Sr. Data Engineer — Flexible Work (Snowflake, dbt, Python)

Kunai; México; Hybrid; MXN 900.000 - 1.200.000; Vollzeit

Benefits dieser Stelle

Competitive compensation

Professional development opportunities

Flexible work arrangements

Zusammenfassung

Kunai, a fintech-focused technology partner, seeks a Senior Data Engineer to design, build, and optimize scalable data pipelines supporting analytics and BI across banking and payments domains.

You will leverage SQL, Snowflake, dbt, and Python, collaborate with analysts, data scientists, and business stakeholders, and rapidly adapt to evolving data models while ensuring data quality and reliable infrastructure. The role offers growth opportunities and flexible work arrangements.

Qualifikationen

• Proven experience with SQL and modern data warehousing.
• Hands-on experience with dbt for data transformation and modeling.
• Strong Python programming for data engineering tasks.
• Experience designing and managing ETL processes and scalable pipelines.
• Ability to understand complex data models.
• Strong analytical and communication skills.

Aufgaben

• Design, develop, and optimize data pipelines and ETL workflows using SQL, Snowflake, dbt, and Python.
• Collaborate with data analysts, data scientists, and stakeholders to translate requirements into data models.
• Rapidly learn existing and new data models to maintain and enhance data infrastructure.
• Ensure data quality, consistency, and reliability across pipelines and data stores.
• Monitor, troubleshoot, and improve performance of data pipelines and query workloads.

Kenntnisse

SQL

Snowflake

dbt

ETL

Python

Data modeling

Data pipelines

Communication

Ausbildung

Bachelor's Degree

Tools

Snowflake

dbt

Jobbeschreibung

Kunai, a fintech-focused technology partner, seeks a Senior Data Engineer to design, build, and optimize scalable data pipelines supporting analytics and BI across banking and payments domains.

You will leverage SQL, Snowflake, dbt, and Python, collaborate with analysts, data scientists, and business stakeholders, and rapidly adapt to evolving data models while ensuring data quality and reliable infrastructure. The role offers growth opportunities and flexible work arrangements.