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Let’s say that your company is running a standard control and variant AB test on a feature to increase conversion rates on the landing page. The PM checks the results and finds a .04 p-value.

How would you assess the validity of the result?

Experiment Validity

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

What is a key disadvantage of the F-test when compared to multiple t-tests?

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

Suppose there exists a new airline named Jetco that flies domestically across North America. Jetco recently had a study commissioned that tested the boarding time of every airline, and it came out that Jetco had the fastest average boarding times of any airline.

What factors could have biased this result, and what would you look into?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

Boarding Times Bias

A new airline came out as the fastest average boarding times compared to other airlines.  What factors could have biased this result and what would you look into?

Intraedge Salaries by Position

About the Role:We are seeking a highly motivated and experienced Big Data Engineer to join our growing team in Chennai, Bangalore, or Gurgaon. In this role, you will play a key part in designing, developing, and managing our big data infrastructure on Google Cloud Platform (GCP). You will leverage your expertise in big data technologies and GCP services to build, deploy, and maintain scalable and reliable data pipelines for processing and analyzing large datasets.Responsibilities:<ul><li>Design, develop, and implement big data solutions using GCP services like BigQuery, Cloud Dataflow, Cloud Dataproc, and Cloud Storage.</li><li>Ingest, transform, and load (ETL) data from various sources into BigQuery for efficient data analysis.</li><li>Looking for a Data Engineer with strong expertise in Python and Big Data concepts to build, optimize, and scale data processing pipelines and solutions.</li><li>Develop and automate data pipelines using tools like Cloud Dataflow for large-scale data processing.</li><li>Manage and optimize big data infrastructure on GCP to ensure scalability, performance, and cost-effectiveness.</li><li>Configure and implement security best practices for big data storage and processing in GCP.</li><li>Monitor and troubleshoot big data pipelines and identify areas for improvement.</li><li>Work collaboratively with data scientists, analysts, and other engineers to translate data needs into technical solutions.</li><li>Stay up-to-date with the latest advancements in big data technologies and GCP services.</li></ul>Qualifications:<ul><li>5+ years of experience in big data engineering or a related role.</li><li>Proven experience in designing and developing big data solutions on the cloud (preferably GCP).</li><li>Strong understanding of big data concepts (data lakes, data warehouses, distributed processing)</li><li>Expertise in GCP services for big data processing (BigQuery, Cloud Dataflow, Cloud Dataproc).</li><li>Experience with scripting languages like Python for data manipulation and automation.</li><li>Experience with cloud storage solutions (e.g., Cloud Storage) a plus.</li><li>Experience with data warehousing concepts and data modeling techniques (a plus).</li><li>Excellent analytical and problem-solving skills.</li><li>Strong communication and collaboration skills.</li><li>Ability to work independently and as part of a team.</li></ul>

Intraedge Interview Questions

Intraedge Interview Guides

Intraedge Interview Questions

Intraedge Salaries by Position

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