- Receive granular transaction data and transform it into aggregated data cuts.
- Clean transform validate and upload financial data into Snowflake.
- Run and improve Python scripts that generate financial cuts with a strong reliance on Pandas and SQL.
- Write edit and optimize SQL queries to support reporting and analysis.
- Automate manual workflows.
- Support the migration of workflows from Airflow to Prefect.
- Create and maintain schemas in Snowflake for new tables.
- Handle ad-hoc Finance requests sometimes with short deadlines.
- Collaborate in meetings with Data Science and Data Engineering teams contributing to process improvements and decision-making.
Qualifications :
- Strong experience with Python SQL and Pandas.
- Highly comfortable with complex data transformations
- Ability to use and debug large internal code libraries
- Hands-on experience with ETL pipelines and data cleaning.
- Familiarity with Snowflake (SQL knowledge is key; direct Snowflake experience is a plus).
- Experience with DBT is highly valued but not required (processes are expected to migrate there in the future).
- Familiarity with Git.
- Basic knowledge of AWS.
- Experience migrating or maintaining workflow orchestration tools (Airflow Prefect).
- Strong analytical skills with a background in data analysis.
- Ability to handle ad-hoc requests and deliver results under tight deadlines.
- Strong problem-solving skills and autonomy to propose and implement improvements.
What about languages
You will need excellent written and verbal English for clear and effective communication with the team.
Additional Information :
Our Perks and Benefits:
Learning Opportunities:
Travel opportunities to attend industry conferences and meet clients.
Mentoring and Development:
Celebrations & Support:
Flexible working options to help you strike the right balance.
Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location please consult with one of our recruiters.
Remote Work :
Yes
Employment Type :
Full-time
Receive granular transaction data and transform it into aggregated data cuts.Clean transform validate and upload financial data into Snowflake.Run and improve Python scripts that generate financial cuts with a strong reliance on Pandas and SQL.Write edit and optimize SQL queries to support reporting...
- Receive granular transaction data and transform it into aggregated data cuts.
- Clean transform validate and upload financial data into Snowflake.
- Run and improve Python scripts that generate financial cuts with a strong reliance on Pandas and SQL.
- Write edit and optimize SQL queries to support reporting and analysis.
- Automate manual workflows.
- Support the migration of workflows from Airflow to Prefect.
- Create and maintain schemas in Snowflake for new tables.
- Handle ad-hoc Finance requests sometimes with short deadlines.
- Collaborate in meetings with Data Science and Data Engineering teams contributing to process improvements and decision-making.
Qualifications :
- Strong experience with Python SQL and Pandas.
- Highly comfortable with complex data transformations
- Ability to use and debug large internal code libraries
- Hands-on experience with ETL pipelines and data cleaning.
- Familiarity with Snowflake (SQL knowledge is key; direct Snowflake experience is a plus).
- Experience with DBT is highly valued but not required (processes are expected to migrate there in the future).
- Familiarity with Git.
- Basic knowledge of AWS.
- Experience migrating or maintaining workflow orchestration tools (Airflow Prefect).
- Strong analytical skills with a background in data analysis.
- Ability to handle ad-hoc requests and deliver results under tight deadlines.
- Strong problem-solving skills and autonomy to propose and implement improvements.
What about languages
You will need excellent written and verbal English for clear and effective communication with the team.
Additional Information :
Our Perks and Benefits:
Learning Opportunities:
Travel opportunities to attend industry conferences and meet clients.
Mentoring and Development:
Celebrations & Support:
Flexible working options to help you strike the right balance.
Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location please consult with one of our recruiters.
Remote Work :
Yes
Employment Type :
Full-time
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