The short string has the titles and the core skills. Start with it. The full string adds related skills: use it when the short string finds too many profiles. Copy a string as it is, or change the terms in the generator.
Data Engineer, Big Data Engineer, ETL Developer, Data Pipeline Engineer, Analytics Engineer
SQL, Python, Spark, Airflow, Snowflake, dbt, Kafka, AWS
Paste a string into the LinkedIn search box and open the People results. It finds profiles with one of the titles and the core skills. Set the location with the Locations filter. To get more results, remove a skill.
("Data Engineer" OR "Big Data Engineer" OR "ETL Developer" OR "Data Pipeline Engineer") AND SQL AND Python
("Data Engineer" OR "Big Data Engineer" OR "ETL Developer" OR "Data Pipeline Engineer") AND SQL AND Python AND (Spark OR Airflow OR Snowflake OR dbt)
Paste a string into the Keywords field of LinkedIn Recruiter, or split it between the Job titles and Keywords fields as shown. Set the location with the Location filter, not in the string.
("Data Engineer" OR "Big Data Engineer" OR "ETL Developer" OR "Data Pipeline Engineer") AND SQL AND Python
("Data Engineer" OR "Big Data Engineer" OR "ETL Developer" OR "Data Pipeline Engineer") AND SQL AND Python AND (Spark OR Airflow OR Snowflake OR dbt)
Recruiter fields for the full string
"Data Engineer" OR "Big Data Engineer" OR "ETL Developer" OR "Data Pipeline Engineer"
SQL AND Python AND (Spark OR Airflow OR Snowflake OR dbt)
Paste a string into Google. It finds public LinkedIn profiles of Data Engineer candidates. Google reads only the first 32 words, so each string shows its word count. To add a city, type it in quotes.
site:linkedin.com/in -site:business.linkedin.com ("Data Engineer" OR "Big Data Engineer" OR "ETL Developer" OR "Data Pipeline Engineer") SQL Python
14 of 32 words
site:linkedin.com/in -site:business.linkedin.com ("Data Engineer" OR "Big Data Engineer" OR "ETL Developer" OR "Data Pipeline Engineer") SQL Python (Spark OR Airflow OR Snowflake OR dbt)
18 of 32 words
Paste a string into Google. It finds GitHub profiles of people who list these skills. The words repositories, followers and following keep the results to profiles of people. Many GitHub profiles show no job title, so a city helps more than another title.
site:github.com "repositories" "followers" "following" -site:github.com/orgs -site:gist.github.com -inurl:tab -inurl:blob -inurl:tree SQL Python ("Data Engineer" OR "Big Data Engineer" OR "ETL Developer" OR "Data Pipeline Engineer")
21 of 32 words
site:github.com "repositories" "followers" "following" -site:github.com/orgs -site:gist.github.com -inurl:tab -inurl:blob -inurl:tree SQL Python (Spark OR Airflow OR Snowflake OR dbt) ("Data Engineer" OR "Big Data Engineer" OR "ETL Developer" OR "Data Pipeline Engineer")
25 of 32 words