Senior Data Engineer

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

📋 Description

• Design and develop scalable, efficient, and robust data architectures.

• Collaborate with stakeholders to establish data models and structures.

• Create and implement data pipelines, ETL processes, and data integration solutions.

• Optimize data pipelines for performance, reliability, and scalability.

• Oversee databases, data warehouses, and data lakes management.

• Set data quality standards, validation rules, and governance practices.

• Enhance data quality and documentation of data assets.

• Offer technical guidance and mentorship to junior engineers.

• Lead and engage in code review sessions.

• Work alongside data scientists, analysts, product managers, designers, engineers, and business stakeholders.

• Convert technical concepts into actionable insights and business value.

• Implement monitoring systems to assess pipeline performance and identify bottlenecks.

• Propel the evolution of tools and applications while promoting the adoption of new practices.

• Troubleshoot issues, identify root causes, and either escalate or resolve customer concerns.

• Lead multiple features and projects involving various engineers.

• Keep stakeholders updated and assist the lead/Engineering Manager with work progress and issue escalations.

⛳️ Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, or a related discipline.

• Over 5 years of experience in data engineering with a focus on data architecture, ETL, and database management.

• Proficiency in Python/PySpark and Java or Scala.

• Expertise in Hadoop, Spark, Kafka, and other big data technologies.

• Extensive knowledge of SQL and experience with PostgreSQL, MariaDB, and NoSQL databases.

• Experienced in building complex end-to-end data pipelines.

• Familiarity with orchestration and job scheduling tools like Jenkins, Airflow, or Databricks.

• Comfortable working in an Agile environment such as Scrum, Lean, or Kanban.

• Capable of mentoring junior team members.

• Knowledge of AWS, Azure, GCP, and data services like Redshift, S3, and Azure SQL Data Warehouse.

• Strong leadership, problem-solving, and decision-making abilities.

• Excellent communication and collaboration skills.

• Familiarity with Databricks or relevant certification is a bonus.

🏝️ Benefits

• A diverse, equitable, and inclusive workplace culture.

• Access to employee resource groups.

• Commitment to equal opportunity employment.