Talend Developer

Talend Developer Interview Questions and Answers

Updated 16 Jul 2025
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Asked in Capgemini

4d ago

Q. If only 50 out of 100 records from the source are loaded to the target, what is your approach to debug the job and implement incremental loading?

Ans.

Approach to debug Talend job with 50% data loading to target out of 100 records from source

  • Check the log files for any errors or warnings

  • Verify the source and target connections

  • Check if any filters or transformations are causing the issue

  • Check if the job is designed for incremental load and if the correct parameters are set

  • Check if there are any data quality issues in the source data

  • Check if there are any network or system issues causing the job to fail

Asked in Capgemini

1d ago

Q. Pass variables from child to parent and then parent to child,how to process files with dynamic schema,

Ans.

To pass variables from child to parent and vice versa, use context variables. For dynamic schema, use Talend's tSchemaDynamic component.

  • Use context variables to pass variables between child and parent jobs

  • For dynamic schema, use Talend's tSchemaDynamic component

  • tSchemaDynamic allows for dynamic schema creation based on input data

  • Use tFileInputDelimited component to read files with dynamic schema

Asked in Capgemini

1d ago

Q. How would you configure the system to generate 10 emails for every successful loading of 10 files to the target?

Ans.

To generate 10 mails for every successful loading of 10 files to target.

  • Create a job that loads 10 files to target

  • Add a component to generate mails after successful loading

  • Configure the mail component to send 10 mails

  • Use a loop to repeat the process for every 10 files loaded

Asked in CGI Group

2d ago

Q. What is the difference between tJoin and tMap in Talend?

Ans.

tJoin is used to join two data streams based on a common key, while tMap is used to transform and manipulate data within a single data stream.

  • tJoin is used to combine data from two input streams based on a common key field

  • tMap is used to perform transformations, lookups, and calculations on data within a single input stream

  • tJoin is typically used for joining data from different sources, while tMap is used for data manipulation within a single source

  • Example: tJoin can be used ...read more

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Asked in CGI Group

3d ago

Q. What are the different types of routines in Talend?

Ans.

Different types of routines in Talend include Job, Context, Trigger, and Routine.

  • Job routines are used to define the main logic of a job

  • Context routines are used to manage job parameters and variables

  • Trigger routines are used to execute a job based on a specific event or condition

  • Routine routines are reusable code snippets that can be called from other components

Asked in Betsol

2d ago

Q. What is TAC, and can you explain triggers in TAC?

Ans.

TAC stands for Talend Administration Center. Triggers in TAC are used to schedule and automate the execution of jobs.

  • TAC is a web-based application used to manage, monitor, and administer Talend jobs and projects.

  • Triggers in TAC allow users to schedule the execution of jobs at specific times or based on certain conditions.

  • Triggers can be set to run jobs on a recurring basis, such as daily, weekly, or monthly.

  • Users can also set triggers to run jobs based on events, such as the...read more

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Asked in Betsol

3d ago

Q. What is the difference between tMap and tJoin?

Ans.

tMap is used for mapping and transforming data, while tJoin is used for joining data from multiple sources.

  • tMap is used for mapping and transforming data between input and output schemas

  • tJoin is used for joining data from multiple sources based on a common key

  • tMap allows for complex transformations and calculations, while tJoin is primarily for joining data

Asked in Vertiv

6d ago

Q. What do you know about Redshift?

Ans.

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud.

  • Columnar storage: Redshift stores data in a columnar format, which improves query performance.

  • Scalability: Easily scales from a few hundred gigabytes to petabytes of data.

  • Integration: Works seamlessly with various ETL tools like Talend for data ingestion.

  • Cost-effective: Offers a pay-as-you-go pricing model, making it affordable for businesses.

  • Data compression: Redshift automatically compres...read more

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