Data Engineer (Python)

TL;DR

Data Engineer (Python): Delivering comprehensive data products to FinSys Data Platform supporting Accounting, Finance, Payments, and Tax teams with an accent on ETL pipelines, big data technologies, and workflow management. Focus on building scalable data pipelines using dbt, Airflow, Snowflake, Spark, and Kafka while ensuring data availability and reliability for stakeholders.

Location: Guadalajara, Mexico (100% Mexican Payroll)

Company

IT outsourcing company delivering data solutions to clients like Employer Foundations.

What you will do

• Build and maintain data pipelines using ETL tools like dbt for the FinSys Data Platform.
• Integrate big data technologies such as Snowflake, Redshift, Hive, Kafka, and Spark.
• Manage workflows with Airflow and handle both SQL and NoSQL databases.
• Collaborate with cross-functional Agile teams to support Accounting, Finance, Payments, and Tax functions.
• Deliver reliable data products improving availability for multiple stakeholders.

Requirements

• 5-7 years Senior-level Python experience
• 5+ years in Data Engineering or Data Warehousing
• 5+ years building ETL pipelines (dbt preferred)
• 3+ years with big data tech: Snowflake, Redshift, Hive, Kafka, Spark
• Extensive SQL/NoSQL databases and Airflow expertise
• Master’s or Bachelor’s in Math, Stats, CS or related + strong communication
• Agile team experience, self-starter with problem-solving skills

Culture & Benefits

• Paid Vacation, Holidays, Sick Days, Bereavement, Maternity/Paternity Leave
• Sport Compensation, English Classes, Food Vouchers, Training Compensation
• Savings Fund, Internet/Electricity Support, Aguinaldo, Vacation Bonus
• Work From Home