Senior Data Engineer at Enroute

Gran Dinastía, Nuevo León, Mexico -

Full Time

Start Date

Immediate

Expiry Date

25 Mar, 26

Salary

0.0

Posted On

25 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, SQL, Cloud Data Warehouse, ETL, ELT, Apache Airflow, Python, Data Manipulation, Reporting Tools, Data Governance, Communication Skills, Collaboration Skills, Real-Time Data Processing, Infrastructure as Code, DevOps Practices, Machine Learning

Industry

IT Services and IT Consulting

Description

We love technology, and we enjoy what we do. We are always looking for innovation. We have social awareness and try to improve it daily. We make things happen. You can trust us. Our Enrouters are always up for a challenge. We ask questions, and we love to learn. We pride ourselves on having great benefits and compensations, a fantastic work environment, flexible schedules, and policies that positively impact the balance of work and life outside of it. We care about who you are in the office and as an individual. We get involved, we like to know our people, we want every Enrouter to become part of a great community of highly driven, responsible, respectful, and above all, happy people. We want you to enjoy working with us. Required Qualifications 5+ years of professional experience in a dedicated Data Engineering role, with significant experience managing the full data lifecycle. Expert-level proficiency in SQL and experience working with large-scale relational and non-relational databases. Deep hands-on experience with a major cloud data warehouse platform (e.g., Snowflake, AWS Redshift, Google BigQuery, or Azure Synapse Analytics). Solid experience developing and maintaining production-grade ETL/ELT pipelines using tools like Apache Airflow, Apache NiFi, Talend, Informatica, or AWS Glue Experience using Python for data manipulation (e.g., Pandas, PySpark). Solid understanding and use of reporting tools like Power BI, Cognos, Tableau, Looker, BusinessObjects, or Oracle BI Familiarity with data governance concepts (e.g., metadata management, data lineage) and implementing security best practices. Excellent communication and collaboration skills, with the ability to translate complex technical concepts to non-technical stakeholders. Preferred Qualifications Experience with real-time/streaming data processing technologies (e.g., Apache Kafka, Kinesis, Spark Streaming). Experience with Infrastructure as Code (IaC) tools like Terraform or CloudFormation. A background in data science tooling or supporting machine learning pipelines. Experience in DevOps practices for data infrastructure (CI/CD, monitoring, logging). 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 Equal employment Enroute is committed to providing equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Responsibilities

The Senior Data Engineer will manage the full data lifecycle and develop production-grade ETL/ELT pipelines. They will also collaborate with stakeholders to translate complex technical concepts into understandable terms.