Quulo Tech

Job Description:

Part-Time Web/App Developer – FlutterFlow plus Firebase (Chennai, India – Remote/Flexible)

Based in the UK and currently working on an early-stage side project in the eSIM and travel tech space. Looking for a part-time web/app developer to collaborate on building the MVP.

This is a paid opportunity, ideal for someone looking to gain real-world experience while working on a modern, mobile-first product.

What You’ll Be Working On:

• Building the app using FlutterFlow
• Integrating with Firebase (Firestore, Auth, Functions)
• Connecting to third-party APIs (e.g., eSIM platforms, ad networks)
• Helping shape both the user experience and visual design

You’ll stand out if you:

• Have an eye for clean, modern UI/UX design
• Can build intuitive and attractive interfaces

Ideal Candidate:

• Final year student, fresher, or early-career developer
• Comfortable with:

• Flutter Flow
• Firebase
• API integration

Time & Pay:

• ~10–12 hours/week (flexible, no fixed time.)
• Fair monthly allowance, depending on experience

Turner & Townsend 

The right candidate will have the opportunity to progress within our business and receive a competitive salary. There will also be the opportunity to support internal business initiatives and development, in order to offer our people an all-round exposure to the business. The successful candidate must be able to demonstrate consultancy experience.

Role within the project:

• The Project Manager is expected to be able to support the project lead in all aspects of project management delivery for MEP throughout the stages of set up and brief, design, tendering & procurement, construction, handover and closeout.
• Should be able to handle all project-related reporting & documentation.

 Responsibilities:

• Participate in project meetings, prepare minutes
• Monitor day to day execution and site, handle all documentation and reporting
• Prepare daily/ weekly/ monthly reports for client review
• Review the deliverables from the design consultants/ vendors/ contractors/ and provide feedback

Reporting

• Depending upon context, Assistant Project Manager is likely to report to a Project Manager/Senior Project Manager

Sandisk

Job Overview

We are seeking a passionate candidate dedicated to building robust data pipelines and handling large-scale data processing. The ideal candidate will thrive in a dynamic environment and demonstrate a commitment to optimizing and maintaining efficient data workflows. The ideal candidate will have hands-on experience with Python, MariaDB, SQL, Linux, Docker, Airflow administration, and CI/CD pipeline creation and maintenance. The application is built using Python Dash, and the role will involve application deployment, server administration, and ensuring the smooth operation and upgrading of the application.

Key Responsibilities:

• Minimum of 9+ years of experience in developing data pipelines using Spark.
• Ability to design, develop, and optimize Apache Spark applications for large-scale data processing.
• Ability to implement efficient data transformation and manipulation logic using Spark RDDs and Data Frames.
• Manage server administration tasks, including monitoring, troubleshooting, and optimizing performance. Administer and manage databases (MariaDB) to ensure data integrity and availability.
• Ability to design, implement, and maintain Apache Kafka pipelines for real-time data streaming and event-driven architectures.
• Development and deep technical skill in Python, PySpark, Scala and SQL/Procedure.
• Working knowledge and understanding on Unix/Linux operating system like awk, ssh, crontab, etc.,
• Ability to write transact SQL, develop and debug stored procedures and user defined functions in python.
• Working experience on Postgres and/or Redshift/Snowflake database is required.
• Exposure to CI/CD tools like bit bucket, Jenkins, ansible, docker, Kubernetes etc. is preferred.
• Ability to understand relational database systems and its concepts.
• Ability to handle large table/dataset of 2+TB in a columnar database environment.
• Ability to integrate data pipelines with Splunk/Grafana for real-time monitoring, analysis, and Power BI visualization.
• Ability to create and schedule the Airflow Jobs.