Senior Data Engineer

Overview

Senior Data Engineer to design, build, and maintain scalable data platforms and pipelines across AWS and Azure.

What you'll do

• Develop and optimize secure, reliable data pipelines using batch and streaming patterns.
• Build ETL/ELT workflows ingesting data from structured and unstructured sources.
• Implement transformations and orchestration using Databricks (Spark), SQL, and Python.
• Design analytics-optimized data models for reporting and analytics.
• Support Snowflake data warehouse solutions including schema design and performance tuning.
• Prepare and engineer features for SageMaker and Amazon Bedrock use cases.
• Implement CI/CD pipelines and infrastructure-as-code (Terraform, ARM, CloudFormation).

What you'll need

• 5+ years of experience in data engineering or related roles.
• 3+ years of hands-on experience with cloud data platforms (AWS and/or Azure).
• Strong experience with Python and SQL.
• Hands-on experience with Databricks (Apache Spark).
• Experience with Snowflake data warehouse.
• Experience supporting ML/AI workloads using SageMaker and Amazon Bedrock (or equivalent).
• Bachelor’s degree in CS/Engineering/Information Systems/Data Science or related field.

Details

• Location: Bengaluru, KA.