Graphic Designer

Role & Responsibilities

• Lead enterprise-scale implementation of data warehouse data platforms on Databricks and Snowflake environments.
• Design and implement Medallion (Bronze/Silver/Gold) architecture and scalable enterprise data models.
• Establish data modeling standards (dimensional, data vault, lakehouse patterns) and ensure best practices across projects
• Establish enterprise data governance frameworks including cataloging, lineage, stewardship, and compliance using Atlan.
• Define and implement CI/CD pipelines for infrastructure and data platform deployments
• Design data architectures that support AI/ML and Generative AI workloads including vector storage, feature layers, and secure access patterns.
• Build scalable ingestion frameworks supporting batch, streaming, and CDC pipelines.
• Architect secure, high-performance data integration layers for analytics, BI, and AI consumption.
• Develop target-state architecture blueprints and enforce data standards, governance, and best practices across teams.
• Collaborate with engineering, analytics, and data science teams to ensure platform alignment and scalability.
• Engage with clients as a trusted advisor, driving data strategy, roadmap definition, and identifying opportunities for expansion.

Ideal Candidate

• Strong Databricks / AWS Data Architect profile
• Mandatory (Experience 1) – Must have minimum 8+ years of experience in Data Architecture / Data Engineering, with exposure in enterprise-scale data platform modernization initiatives
• Mandatory (Experience 2) – Must have minimum 3+ years of deep hands-on experience in Databricks-based lakehouse architecture on AWS, including large-scale data platform implementations
• Mandatory (Experience 3) – Strong expertise in Databricks ecosystem including Delta Lake, Databricks SQL, Unity Catalog, Delta Live Tables, and MLflow with focus on performance optimization and security
• Mandatory (Experience 4) – Strong experience with AWS data services including S3, Glue, EMR, Lambda, Redshift, Athena, Lake Formation, and DMS, with strong understanding of cloud-native architecture patterns
• Mandatory (Experience 5) – Proven experience designing and implementing Medallion (Bronze/Silver/Gold) architecture, scalable data models (Dimensional/Data Vault), and enterprise lakehouse platforms supporting batch and real-time processing
• Mandatory (Experience 6) – Must have hands-on experience building scalable ingestion frameworks including batch, streaming, and CDC pipelines using tools like Kafka, Kinesis, Spark, or similar technologies
• Mandatory (Skill 1) – Proven experience implementing CI/CD pipelines for data platforms, including infrastructure as code, automated deployments, and environment management
• Mandatory (Skill 2) – Hands-on experience enabling data platforms for AI/ML and Generative AI use cases, including feature stores, vector storage, and secure data access patterns
• Mandatory (Skill 3) – Experience with orchestration tools such as Apache Airflow or MWAA and designing integration layers for analytics, BI, and AI consumption
• Preferred (Company) – Product Companies.
• Preferred (Certification) – AWS / Databricks / Snowflake certifications; experience with Snowflake alongside Databricks; exposure to MDM, data quality frameworks, and enterprise metadata tools

Key Responsibilities

• Design, develop, test, and maintain Android applications using Kotlin and Jetpack Compose.
• Build responsive, reusable, and high-quality UI components using Compose.
• Implement clean architecture principles (MVVM/MVI) and Android best practices.
• Integrate RESTful APIs and third-party services.
• Collaborate with Product Managers, UX/UI Designers, QA Engineers, and Backend Developers.
• Optimize application performance, reliability, and scalability.
• Write clean, maintainable, and well-documented code.
• Conduct code reviews and mentor junior developers when required.
• Troubleshoot, debug, and resolve application issues.
• Stay updated with the latest Android development trends and technologies.

Required Skills & Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• 1+ years of Android application development experience.
• Strong proficiency in Kotlin.
• Hands-on experience with Jetpack Compose.
• Strong understanding of Android SDK, Android Architecture Components, and Material Design.
• Experience with MVVM architecture and Clean Architecture principles.
• Knowledge of Coroutines, Flow, and asynchronous programming.
• Experience with Dependency Injection frameworks such as Hilt or Dagger.
• Familiarity with REST APIs, JSON parsing, and networking libraries such as Retrofit and OkHttp.
• Experience with local databases such as Room.
• Proficiency in Git and version control practices.
• Understanding of unit testing and UI testing frameworks.

