Data Engineer Sr. | Remote in Mexico
Summary
Senior Data Engineer who designs, builds, and maintains scalable ETL/ELT pipelines and data infrastructure for analytics and BI at a Latin American IT company. The role centers on SQL, Python/Java/Scala, big data tools (Hadoop, Spark, Databricks), cloud platforms (AWS/Azure/GCP), and orchestrators like Airflow. Fully remote within Mexico.
Important IT company At the Latin American level, growth requires:
Data Engineer Sr.
The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support data analytics, reporting, and business intelligence. This role ensures data is accessible, reliable, and optimized for performance across various systems.
Key Responsibilities:
Design, develop, and maintain ETL/ELT pipelines for ingesting and transforming data from multiple sources.
Build and optimize data models for analytics and reporting.
Implement and manage data storage solutions (e.g., relational databases, data lakes, cloud storage).
Ensure data quality, integrity, and security across all systems.
Collaborate with data scientists, analysts, and business teams to understand requirements and deliver solutions.
Monitor and improve data pipeline performance and troubleshoot issues.
Stay updated with emerging technologies and best practices in data engineering and cloud platforms.
Required Skills & Qualifications:
Proficiency in SQL and experience with relational databases (e.g., Oracle, MySQL, SQL Server).
Strong programming skills in Python, PL/SQL, Java, or Scala.
Experience with big data technologies (e.g., Hadoop, Spark, Databricks) and cloud platforms (AWS, Azure, GCP).
Hands-on experience with OpenShift or other container orchestration platforms (e.g., Kubernetes).
Knowledge of data warehousing concepts and tools (e.g., Snowflake, Redshift, BigQuery).
Familiarity with workflow orchestration tools (e.g., Airflow, Luigi).
Understanding of data governance, security, and compliance.
Preferred Qualifications:
Experience with streaming data (Kafka, Kinesis).
Background in DevOps practices for data pipelines.
Knowledge of machine learning workflows and integration with data pipelines.
ADVANCED CONVERSATIONAL ENGLISH AND SPANISH ESSENTIAL (Will be evaluated).
If you are a foreingner residing in Mexico, you must have a valid INE, CURP, NSS and RFC.
Job type: Remote.
Location: Mexico
Salary: $100,000 gross.
Benefits: Excellent superior benefits.
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Other jobsWhat they ask for
Required
- Proficiency in SQL and experience with relational databases (e.g., Oracle, MySQL, SQL Server)
- Strong programming skills in Python, PL/SQL, Java, or Scala
- Experience with big data technologies (Hadoop, Spark, Databricks) and cloud platforms (AWS, Azure, GCP)
- Hands-on experience with OpenShift or other container orchestration platforms (e.g., Kubernetes)
- Knowledge of data warehousing concepts and tools (e.g., Snowflake, Redshift, BigQuery)
- Familiarity with workflow orchestration tools (e.g., Airflow, Luigi)
- Understanding of data governance, security, and compliance
- Advanced conversational English and Spanish (will be evaluated)
- Foreigners residing in Mexico must have valid INE, CURP, NSS and RFC
Preferred
- Experience with streaming data (Kafka, Kinesis)
- Background in DevOps practices for data pipelines
- Knowledge of machine learning workflows and integration with data pipelines
Skills
- Airflow
- Analytics
- AWS
- Azure
- BigQuery
- Cloud
- Data Analytics
- Data Engineering
- Data Governance
- Data Pipelines
- Data Quality
- Data Warehousing
- Databricks
- DevOps
- ELT
- ETL
- GCP
- Hadoop
- Java
- Kafka
- Kinesis
- Kubernetes
- Machine Learning
- MySQL
- OpenShift
- Oracle
- PL/SQL
- Python
- Redshift
- Scala
- Snowflake
- Spark
- SQL
- SQL Server
- Workflow Orchestration