Data Engineer

• Bachelor’s degree in Data Science, Computer Science, Information Systems, Finance, or

a related field.

• Proven experience as a Data Analyst/Analytics Engineer role, preferably in the payments

industry with issuer processors.

• Proficiency in building and managing data transformations with dbt, with experience in

optimizing complex transformations and documentation.

• Hands-on experience with Snowflake as a primary data warehouse, including knowledge

of performance optimization, data modeling, and query tuning.

• Strong proficiency in data analysis tools and languages (e.g., SQL, Python).

• Strong understanding of data modeling principles and experience applying modeling

techniques.

• Proficiencywith data visualization tools such as Tableau, Power BI, or similar.

• Knowledge of payment processing system, card issuance, and related services.

• Experience with cloud-based data solutions (e.g., AWS, Azure, Google Cloud).

• Familiarity with modern data architecture such as data Lakehouse.

• Strong analytical, problem-solving, and communication skills.

• Attention to detail and a commitment to data quality and integrity.

• Familiarity with regulatory requirements and security standards in the financial industry.

• Bachelor’s degree in Data Science, Computer Science, Information Systems, Finance, or

a related field.

• Proven experience as a Data Analyst/Analytics Engineer role, preferably in the payments

industry with issuer processors.

• Proficiency in building and managing data transformations with dbt, with experience in

optimizing complex transformations and documentation.

• Hands-on experience with Snowflake as a primary data warehouse, including knowledge

of performance optimization, data modeling, and query tuning.

• Strong proficiency in data analysis tools and languages (e.g., SQL, Python).

• Strong understanding of data modeling principles and experience applying modeling

techniques.

• Proficiencywith data visualization tools such as Tableau, Power BI, or similar.

• Knowledge of payment processing system, card issuance, and related services.

• Experience with cloud-based data solutions (e.g., AWS, Azure, Google Cloud).

• Familiarity with modern data architecture such as data Lakehouse.

• Strong analytical, problem-solving, and communication skills.

• Attention to detail and a commitment to data quality and integrity.

• Familiarity with regulatory requirements and security standards in the financial industry.

• Bachelor’s degree in Data Science, Computer Science, Information Systems, Finance, or

a related field.

• Proven experience as a Data Analyst/Analytics Engineer role, preferably in the payments

industry with issuer processors.

• Proficiency in building and managing data transformations with dbt, with experience in

optimizing complex transformations and documentation.

• Hands-on experience with Snowflake as a primary data warehouse, including knowledge

of performance optimization, data modeling, and query tuning.

• Strong proficiency in data analysis tools and languages (e.g., SQL, Python).

• Strong understanding of data modeling principles and experience applying modeling

techniques.

• Proficiencywith data visualization tools such as Tableau, Power BI, or similar.

• Knowledge of payment processing system, card issuance, and related services.

• Experience with cloud-based data solutions (e.g., AWS, Azure, Google Cloud).

• Familiarity with modern data architecture such as data Lakehouse.

• Strong analytical, problem-solving, and communication skills.

• Attention to detail and a commitment to data quality and integrity.

• Familiarity with regulatory requirements and security standards in the financial industry.