Senior Data Engineer – Cloud, Snowflake, PySpark

This is a fully remote position, open to applicants in Mexico.

📋 Description

• Design, develop, and sustain **scalable, dependable, and high-performance data pipelines**.

• Create end-to-end **ETL / ELT workflows**.

• Manage large-scale datasets utilizing **Spark / PySpark**.

• Construct and orchestrate cloud-native pipelines within **AWS and/or Azure**.

• Design and enhance **Snowflake data warehouse solutions**.

• Ensure **performance, scalability, governance, and cost optimization**.

• Compose and refine **advanced SQL queries**.

• Collaborate effectively with **Data Scientists, Analysts, and Software Engineers**.

• Convert business needs into **production-ready data solutions**.

• Guarantee **data consistency, availability, and quality**.

• Implement **CI/CD, Git workflows, and Dockerized deployments**.

• Enhance the reliability and observability of data platforms.

⛳️ Requirements

• ✅ Must-Have Requirements: **Core Data Engineering**

• - **5+ years of professional experience** in Data Engineering or related fields.

• - Extensive experience in designing and maintaining **scalable data pipelines**.

• - Comprehensive understanding of **ETL / ELT best practices**.

• - Significant experience with **large-scale data processing architectures**.

• - Proven track record in **batch data processing**.

• - Strong background in **data warehousing concepts**.

• **Programming & Data Processing**

• - Proficient in **Python**.

• - Solid hands-on experience with **Apache Spark / PySpark**.

• - Proficient in **SQL** (complex queries, optimization, transformations).

• - Extensive experience handling **large structured and unstructured datasets**.

• **Cloud & Infrastructure**

• - Practical experience with **AWS or Azure**.

• - Experience in building **cloud-native data solutions**.

• - Familiarity with **Docker**.

• - Experience with **CI/CD pipelines**.

• - Strong knowledge of **Git / version control**.

• **Data Orchestration**

• - Substantial hands-on experience with **Apache Airflow**.

• - Experience in designing **workflow orchestration pipelines**.

• - Proficient in scheduling, monitoring, and failure recovery strategies.

• **Critical Must-Have**

• - **Strong expertise in Snowflake (MUST HAVE)**.

• - Design of Snowflake data warehouse.

• - Development within Snowflake.

• - Query and warehouse **optimization**.

• - Performance tuning and **cost efficiency**.

• - Knowledge of cloud data warehouse architecture best practices.

🏝️ Benefits

• - Monetary compensation.

• - Year-end Bonus.

• - IMSS, AFORE, INFONAVIT.

• - Major Medical Expenses Insurance.

• - Minor Medical Expenses Insurance.

• - Life Insurance.

• - Funeral Expenses Insurance.

• - Preferential rates for car insurance.

• - TDU Membership.

• - Holidays and Vacations.

• - Sick days.

• - Bereavement days.

• - Civil Marriage days.

• - Maternity & Paternity leave.

• - English and Spanish classes.

• - Performance Management Framework.

• - Certifications.

• - TALISIS Agreement: Discounts at ADVENIO, Harmon Hall, U-ERRE, UNID.

• - Taquitos Rewards.

• - Amazon Gift Card on your Birthday.

• - Work-from-home Bonus.

• - Laptop Policy.