Data Engineer

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

📋 Description

• Design, construct, and maintain scalable data pipelines and ingestion frameworks that support batch processing, streaming, and change data capture methodologies.

• Develop and enhance data processing workflows utilizing Apache Spark and PySpark.

• Implement and oversee data lake architectures on AWS, leveraging Amazon S3 and Apache Iceberg.

• Utilize AWS Glue for ETL orchestration, Athena for serverless querying, and Lambda for event-driven data handling.

• Manage data access controls and security settings through AWS IAM.

• Collaborate with data analysts, data scientists, and platform engineers to comprehend data needs and deliver production-ready solutions.

• Monitor pipeline performance and resolve data quality concerns.

• Execute improvements to guarantee data reliability and freshness.

• Document data flows, architectural decisions, and engineering standards.

⛳️ Requirements

• Extensive hands-on experience with AWS services, including AWS Glue, Amazon S3, Amazon Athena, and AWS IAM.

• Proficient in Apache Spark / PySpark for data processing tasks.

• Familiarity with data lake architectures, preferably with Apache Iceberg.

• Experience with data ingestion patterns, including batch processing, streaming, and CDC methodologies.

• Proficient in SQL for data querying, validation, and exploratory analysis.

• Strong understanding of data modeling and large-scale data processing.

• Ability to work effectively in cross-functional teams and clearly communicate technical concepts to non-technical stakeholders.

• Experience with infrastructure-as-code or pipeline orchestration tools such as Airflow, Step Functions, or dbt is advantageous.

• Familiarity with AI-assisted development workflows and engineering productivity tools.

• Proficient in English, required for effective communication with global teams.

• 2+ years of experience in Data Engineering or related fields, with practical experience in building and maintaining cloud-based data pipelines and lake architectures on AWS.

🏝️ Benefits

• Certifications in AWS, Databricks, and Snowflake.

• Access to AI learning pathways.

• Customized study plans, courses, and additional certifications aligned with your role.

• Access to Udemy Business.

• English language lessons.

• Opportunities for travel to attend industry conferences and meet clients.

• Career development plans and mentorship programs.

• Special rewards for birthdays, work anniversaries, and other personal milestones.

• Company-provided equipment.

• Flexible working arrangements.

• Additional benefits may vary based on your location in LATAM.