Job Title : Snowflake Data Engineer
Location : Pune, Hyderabad | Hybrid
Experience : 5+ Years
About the Role :
We are looking for a Snowflake Data Engineer with strong expertise in data architecture, pipeline development, and cloud-native solutions. Youll play a key role in designing, optimizing, and maintaining scalable data platforms that transform raw data into actionable insights. If you enjoy solving complex data challenges and want to work with cutting-edge cloud technologies, this role is for you.
Key Responsibilities :
Data Engineering & Pipeline Development :
- Design, build, and maintain scalable, efficient, and secure data pipelines.
- Implement ETL / ELT processes leveraging Snowflake and Python / PySpark.
Data Modeling & Architecture :
Develop and optimize data models, schemas, and warehouses to support analytics and BI.Ensure data integrity, performance tuning, and compliance with governance standards.Snowflake Expertise :
Leverage advanced Snowflake features : Snowpipe, Streams, Tasks, Time Travel, Data Sharing.Optimize query performance and manage warehouses, roles, and security policies.Cloud & Integration :
Work across AWS, Azure, or GCP environments for data storage, processing, and orchestration.Integrate Snowflake with third-party tools (Airflow, DBT, Kafka, BI tools).Collaboration & Delivery :
Partner with data scientists, BI teams, and business stakeholders to deliver data-driven insights.Contribute to client presentations, solution proposals, and business development activities.What You Bring :
5+ years of experience in Snowflake-based data engineering with strong Python / PySpark expertise.Solid experience with ETL / ELT pipeline design, data modeling, and cloud-native data solutions.Hands-on knowledge of AWS, Azure, or GCP cloud services.Strong understanding of SQL, performance tuning, and data security best practices.Excellent communication, leadership, and stakeholder management skills.Analytical mindset with adaptability to fast-paced and evolving environments.Preferred Qualifications :
Experience with orchestration tools (Airflow, Prefect, DBT).Knowledge of CI / CD practices and DevOps for data.Exposure to real-time streaming data (Kafka, Kinesis, Pub / Sub).Certifications in Snowflake, AWS, Azure, or GCP.(ref : hirist.tech)
