We are looking for an experienced Snowflake Data Engineer to design, build, and optimize scalable data pipelines and cloud-based data warehouse solutions. The ideal candidate should have strong expertise in Snowflake development, SQL, ETL tools, and Python/PySpark, with the ability to work in a fast-paced, cooperative setting.

Key Responsibilities
Design, develop, and maintain data pipelines using Snowflake and ETL tools.
Build and optimize data models, stored procedures, views, and Snowflake objects.
Develop scalable ETL/ELT workflows for data ingestion and transformation.
Write complex SQL queries for data extraction, transformation, and analysis.
Use Python/PySpark to process large datasets and automate data engineering tasks.
Optimize query performance and ensure effective data processing.
Collaborate with business stakeholders, analysts, and engineering teams to deliver data solutions.
Perform data validation, troubleshooting, and root cause analysis.
Follow best practices for coding, testing, deployment, and documentation.

Required Skills
710 years of experience in Data Engineering.




Robust hands-on experience with Snowflake Development.
Excellent SQL skills with experience in query optimization.
Experience with any ETL tool (Informatica, Talend, Matillion, DataStage, SSIS, etc.).
Strong programming skills in Python and/or PySpark.
Valuable understanding of data warehousing concepts and ETL/ELT architecture.
Experience in performance tuning and data pipeline optimization.
Strong analytical and problem-solving skills.
Excellent verbal and written communication skills.

Preferred Skills
Experience with cloud platforms (AWS, Azure, or GCP).
Exposure to workflow orchestration tools such as Airflow.
Knowledge of CI/CD and version control (Git) is an added advantage.

What We're Looking For
Robust hands-on coding and development experience.
Excellent communication and stakeholder management skills.
Ability to work independently and deliver high-quality solutions.
Immediate joiners or candidates with a notice period of up to 30 days are highly preferred.

📌 Snowflake Data Engineer Bengaluru
🏢 Symphoni HR
📍 Bengaluru