Job Title: - Python with Pyspark and SQL
Location: - AIA Kolkata
Job Type 3 days from office (Hybrid)
Minimum 6 to 13 years of experience
Responsibilities
Design and implement efficient data solutions using Snowflake Tasks to streamline data processing workflows.
Develop and maintain Snowflake Streams to ensure real-time data capture and processing capabilities.
Utilize Snowflake SQL to perform complex queries and data transformations enhancing data accessibility and insights.
Implement Snowpipe for seamless data ingestion ensuring timely and accurate data availability.
Collaborate with cross-functional teams to understand data requirements and translate them into technical specifications.
Optimize Snowflake architectures for performance and scalability ensuring robust data solutions.
Provide technical guidance and support to junior developers fostering a collaborative and innovative environment.
Conduct regular code reviews to ensure adherence to best practices and maintain high-quality standards.
Troubleshoot and resolve technical issues related to Snowflake implementations minimizing downtime and disruptions.
Stay updated with the latest Snowflake features and industry trends integrating them into existing solutions.
Document technical processes and solutions ensuring knowledge transfer and continuity.
Engage in continuous improvement initiatives to enhance data processing efficiency and effectiveness.
Qualifications
Demonstrate proficiency in Snowflake Tasks showcasing ability to automate data workflows.
Exhibit expertise in Snowflake Streams ensuring real-time data processing capabilities.
Possess strong skills in Snowflake SQL enabling complex data manipulations and insights.
Have experience with Snowpipe ensuring efficient data ingestion processes.
Show ability to work collaboratively in a hybrid work model balancing remote and in-office tasks.
Display excellent problem-solving skills addressing technical challenges effectively.
Maintain a proactive approach to learning and integrating new Snowflake features.
