Data Engineer Snowflake Airflow AWS OR Snowflake Data Engineer OR Sen

Ensetu Solutions; Chennai District, Bengaluru, Mumbai; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Ensetu Solutions is seeking a senior Data Platform Engineer in Mumbai or Bangalore with 8 years of experience in Snowflake, Airflow and AWS to build scalable data platforms.

You will implement Medallion architectures (Bronze/Silver/Gold), develop advanced SQL and dbt models, and craft production-grade Airflow DAGs with robust monitoring, idempotency and efficient scheduling.

Qualifications

• Senior resource with 8+ years of experience.
• Experience with high-concurrency Snowflake workloads.
• Proficient in building orchestration with Airflow and dbt.

Responsibilities

• Design and manage Snowflake data platforms for high-concurrency workloads.
• Implement Medallion Architectures (Bronze/Silver/Gold) for reusable data products.
• Develop SQL transformations and dbt models with modular, DRY patterns.
• Build production-grade Airflow DAGs with idempotent scheduling and monitoring.
• Leverage AWS S3 for data ingestion and Snowflake integrations.
• Maintain CI/CD pipelines using Bitbucket and Jenkins.

Skills

Snowflake

Airflow

AWS

SQL

dbt

DataCoves

Data Architecture

Tools

Jenkins

Bitbucket

Job description

Snowflake, Airflow, AWS (FTE)

Experience: 7 to 10 years

Any Project specific Prerequisite skills: Snowflake, Airflow, AWS

• Detailed JD

• We are looking for Senior resource with 8 years of experience Location MumbaiBangalore preferably
• Job description is given below
• Data Platforms Knowledge of Snowflake for highconcurrency workloads and scaling elastic compute experience building on DataCoves for managed orchestration
• Data Architecture Experience implementing Medallion Architectures BronzeSilverGold to deliver highquality reusable data products
• SQL dbt Experience with advanced SQL and dbt dbt build ability to create parameterized models using Jinja to ensure modular DRY and maintainable transformation logic
• Orchestration Knowledge of Apache Airflow for developing productiongrade eventdriven Python DAGs with a focus on idempotency automated scheduling and efficient task monitoring
• Cloud Infrastructure Knowledge of AWS specifically using S3 as a secure scalable storage layer for data ingestion and integration with Snowflake stages
• CICD Version Control Knowledge of Bitbucket for source code management and Jenkins for CICD
• Engineering Practices Experience applying DataasCode principles including version control and pipeline optimization to support scalable data platform operations
• Skills
• Mandatory Skills : Apache Airflow, AWS Cloud Architecture, Azure SQL, Data Architecture, Snowflake
  Good to Have Skills : Bitbucket