Data Engineer I, DSP Analytics

About the role

Here, you'll have the opportunity to dive deep into complex business and data problems, drive large-scale technical solutions, and raise the bar for operational excellence.

What you'll do

• Help design and build the next generation of data infrastructure powering GenAI applications, and develop agents that automate the end-to-end data operations lifecycle
• Design, build, and maintain robust data pipelines to acquire, process, and store data from various sources such as databases, APIs, and external data providers
• Develop and optimize ETL (Extract, Transform, Load) processes to clean, enrich, and structure raw data into a usable format for analysis and reporting
• Implement and manage data warehousing solutions to ensure efficient data storage, retrieval, and query performance
• Establish data quality standards, perform data validation, and proactively identify and address data quality issues

What you need

• 1–4 yrs of experience
• Analytics
• SQL
• ETL
• Python
• Data warehousing
• Data modelling
• Any graduate

Good to have

• AWS
• Hadoop
• Spark
• Redshift
• IAM
• Hive