Preferred Skills

• Experience with CI/CD pipelines.
• Knowledge of Firebase services (Analytics, Crashlytics, Push Notifications).
• Familiarity with modularization and multi-module Android projects.
• Experience publishing applications to Google Play Store.
• Exposure to Agile/Scrum methodologies.
• Understanding of Android performance optimization and security best practices.

Technical Stack

• Kotlin
• Jetpack Compose
• Android SDK

Construction Project Engineer

Job Description

Company: Lyncotek Venture Pvt Ltd

Location: Peenya 2nd Stage, Bangalore

Experience: 0–2 Years

Job Type: Full-Time

Job Summary

We are looking for a Construction Project Engineer to supervise site work and support project execution.

Responsibilities

• Monitor site activities and progress
• Ensure quality and safety compliance
• Coordinate with contractors and vendors
• Prepare site reports and updates
• Assist in project execution

Requirements

• Diploma/BE in Civil Engineering
• 0–2 years of experience preferred
• Technical and communication skills
• Freshers can also apply

At Fieldproxy, we’re building the next generation of AI-powered field service management solutions - software built with AI, assisted by humans with deep domain expertise. Our platform helps companies streamline operations, from scheduling and routing to customer engagement, by combining customizable templates with AI-driven automation.

We’re looking for an AI Product Specialist who can bridge the gap between our customers’ unique business needs and our AI-first platform capabilities.

Role Overview

As an AI Product Specialist, you will work closely with clients to understand their workflows, identify their requirements, and configure our platform to deliver tailored solutions. You’ll leverage existing LLM models, fine-tune them where needed, and ensure successful deployment of AI-powered features across client applications.

This is a highly cross-functional role, requiring strong communication skills, technical knowledge of AI/LLMs, and a customer-first mindset.

Key Responsibilities:

• Collaborate with clients to gather and analyze requirements for AI-driven field service solutions.
• Configure and customize the Fieldproxy platform using AI templates and builder tools.
• Work with large language models (LLMs) to fine-tune outputs and align them with client-specific needs.
• Partner with engineering and product teams to scope technical feasibility and drive implementation.
• Serve as a trusted advisor to clients, explaining AI capabilities in simple, actionable terms.
• Continuously test, validate, and improve AI workflows to ensure high-quality performance.
• Document configurations, best practices, and client solutions for scalability.

Requirements

• Hands-on experience with large language models (OpenAI, Anthropic, etc.) and fine-tuning approaches.
• Familiarity with prompt engineering, embeddings, and APIs.
• Strong problem-solving skills with the ability to translate customer requirements into technical solutions.
• Excellent communication and presentation abilities to engage both technical and non-technical stakeholders.
• Comfort working in fast-paced, startup-like environments.

Nice-to-Have

• Exposure to workflow automation platforms (Zapier, n8n, Make, etc.).
• Knowledge of databases (PostgreSQL preferred).
• Basic programming/scripting skills (Python, JavaScript)

What We Offer

• Opportunity to shape the future of AI in field service management.
• Work directly with cutting-edge LLM technologies and real-world enterprise use cases.
• A collaborative team of builders passionate about AI and customer success.
• Competitive compensation and growth opportunities in a rapidly scaling company

Position Overview

We're seeking a skilled Full Stack Developer to build and maintain scalable web applications using modern technologies. You'll work across the entire development stack, from database design to user interface implementation.

Key Responsibilities

• Develop and maintain full-stack web applications using Node.js and TypeScript
• Design and implement RESTful APIs and microservices
• Build responsive, user-friendly front-end interfaces
• Design and optimize SQL databases and write efficient queries
• Collaborate with cross-functional teams on feature development
• Participate in code reviews and maintain high code quality standards
• Debug and troubleshoot application issues across the stack

Required Skills

• Backend: 3+ years experience with Node.js and TypeScript
• Database: Proficient in SQL (PostgreSQL, MySQL, or similar)
• Frontend: Experience with modern JavaScript frameworks (React, Vue, or Angular)
• Version Control: Git and collaborative development workflows
• API Development: RESTful services and API design principles

Preferred Qualifications

• Experience with cloud platforms (AWS, Azure, or GCP)
• Knowledge of containerization (Docker)
• Familiarity with testing frameworks (Jest, Mocha, or similar)
• Understanding of CI/CD pipelines

