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

• Develop and sustain scalable, reliable, and secure data platforms.

• Create and execute robust ETL/ELT processes for both structured and unstructured data.

• Guarantee data quality, lineage, governance, and compliance across data platforms.

• Partner with Data Science and AI teams to deploy machine learning pipelines into production.

• Oversee and resolve issues related to data workflows and system performance.

• 8–10 years of experience required for a Senior Data Engineer role.

• 5–7 years of experience required for a Data Engineer position.

• Familiarity with Snowflake, BigQuery, Amazon Redshift, and Databricks.

• Proficient in Apache Spark, Apache Kafka, and Apache Flink.

• Strong expertise in SQL and NoSQL databases.

• Knowledge of CI/CD pipelines and version control systems.

• Understanding of Docker and Kubernetes.

• Experience with AWS, Azure, and Google Cloud Platform (GCP).

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Opportunities for professional development and continuous learning.

• Flexible working hours and remote work options.

• Engaging and collaborative work environment.

Data Engineer

People also viewed