solutions and develop machine learning-based applications. services, and APIs so as to productionise machine learning models.
• Set and maintain engineering standards while to grow and go far.
• Partner with the Data Scientists (those who actually build, train and evaluate ML models) to provide an end-to-end solution for machine learning-based projects.
• Foster the technological evolution of services and improve their end-to-end quality attributes.
• Be committed to Continuous Integration and Continuous Deployment.

 Preferred Skills

• Familiarity with the engineering aspects of some of popular machine learning practices, libraries, and platforms (e.g. MLflow, Kubeflow, Mleap, Michelangelo, Feast, HopsWorks, MetaFlow, Zipline, Databricks, Spark, MLlib, PyTorch, TensorFlow, and Scikit-learn among others).
• Comfortable dealing with trade-offs project delivery and quality, especially those involving latency, throughput, and http://transactions.proven/">transactions.
• Experience Continuous Integration & Continuous Deployment processes and platforms, software design patterns and APIs.
• A person that enjoys staying on top of all the best practices and tools of modern software engineering, while being a advocate of code quality and continuous improvement.
• Someone interested in large-scale systems and passionate about solving complex problems while being open and comfortable with changes in the tech stack the teams use.

College: IIT, NIT, BITs other Tier 1 colleges  

   Priority skills:  Kotlin, MVP, MVVM, especially Viper, Unit & UI Test, Firebase, Google maps, design patterns, GIT

Responsibilities ( Experience 8-10 years)

    Design and development of apps for Android in Kotlin and JAVA
    Follow Google user interface guidelines and principles of material design
    Ensure performance and maintainability of the apps
    Code review and guidance to other team members to make sure code quality is as desired.
    Researching new frameworks and adapting the best of them in app development.

Skills Required

    Expert knowledge of Kotlin and JAVA
    Expert knowledge of Architectural patterns like MVC, MVVM and Clean Architecture.
    Expert understanding of Android run time model
    Experience with offline caching, threading and task management.
    Experience with object oriented design patterns.
    Experience with push notifications and Firebase or other similar PaaS systems.
    An Eye for design details, following pixel perfect designs.
    Experience with 3rd party libraries like okhttp, volley , Soket.io, Realm, Firebase, Facebook, Twitter, Instagram, RX Kotlin/JAVA.
    Team management skills.

We are looking for skilled iOS developers who are passionate about solving digital payment problems for over a billion Indians.

Requirements:

• At least 4 years of experience in developing, releasing, and maintaining iOS mobile applications.
• Ability to write efficient, reusable, and maintainable code in Swift.
• Excellent expertise in iOS SDK frameworks and fundamentals.
• Amazing debugging skills with the ability to write unit test cases Strong computer science fundamentals.
• Startup friendly i.e self-starter, quick learner, hard-working, and passionate.

Job Summary

• Lead technology developer responsible for managing self and a team of 1-2 developers
• Typical experience of 2-4 years
• Handing internal business users and external vendors
• Reporting directly to C level

Responsibilities and Duties

• Development of in house product platform
• Documenting platform roadmap
• Implementing and managing the product rollout as per roadmap
• Triaging issues and troubleshooting
• Managing different environments - development, test, production

Key Skills
MongoDB, Node.js, AngularJS, Angular, Amazon Web Services, JavaScript, REST, JSON, S3
Required Experience and Qualifications

• 2-4 years of experience
• Education qualification - BE
• Product development background
• Strong communication skills with confidence in managing cross-geographical stakeholders

Benefits

• Access to the C suite with first hand contribution to strategy development
• Flexible working hours and remote working when required
• Operations based in Koramangala
• Trainings and certifications can be reimbursed