- 2+ years experience delivering data solutions in a commercial environment.
- Hands-on experience working in a up-to-date cloud platform. AWS preferred, but experience of Azure and/or GCP is also beneficial.
- Demonstrable experience of data processing using ETL/ELT approaches and tools (e.g. Matillion, AWS, python).
- Data Warehouse/Data Platform experience with a modern cloud data solution such as Snowflake, Databricks, BigQuery, or equivalent.
- Good knowledge of SQL (including DML and DDL).
- Proven ability to quickly adapt to new technologies, concepts, and approaches.
- Experience creating technical documentation to a high standard across the full delivery cycle.
- Ability to break down technical concepts into plain English and communicate these to both technical and non-technical colleagues.
- Ability to accurately estimate work and deliver to agreed timescales.
- Confident verbal and written English.

- Gathering and interpreting requirements from stakeholders and translating these to technical designs.
- Creation of clear and comprehensive design documentation, detailing solutions for technical audiences across multiple teams.
- Collaborating with stakeholders and delivery personnel both within the team and across the wider business.
- Taking accountability and sharing responsibility for implementation of data solutions with the rest of the Data Engineering team.
- Reliable estimation and delivery of work in a fast-paced, commercial environment.
- Supporting the design and development of scalable, robust, secure data solutions, including ELT/ETL pipelines, data modelling,



and point integrations with downstream systems.
- Working with Data Engineering & Architecture colleagues to support our Data Platform and deliver against our platform roadmap.
- Supporting adoption of best practices and continuous improvement to ensure our teams stay abreast of industrial standards.

Were hiring for a Data Engineer to join our Data Engineering team, who are responsible for building and maintaining multiple data solutions for our business and our diverse client base. Experts in creating robust, scalable data pipelines, our team s foundational work supports our ever-increasing demand for data-driven products and services across the company.

As a Data Engineer, you are responsible for end-to-end delivery of automated data processing solutions, from inception to delivery and ongoing support.

This role is hybrid, based in Mumbai.

adm-Indicia is proud to be an equal opportunity employer and is committed to creating a diverse environment. We recruit, employ, develop, compensate, and promote regardless of race, religion, colour, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law. Should you need any reasonable adjustments made to this application process, please dont hesitate to let us know.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Engineer (Mumbai)
🏢 Indicia Worldwide
📍 Mumbai