Senior Developer(Senior Data Science Engineer)

Overview

Senior Developer (Senior Data Science Engineer) focused on deriving insights from large-scale datasets and enabling data-driven decisions.

What you'll do

• Analyze large-scale datasets to uncover trends, patterns, anomalies, and insights.
• Design and optimize data pipelines, ETL/ELT flows, and analytical models using AWS services.
• Implement and tune distributed data processing workflows including Spark/EMR/Glue/Databricks.
• Use analytics and statistical techniques to build models and support predictive capabilities.
• Collaborate with engineering, product, and business teams to deliver data-driven solutions.
• Perform root-cause analyses on data pipeline failures and optimize reliability and cost.

What you'll need

• 5–10 years of experience in data analysis, engineering, or related data-driven disciplines.
• Strong hands-on expertise across the AWS ecosystem and data architecture.
• Proficiency in Python for scalable data pipelines and analysis workflows.
• 3–5 years of experience in data science or analytics, including statistical analysis and applied ML techniques.
• Strong system design and distributed architecture understanding for performance, scalability, and cost improvements.
• Exposure to Databricks is a strong advantage.

Details

• Location: Bengaluru, India.