Senior Data Engineer at GLP Transit

, , India -

Full Time

Start Date

Immediate

Expiry Date

29 Mar, 26

Salary

0.0

Posted On

29 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AWS, Data Architecture, System Design, Data Pipelines, ETL Processes, Python, dbt, Redshift, Hevo, Dagster, Metabase, Data Quality, Analytics, Automation, Collaboration, Validation

Industry

Description

About VeVe VeVe is the largest mobile-first digital collectibles platform out there, with more than 108 million digital collectibles and comics sold to date. Founded in 2017, VeVe was created by collectors for collectors, to bring premium licensed digital collectibles to the mass market from leading brands including Disney, Marvel, Star Wars, Lamborghini & more. VeVe is where the world collects. It is the world’s home of premium digital collectibles, comics and art works - all available in limited edition releases. Collectors can buy, sell and play with VeVe digital collectibles on their smartphone, take their digital comic collection with them wherever they go and read comics online or offline on the VeVe Comics reader app. We are made up of a diverse range of global individuals who are all collectors at heart, dream big but stay grounded. About the Role We’re investing in building a more robust, scalable data platform as our business continues to evolve. As part of this investment, we’re looking for a Senior Data Engineer to play a critical role in stabilising and rebuilding VeVe’s data foundations. This is a hands-on, high-impact role for someone who enjoys untangling complexity, and designing reliable systems that support real business needs. You’ll take ownership of VeVe’s AWS-based data platform end to end — from architecture and ingestion through to transformation and core infrastructure. What You’ll Be Doing Establishing a reliable, scalable AWS-based data architecture that supports VeVe’s product, operational, and analytics needs as the business grows Delivering dependable data pipelines and ETL processes powered by Python scripting, ensuring data is accurate, timely, and production ready Building and owning trusted, analytics ready data models using dbt that serve as the foundation for reporting and decision making Improving data quality and trust by embedding validation, testing, and robust error handling across core datasets Enabling faster, more confident business decisions by producing consistent, well defined datasets for analytics and reporting Turning business and technical requirements into scalable data solutions that reduce manual work and operational friction You’ll Thrive in This Role If You Have Proven experience designing and delivering AWS-based data solutions Strong hands-on background in data architecture and system design Experience building and maintaining data pipelines and ETL processes Confidence working with tools such as dbt, Redshift, Hevo, Dagster, and Metabase Strong Python skills for data pipelines, orchestration, and automation Experience working with and extracting value from legacy data sources The ability to work remotely and autonomously and prioritise effectively in a fast-moving environment Comfort collaborating with both technical and non-technical stakeholders Our Values Culture fit matters deeply at VeVe. We’re looking for someone who lives and breathes our core values: Collectors at Heart – You care deeply about quality, craft, and the end user Dream Big – You think long-term and build for scale Stay Grounded – You focus on what delivers real value, not just what sounds impressive Why VeVe? Foundational impact – Rebuild and shape VeVe’s data platform from the ground up Global product, global team – Work remotely with talented people across the world Startup pace, iconic brands – Move fast while building for world-class IP Real ownership – Own systems end to end and make decisions that matter Meaningful work – Your data foundations directly support growth and product innovation To express your interest in becoming our next Senior Data Engineer, please submit your application using the Apply Now button.

Responsibilities

Establish a reliable, scalable AWS-based data architecture and deliver dependable data pipelines and ETL processes. Improve data quality and enable faster business decisions through consistent datasets for analytics and reporting.