Senior Data Engineer

About the role

The team works on cutting-edge technologies and handles massive data volumes, ensuring seamless data flow from various sources to our data warehouse and analytics platforms. We play a crucial role in powering Machine Learning models across various use cases by building sophisticated feature engineering pipelines, deploying ML model infrastructure, and maintaining real-time feature generation systems.

What you'll do

• Partner closely with business stakeholders to understand and translate data warehouse requirements into technical solutions
• Provide comprehensive support for data warehouse initiatives including requirements gathering, solution design, and implementation
• Optimize data warehouse performance through query optimization, indexing strategies, and architectural improvements
• Design, develop, and maintain robust ETL/ELT pipelines using modern data engineering tools
• Implement real-time and batch data processing solutions to meet business requirements

What you need

• 3–6 yrs of experience
• Machine learning
• SQL
• Data warehousing
• Python
• Spark
• Data modelling
• Any graduate

Good to have

• AWS
• Redshift
• Airflow
• Hadoop
• ETL
• NoSQL