Senior Data Engineer

Overview

Senior Data Engineer to design and implement end-to-end data architecture and data pipelines for enterprise analytics and operational workflows.

What you'll do

• Design and implement end-to-end data solution architecture for enterprise analytics needs.
• Build, maintain, and optimize data pipelines and transformations using Python, SQL, and Spark.
• Manage large-scale data storage and processing using Iceberg, Hadoop, and HDFS.
• Develop and maintain dbt models for reliable, well-structured data.
• Implement data ingestion processes integrating third-party APIs and on-premise systems.
• Collaborate with cross-functional teams and contribute to documentation and data-quality improvements.

What you'll need

• 4+ years of data engineering experience, including at least 1 year with on-premise systems.
• Proficiency in Python for data workflows and pipeline development.
• Strong experience with SQL, Spark, Iceberg, Hadoop, HDFS, and dbt.
• Familiarity with third-party APIs and data ingestion processes.
• Excellent communication skills to work with technical and non-technical stakeholders.
• Master’s degree in Data Science or a related field.
• Experience with Airflow or other orchestration tools.
• Hands-on experience with Cursor, Copilot, or similar AI-powered developer tools.

Details

• Location: Hyderabad, TS, India.