Senior Data Engineer

Primary Skills
- ETL Fundamentals, SQL, BigQuery, Dataproc, SQL (Basic + Advanced), Python, Data Catalog, Data Warehousing, Composer, Dataflow, Cloud Trace, Cloud Logging, Cloud Storage, Datafusion, Modern Data Platform Fundamentals, Data Modelling Fundamentals, PLSQL, T-SQL, Stored Procedures

Specialization
- GCP Data Engineering Basic: Senior Lead Data Engineer

Job requirements

Hiring: Snowflake Data Engineer

Locations: Bengaluru | Pune | Hyderabad | Chennai | Gurgaon
Experience: 2-6 Years
Employment Type: Full-Time

About the Role

We are looking for talented Snowflake Data Engineers who are passionate about building up-to-date cloud data platforms and scalable data pipelines. The ideal candidate should have hands-on experience with Snowflake, Python, Airflow, DBT, and AWS and be eager to work on enterprise-scale data transformation initiatives.

Key Responsibilities
- Develop and maintain scalable ETL/ELT pipelines using Snowflake and modern data engineering technologies.
- Design and implement data models, transformation frameworks,



and data integration solutions.
- Build and optimize data workflows using Airflow and DBT.
- Develop Python-based automation and data processing solutions.
- Work with AWS services for data ingestion, storage, and processing.
- Optimize Snowflake performance, query execution, and warehouse utilization.
- Collaborate with business, analytics, and engineering teams to deliver high-quality data solutions.
- Ensure data quality, governance, security, and operational excellence across data platforms.
- Troubleshoot production issues and provide ongoing support for data pipelines.

Required Skills

Snowflake Development & Data Warehousing
Python Programming
Apache Airflow Workflow Orchestration
DBT (Data Build Tool)

AWS Cloud Services (S3, Lambda, Glue, EC2, etc.)
Strong SQL and Data Modeling skills
ETL/ELT Pipeline Development
Understanding of Data Warehousing Concepts

Preferred Skills

Experience with CI/CD and G

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