Senior Staff Engineer - SAS Programmer

Nagarro; Región Centro; Presencial; MXN 540,000 - 811,000; Jornada completa

Descripción de la vacante

A leading digital product engineering company is seeking professionals proficient in SAS programming and Microsoft SQL to join their dynamic team. Ideal candidates should have over 3 years of experience dealing with large datasets and be skilled in data validation and transformation. Familiarity with data visualization tools and cloud platforms is a plus. This position promises exciting opportunities to work in a collaborative, non-hierarchical environment.

Formación

• 3+ years of professional experience in SAS programming.
• Strong proficiency in Microsoft SQL, including joins and performance tuning.
• Experience with relational databases like Oracle or SQL Server.
• Ability to work with large datasets and understand data validation.

Conocimientos

SAS programming

Microsoft SQL

Data validation

Data transformation

Problem-solving

Documentation

Herramientas

Google BigQuery

Tableau

Power BI

Descripción del empleo

Company Description

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 36 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

Job Description

Job Description:

• 3+ years of professional experience in SAS programming (Base SAS, SAS Macro, SAS/SQL).
• Strong proficiency in Microsoft SQL (Joins, subqueries, views, indexing, performance tuning).
• Experience with relational databases such as Oracle, SQL Server, or PostgreSQL.
• Demonstrated ability to work with large, complex datasets.
• Solid understanding of data validation, transformation, and statistical reporting.
• Strong attention to detail and problem-solving skills.
• Excellent documentation and communication skills.

Nice-to-Have

• Experience with Google BigQuery (preferred).
• Experience with Python or R for data analysis.
• Knowledge of data visualization tools (Tableau, Power BI).
• Understanding of regulatory environments (e.g., FDA, HIPAA, GDPR) if applicable.
• Exposure to ETL processes, data warehousing, or cloud platforms (AWS, Azure, GCP).

Qualifications

Must have Skills: SAS, SQL (Strong)

Good To Have Skills : Google BigQuery