Snowflake Data Engineer - PySpark/ETL

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