Python with Pyspark and SQL

Cognizant Technology Solutions India Pvt Ltd is hiring for a Python with Pyspark and SQL role based in Hyderabad. The position involves working with cross-functional teams to build efficient data solutions, maintain data streams, and handle data ingestion.

What you'll do

• Design and implement efficient data solutions using Snowflake
• Develop and maintain Snowflake Streams for real-time data capture and processing
• Utilize Snowflake SQL to perform complex queries and data transformations
• Implement Snowpipe for seamless data ingestion
• Collaborate with cross-functional teams to understand data requirements

Tap what's true for you. Your answers are saved for every other job too.

Put these words in your resume and practise these questions before the interview.

Technical

1. How do you handle complex data transformations using Snowflake SQL?
2. What is the role of Snowflake Streams in real-time data capture?
3. How do you optimize data pipelines using Python and Pyspark?

Scenario

1. What would you do if a Snowflake data ingestion pipeline via Snowpipe experiences a sudden delay?
2. How would you troubleshoot an inefficient query causing performance bottlenecks in Snowflake?

HR

1. Can you describe your experience working in cross-functional data teams?
2. How do you keep your technical skills updated with rapidly changing data stack technologies?

About Cognizant Technology Solutions India

1. How does Cognizant leverage modern data platforms like Snowflake to deliver value to its clients?

Practice questions written from the job listing, not this company's real interview questions.

Applied here? Tell the next person what happened. It's anonymous and takes one tap.