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, Up-to-date 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 modern 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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