Senior Data Engineer

About the role

We’re looking for a skilled Senior Data Engineer with strong experience in distributed systems, Python/Scala, and modern data engineering tools to help design and implement an end-to-end data architecture for a leading enterprise client. This role is part of a strategic initiative to enable robust analytics, BI, and operational workflows across both on-premise and cloud environments.

What you'll do

• Design and implement an end-to-end data solution architecture tailored to enterprise analytics and operational needs
• Build, maintain, and optimize data pipelines and transformations using Python, SQL, and Spark
• Manage large-scale data storage and processing with Iceberg, Hadoop, and HDFS
• Develop and maintain dbt models to ensure clean, reliable, and well-structured data
• Implement robust data ingestion processes, integrating with third-party APIs and on-premise systems

What you need

• 4–7 yrs of experience
• Python
• SQL
• Hadoop
• Spark
• dbt
• Airflow
• Any graduate

Good to have

• ETL
• Data modelling
• Scala