The purpose of this role is to maintain, improve, clean and manipulate data in the business’s operational and analytics databases. The Data Engineer works with the business’s software engineers, data analytics teams, data scientists and data warehouse engineers in order to understand and aid in the implementation of database requirements, analyse performance, and troubleshoot any existent issues.

Key responsibilities

Creates and maintains optimal data pipeline architecture

Assembles large, complex data sets that meet functional / non-functional business requirements

Identifies, designs and implements internal process improvements: automating manual processes, optimising data delivery, re-designing infrastructure for greater scalability, etc

Builds analytics tools that utilise the data pipeline to provide actionable insights into customer acquisition,



operational efficiency and other key business performance metrics

Works with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs

Keeps our data separated and secure

Creates data tools for analytics and data scientist team members that assist them in building and optimising our product into an creative industry leader

Works with data and analytics experts to strive for greater functionality in our data systems

Location

DGS India - Pune - Indiqube Orchid

Brand

Merkle

Time Type

Full time

Contract Type

Permanent#DGS

📌 Data Engineer (India)
🏢 Dentsu Global Services
📍 India