Snowflake Developer

Experience : 3 - 5 Years Relevant Experience

Location : Hyderabad / Bangalore / Pune / Chennai

Work Mode : Hybrid - 2 Days Work from Office

Work Timings : Rotational Shifts

- 7 : 00 AM - 4 : 00 PM

- 2 : 00 PM - 11 : 00 PM

- 10 : 00 PM - 7 : 00 AM

Interview Process : 2 Rounds

Interview Mode : Virtual

Role Overview :

We are looking for an experienced Snowflake Developer with strong expertise in Advanced SQL, AWS Glue, PySpark, Data Pipelines, Data Modeling, and CI/CD. The candidate will work on cloud-based data engineering solutions and should have strong communication skills as this is a client-facing role.

Key Responsibilities :

- Develop scalable ETL/ELT pipelines using AWS Glue, PySpark, and Spark SQL.

- Design, develop, and optimize data pipelines and workflows using AWS Glue.

- Work with Apache Iceberg tables, including schema evolution, compaction, metadata management, and time travel.

- Configure and manage Snowflake External Tables for Apache Iceberg integration.

- Develop complex SQL queries using CTEs, Window Functions, and advanced SQL techniques.

- Design and implement Data Models, including Star and Snowflake schemas.

- Configure Snowflake external stages and file formats with cloud storage such as AWS S3.

- Develop and maintain CI/CD pipelines using GitHub Actions.

- Automate Snowflake database object deployments and data pipeline implementations through Git-based workflows.

- Monitor and troubleshoot data pipelines using CloudWatch logs and other monitoring tools.

- Collaborate with clients and technical teams to understand requirements and deliver effective data solutions.

Required Technical Skills :

- Snowflake : Advanced SQL, External Tables, External Stages, File Formats.

- AWS : AWS Glue, S3, CloudWatch.

- Programming : Python, PySpark, Spark SQL.

- Apache Iceberg : Table management, metadata, schema evolution, and Spark integration.

- Data Engineering : ETL/ELT, Data Pipelines, Data Modeling.

- CI/CD : GitHub Actions and Git-based deployment workflows.

- Strong understanding of Star Schema and Snowflake Schema.

- Excellent communication and client-facing skills.

Candidate Profile :

- 3 - 5 years of relevant experience in Snowflake/Data Engineering.

- Strong hands-on experience with Snowflake, AWS Glue, PySpark, and Advanced SQL.

- Experience working on cloud-based data pipelines and data modeling.

- Good understanding of CI/CD and DevOps practices.

- Strong communication skills with the ability to interact effectively with clients.