Senior Data Engineer

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

📋 Description

• Design and implement scalable, efficient, and dependable data architectures.

• Develop and maintain data pipelines, ETL processes, and integration solutions for substantial amounts of structured and unstructured data.

• Enhance data pipelines, databases, data warehouses, and data lakes for optimal performance, reliability, scalability, and security.

• Collaborate with stakeholders to comprehend data requirements and convert business needs into data models and solutions.

• Establish and refine data quality standards, validation rules, documentation, and governance practices.

• Execute monitoring and observability practices.

• Provide technical leadership regarding architecture, scalability, reliability, monitoring, integration, and extensibility.

• Lead and participate in code reviews.

• Mentor junior engineers.

• Manage production issues, including troubleshooting, root-cause analysis, escalation, and long-term solutions.

• Independently oversee multiple features and projects, coordinate tasks among engineers, and keep stakeholders updated.

• Advance engineering tools, platforms, and practices.

• Utilize AI tools to enhance engineering productivity, analysis, documentation, and problem-solving.

⛳️ Requirements

• 8+ years of experience in data engineering, with extensive expertise in data architecture, ETL, and database management.

• Proficient programming skills in Python or PySpark, along with experience in Java or Scala.

• Proven experience in building complex end-to-end data pipelines and data integration solutions.

• Strong SQL knowledge and experience with both relational and NoSQL database technologies.

• Familiarity with big data technologies such as Spark, Kafka, Hadoop, or similar platforms.

• Experience with orchestration and scheduling tools like Airflow, Databricks, Jenkins, or comparable technologies.

• Proven ability to design and operate scalable, reliable, and secure data systems.

• Knowledge of cloud platforms such as AWS, Azure, or GCP and their associated data services.

• Experience working in Agile environments such as Scrum, Lean, or Kanban.

• Strong problem-solving and decision-making abilities.

• Experience mentoring junior engineers and contributing to technical leadership within a team.

• Excellent written and verbal communication skills, with the capability to work effectively across both technical and non-technical teams.

• Willingness to experiment with AI tools and a desire to learn.

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field (preferred).

• Experience with Databricks or relevant certification (preferred).

• Familiarity with AWS Redshift, S3, Azure SQL Data Warehouse, or similar cloud data services (preferred).

• Experience implementing data governance, data quality, or observability frameworks (preferred).

• Experience leading cross-functional or multi-month engineering initiatives (preferred).

• Familiarity with AI-assisted engineering tools (preferred).

🏝️ Benefits

• Competitive compensation and benefits package designed to promote physical, financial, and professional well-being.

• Medical Insurance.

• Savings Fund.

• Life Insurance.

• Internet and Electricity Allowance.

• Paid time off, including vacation and parental leave.