Data Engineer, Senior
Xideral
AWSAzureETLGoogle Cloud PlatformMySQLPandasPostgresPythonSQL
Senior Data Engineer
Enroute
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇲🇽 Mexico
Visit company websiteJob Level
Senior
Tech Stack
AWSCloudDockerEC2ETLPySparkPythonSparkSQL
About the role
- Design, build, and maintain scalable, reliable, and high-performance data pipelines to support analytical and operational use cases.
- Perform Extract, Transform, and Load (ETL/ELT) of large volumes of structured and unstructured data using Spark/PySpark and other modern frameworks.
- Orchestrate end-to-end data processing solutions leveraging a wide array of AWS cloud services (including Glue, S3, Step Functions, Lambda, EC2, ECR, and ECS).
- Utilize and optimize Snowflake for data warehousing, transformation, and analytical workloads, ensuring industry-leading scalability and cost efficiency (Must-Have Expertise).
- Write, tune, and maintain complex SQL queries and Bash scripts for large-scale data analysis and processing.
- Implement advanced best practices for data modeling and ETL architectures.
- Implement engineering rigor, including CI/CD automation, version control (Git), and containerization (Docker) for reliable and repeatable deployments.
- Collaborate with cross-functional teams—including data scientists, analysts, and software engineers—to translate business needs into well-architected data solutions.
Requirements
- Experience: 5+ years of professional experience in data engineering or related fields.
- Core Programming: Strong programming skills in Python and proven experience with Spark/PySpark.
- Data Warehousing: Deep expertise in Snowflake, specifically in the design, development, and optimization of cloud-based data warehouses.
- Cloud Engineering: Deep hands-on experience with AWS cloud services for data processing and orchestration (Glue, S3, Lambda, Step Functions, ECS, etc.).
- Scripting & Querying: Advanced proficiency in SQL and Bash scripting.
- DevOps/MLOps: Practical experience with container technologies (Docker) and knowledge of CI/CD pipelines and version control using Git.
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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data pipelinesETLELTSparkPySparkSQLBash scriptingdata modelingCI/CDcontainerization
Soft skills
collaborationcommunication
