Senior Data Engineer

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

📋 Description

• Design, scale, and take ownership of the data platforms that support a rapidly expanding private-market intelligence product.

• Construct dependable batch and streaming data pipelines.

• Advance lakehouse and warehouse architectures.

• Enhance data quality and governance practices.

• Contribute to elevating the technical standards within the engineering team.

• Work closely with Product, Data Science, and Application Engineering teams to provide essential data capabilities for the business.

⛳️ Requirements

• A minimum of 5 years of experience in Data Engineering or related fields.

• Proficient in Python and SQL.

• Essential hands-on experience with Spark and Databricks.

• Familiarity with managing data workloads in AWS or a comparable cloud platform.

• Comprehensive understanding of contemporary lakehouse and data warehouse architectures.

• Extensive experience in data modeling, including dimensional models and star schemas.

• Proven experience in designing and managing scalable ETL and ELT pipelines.

• Background in both batch and streaming data processing.

• Practical experience with orchestration tools like Airflow, Databricks Workflows, or DBT.

• Knowledge of cloud storage, computing, networking principles, and cost management strategies.

• Experience with CI/CD methodologies for data platforms and Infrastructure as Code.

• Strong English communication skills, at least at a B2 level.

🏝️ Benefits

• Opportunity for remote work.

• Flexible working hours.

• Collaboration with clients from around the globe.

• Compensation in USD.

• Paid holidays and vacation time.

• Paid family and sick leave.

• Access to English language classes.

• Educational and wellness bonuses.

• A structured career development plan with regular salary evaluations.

• Focus on personal growth and mentorship opportunities.