Data Engineer

Dentsu Webchutney; Bengaluru; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Dentsu Webchutney in Bengaluru is seeking a Data Engineer to maintain, improve, and clean data across operational and analytics databases. You will collaborate with software engineers, analytics teams, data scientists, and data warehouse engineers to understand requirements and troubleshoot issues.

Responsibilities include building data pipelines, assembling large data sets, automating processes, and creating analytics tools to derive insights on customer acquisition and operational efficiency.

Responsibilities

• Creates and maintains optimal data pipeline architecture
• Assembles large, complex data sets that meet functional / non-functional business requirementsIdentifies, 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 innovative industry leader
• Works with data and analytics experts to strive for greater functionality in our data systems

Job description

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 innovative industry leader
• Works with data and analytics experts to strive for greater functionality in our data systems

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.