We are looking for an experienced Snowflake Data Engineer to design, build, and optimize scalable data pipelines and cloud-based data warehouse solutions. The role involves working on enterprise-level analytics and digital transformation projects using Snowflake and modern data engineering tools.

Key Responsibilities :

- Design and develop data pipelines using Snowflake

- Build and manage Snowflake objects : tables, views, streams, tasks

- Perform data modeling and performance optimization

- Develop ELT/ETL workflows using Python and SQL

- Ingest data from multiple sources (APIs, databases, data lakes)

- Handle structured and semi-structured data (JSON, Parquet)

- Collaborate with analytics, business, and cloud teams

- Ensure data quality, security, and scalability

- Support client-facing delivery and project discussions

Mandatory Skills :

- Strong hands-on experience in Snowflake

- Advanced SQL

- Python for data engineering

- ELT/ETL pipeline development

- Cloud experience (AWS / Azure / GCP)

- Data modeling concepts

- Experience with large datasets

Good to Have :

- Snowpark (Python/Scala)

- DBT / Matillion / Fivetran

- CI/CD for data pipelines

- Cloud certifications

- Agile project experience

Candidate Profile :

- 6 - 10 years of overall data engineering experience

- Strong problem-solving and communication skills

- Experience working in client-facing or consulting environments

- Ability to work independently and as part of a team

Interview Process :

- Technical discussion (Snowflake, SQL, Python)

- Data engineering scenario-based discussion

- Managerial / client round