Senior Data Engineer

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

📋 Description

• Design, develop, and maintain secure and scalable ETL/ELT pipelines that process both structured and unstructured data from various sources.

• Construct and enhance data models and processing workflows to meet the needs of BI, analytics, and reporting.

• Create monitoring and alerting solutions to ensure optimal pipeline performance and data integrity.

• Develop insightful dashboards, reports, and datasets using Domo.

• Integrate data from external APIs and third-party systems, including Salesforce.

• Collaborate effectively with Software Engineering, Architecture, Product, Analytics, and IT teams.

• Convert business requirements into solid technical solutions.

• Conduct code reviews and provide constructive feedback to engineering team members.

• Mentor junior data engineers and assist with onboarding processes.

• Engage in Agile ceremonies, such as standups, retrospectives, and planning sessions.

⛳️ Requirements

• Over 5 years of experience in developing and maintaining ELT/ETL systems.

• Strong expertise in SQL, including advanced queries, data modeling, stored procedures, and query optimization.

• Practical experience with Snowflake or BigQuery.

• Proficiency in Python programming.

• Familiarity with AWS cloud-native services such as Kinesis, Lambda, S3, SQS, and CDK.

• Experience in building and maintaining data pipelines from various sources.

• Strong analytical thinking, problem-solving, and debugging capabilities.

• Excellent written and verbal communication skills in English.

• Comfortable in a fast-paced, Agile work environment.

• Nice to Have: Experience in creating datasets, dataflows, and dashboards in Domo.

• Experience with building integrations using SaaS APIs like Salesforce.

• AWS Data Analytics Certification or Snowflake Data Engineering Certification.

• Experience with MongoDB or DynamoDB.

🏝️ Benefits

• Options for remote work.