Statestreet HCL Services Senior Technical Lead Interview Questions and Answers for Experienced

LOD functions in Tableau allow you to compute values at different levels of granularity.

• LOD stands for Level of Detail

• They allow you to perform calculations that are not possible with regular aggregations

• They can be used to create custom aggregations, such as running totals or moving averages

• Examples include {FIXED}, {INCLUDE}, and {EXCLUDE} functions

Tableau has various types of filters to refine data, including dimension, measure, context, and extract filters.

• Dimension filters allow users to filter data based on specific dimensions, such as date or region.

• Measure filters allow users to filter data based on specific measures, such as sales or profit.

• Context filters create a temporary table that filters data before other filters are applied.

• Extract filters allow use...read more

As a Technical Lead Engineer, I lead the data analytics team and work on key metrics such as user engagement and revenue growth.

• Lead the data analytics team to develop and implement data-driven strategies

• Analyze user behavior and engagement to optimize product features

• Track revenue growth and identify opportunities for monetization

• Collaborate with cross-functional teams to drive business decisions based on data insight

I prefer to change my current role to take on new challenges and opportunities for growth.

• Seeking new challenges and opportunities for growth

• Wanting to expand my skill set and knowledge

• Looking for a role with more responsibility and leadership opportunities

• Desire to work in a different industry or with different technologies

• Wanting to work in a more collaborative and innovative environment

I have used the built-in scheduler in Azure Data Factory (ADF).

• ADF provides a built-in scheduler that allows you to schedule and orchestrate data integration and data transformation activities.

• The scheduler in ADF supports various scheduling options such as time-based, event-based, and tumbling window triggers.

• You can define the schedule for your pipelines and activities using JSON-based expressions.

• For example, you ca...read more

SQL query optimization involves analyzing and modifying queries to improve performance.

• Identify and eliminate unnecessary or redundant queries

• Use appropriate indexes to speed up data retrieval

• Optimize query structure and syntax

• Avoid using wildcard characters at the beginning of a LIKE statement

• Minimize the use of subqueries

• Use EXPLAIN or query execution plans to identify bottlenecks

• Consider denormalizing tables for fre...read more