Job Summary

The Data Science and Engineering Team works within the broader Collinson Central Data Team but is directly related to our Valuedynamx division, the division is in charge of managing, operating and servicing loyalty ecommerce programs. This involves working across multiple datasets (of varying scale and complexity), multiple teams and businesses to build appropriately styled, data-driven solutions to a commercial-product level.

This role focuses on collecting, parsing, managing and analysing large sets of data to turn information into insights using multiple platforms.

The Data

Engineer will decide on the needed infrastructure and software design needs of the department and provide recommendations for building solutions.

The Data

Engineer should be able to develop prototypes and proof of concepts for the selected solutions.

Responsibilities

- Integration Specification Design

- Design, develop, and maintain robust data pipelines to ingest, transform, and load data into multiple data stores

- Write efficient, scalable, and maintainable code, primarily using Python and PySpark

- Collaborate closely with internal stakeholders to understand data requirements and deliver effective solutions

- Resolve day-to-day technical challenges independently, without the need for constant guidance

- Provide proactive, skilled, and reliable technical support when required

- Produce high-quality technical documentation to support delivered solutions

- Actively participate in Agile planning, design, and refinement sessions

- Contribute to continuous improvement of Agile processes to enhance team productivity and effectiveness





- Participate in code peer reviews to improve code quality and ensure adherence to development standards

- Engage in regular team meetings to align on priorities, highlight risks, share decisions, and resolve issues

- Support, enhance, and maintain CI/CD pipelines for data solutions

- Stay current with emerging technologies and maintain strong technical awareness within the data engineering domain

Team Working

- Be an active member of the VDX Data team, contribute to team dynamics, ways of working and assisting with improvement opportunities

- Provide regular and accurate reports of progress to Technical leads

- Build strong relationships with stakeholders with a view to providing high-value solutions within the business whilst keeping communication channels open at all times

- Maintain strong technical awareness and familiarity with new and upcoming technologies around Data Integration and Business Intelligence Analysis.

- Stay abreast of the industry and participate in external communities in order to keep up to date and offer the most informed position when defining or consulting on solution design

- Availability and flexibility of working hours, as standard 11:00 - 7:30 pm would be expected.

Knowledge, skills and experience required

Core Skills

- Bachelor s degree in Engineering, or equivalent practical experience





- 2-4 years of experience in a Data Engineering role or working with comparable data systems and technologies

- Hands-on experience with Agile development methodologies such as Scrum or Kanban

- Experience working within distributed, multi-team delivery environments

Technical Skills

- Strong understanding of modern data architectures and data modelling principles

- Advanced programming expertise in Python and PySpark

- Extensive hands-on experience with AWS services, including Glue, Lambda, S3, SES, SNS, Athena, and EMR

- Solid working knowledge of Databricks applications

- Strong proficiency in SQL for data querying and transformation

- Familiarity with CI/CD practices for building and deploying data pipelines

- Experience using source control systems such as GitHub Enterprise

Personal Skills

- Proven ability to build and manage effective stakeholder relationships

- Excellent written and verbal communication skills in English

- Enthusiastic, approachable, and confident communicator, capable of presenting and guiding others

- Ability to bridge communication gaps between technical teams and business stakeholders

- Strong passion for technology with a willingness to learn and adopt new tools, frameworks, and methodologies

- Ability to thrive in a fast-paced and evolving environment

- Self-motivated with the ability to work independently and take initiative

- Flexible and willing to take on a variety of roles and responsibilities

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.

📌 Jr Data Engineer (Mumbai)
🏢 Collinson
📍 Mumbai