Enroute

Senior Data Engineer

Enroute

full-time

Posted on:

Location Type: Hybrid

Location: Dinastía • 🇲🇽 Mexico

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Job Level

Senior

Tech Stack

AirflowAmazon RedshiftApacheAWSAzureBigQueryCloudCognosETLInformaticaKafkaOraclePandasPySparkPythonSparkSQLTableauTerraform

About the role

  • 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.
  • We care about who you are in the office and as an individual.
  • We want every Enrouter to become part of a great community of highly driven, responsible, respectful, and happy people.

Requirements

  • 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.
  • 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).
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
SQLETLELTPythonApache AirflowApache NiFiTalendInformaticaAWS Gluedata governance
Soft skills
communicationcollaborationproblem-solvinginnovationsocial awarenesstrustworthinessresponsibilityrespectfulnesshappinesscommunity engagement