Overview
Design, develop, and optimize cloud data pipelines and data warehouse solutions for enterprise analytics and data management. The role focuses on AWS, Apache Airflow, DBT, Snowflake, automation, migration, and operational reliability.
What you'll do
- Design and implement scalable AWS data pipelines for analytics and reporting.
- Develop Airflow workflows for data ingestion, transformation, and loading.
- Build modular DBT transformation models and maintain data quality.
- Manage and optimize Snowflake data warehouses.
- Automate deployments and infrastructure using Terraform or CloudFormation.
- Troubleshoot pipeline failures and optimize performance, capacity, and reliability.
- Support data migration, cloud adoption, system upgrades, and enterprise integrations.
What you'll need
- 5+ years supporting enterprise cloud data pipelines or infrastructure.
- Hands-on experience with AWS, Snowflake, Apache Airflow, and DBT.
- Strong SQL, Python, and Shell scripting skills.
- Experience with data migration, automation, and performance tuning.
- Knowledge of Git, Jenkins, CI/CD pipelines, and infrastructure automation.
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
- Strong troubleshooting, optimization, collaboration, and communication skills.
Nice to have
- Experience with Kubernetes, Terraform, DataOps, and monitoring platforms.
- Knowledge of Java, Scala, Spark, Presto, or Kafka.
- Industry experience in finance, healthcare, retail, or enterprise analytics.
- AWS Data Analytics, Solutions Architect, or equivalent certification.
Details
- Location: Bengaluru, Karnataka, India.
Read the full description and apply on the company’s own careers page.
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