What We Offer

• Competitive salary and benefits
• Flexible work arrangements
• Professional development opportunities
• Collaborative team environment

Hi Kirti,

Job Title: Data Analytics Engineer

Experience: 3 to 6 years

 Location: Gurgaon (Hybrid)

Employment Type: Full-time

Job Description: 

We are seeking a highly skilled Data Analytics Engineer with expertise in Qlik Replicate, Qlik Compose, and Data Warehousing to build and maintain robust data pipelines. The ideal candidate will have hands-on experience with Change Data Capture (CDC) pipelines from various sources, an understanding of Bronze, Silver, and Gold data layers, SQL querying for data warehouses like Amazon Redshift, and experience with Data Lakes using S3. A foundational understanding of Apache Parquet and Python is also desirable. 

Key Responsibilities: 

1. Data Pipeline Development & Maintenance 

• Design, develop, and maintain ETL/ELT pipelines using Qlik Replicate and Qlik Compose. 
• Ensure seamless data replication and transformation across multiple systems. 
• Implement and optimize CDC-based data pipelines from various source systems. 

2. Data Layering & Warehouse Management 

• Implement Bronze, Silver, and Gold layer architectures to optimize data workflows. 
• Design and manage data pipelines for structured and unstructured data. 
• Ensure data integrity and quality within Redshift and other analytical data stores. 

3. Database Management & SQL Development 

• Write, optimize, and troubleshoot complex SQL queries for data warehouses like Redshift. 
• Design and implement data models that support business intelligence and analytics use cases. 

4. Data Lakes & Storage Optimization 

• Work with AWS S3-based Data Lakes to store and manage large-scale datasets. 
• Optimize data ingestion and retrieval using Apache Parquet. 

5. Data Integration & Automation 

• Integrate diverse data sources into a centralized analytics platform. 
• Automate workflows to improve efficiency and reduce manual effort. 
• Leverage Python for scripting, automation, and data manipulation where necessary. 

6. Performance Optimization & Monitoring 

• Monitor data pipelines for failures and implement recovery strategies. 
• Optimize data flows for better performance, scalability, and cost-effectiveness. 
• Troubleshoot and resolve ETL and data replication issues proactively. 

Technical Expertise Required: 

• 3 to 6 years of experience in Data Engineering, ETL Development, or related roles. 
• Hands-on experience with Qlik Replicate & Qlik Compose for data integration. 
• Strong SQL expertise, with experience in writing and optimizing queries for Redshift. 
• Experience working with Bronze, Silver, and Gold layer architectures. 
• Knowledge of Change Data Capture (CDC) pipelines from multiple sources. 
• Experience working with AWS S3 Data Lakes. 
• Experience working with Apache Parquet for data storage optimization. 
• Basic understanding of Python for automation and data processing. 
• Experience in cloud-based data architectures (AWS, Azure, GCP) is a plus. 
• Strong analytical and problem-solving skills. 
• Ability to work in a fast-paced, agile environment. 

Preferred Qualifications: 

• Experience in performance tuning and cost optimization in Redshift. 
• Familiarity with big data technologies such as Spark or Hadoop. 
• Understanding of data governance and security best practices. 
• Exposure to data visualization tools such as Qlik Sense, Tableau, or Power BI. 

Position - Assistant Marketing Manager

Qualifications - MBA - Marketing from a reputed institute

Experience - 5 to 8 years

Skills -

• Strong written and verbal communication skills
• Understanding essential business and marketing concepts
• Should possess good interpersonal skills to work effectively in a team.
• Comfort with multi-tasking in a deadline-driven environment
• Proficiency with Microsoft Office (Microsoft Excel, Microsoft Word)
• Demonstrated experience with social media platforms (Facebook, Twitter, LinkedIn, Pinterest)

Job Responsibilities -

• Acting as marketing support to all the SBUs
• Perform necessary market research for the business units
• Prepare Marketing Plan and Budgets
• Organize and manage marketing collateral.
• Prepare and deliver promotional presentations  
• Develop and execute marketing campaigns.
• Compose and post online content on the company’s website and social media accounts 
• Lead Generation
• Maintaining and updating Key Account Databases
• Manage brand and marketing initiatives.
• Create reports on marketing performance.

Budget - 50,000/- to 60,000/- per month