Data Engineer

Merkle Schweiz; Pune District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Merkle Schweiz in Pune, India, is seeking a Data Engineer to design, build, and maintain scalable data pipelines. You will assemble large, complex data sets that meet business requirements and contribute to data integration across teams.

Collaborate with stakeholders from Executive, Product, Data and Design to support data infrastructure needs, automate manual processes, and improve data delivery, ensuring security and high-quality analytics tools for insights.

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

Job description

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