Senior Data Engineer AWS - Remote Data Pipelines

Coderio; Rosario; Remote; PHP 5,625,000 - 7,500,000; Full time

Benefits offered by this job

Remote work

Career development

High-visibility role

Collaborative team

Job summary

Coderio is seeking a Senior Data Engineer to design, build, and optimize scalable data platforms supporting large volumes of financial and transactional data. You will work with Python, SQL, Spark, and AWS to deliver high-performance pipelines and lakehouse architectures.

You will collaborate with cross-functional teams to translate business needs into scalable data solutions while enforcing data quality, governance, and security standards.

Qualifications

• 5+ years in Data Engineering or related roles.
• Strong Python and SQL for data processing; Scala/Java a plus.
• Experience with Spark/PySpark, Delta Lake, lakehouse architectures.
• Hands-on with AWS data services (S3, Glue, Athena, EventBridge, Firehose, Lambda).
• Experience with Airflow and data warehouses like Snowflake/Redshift/BigQuery.
• Real-time streaming with Kafka or Kinesis; dbt familiarity.

Responsibilities

• Design, build, and maintain high-throughput data pipelines for financial transactions.
• Scale cloud data warehouse and lakehouse architectures for massive data volumes.
• Collaborate with Data Scientists, Software Engineers, and Product Managers to translate needs into data solutions.
• Implement data quality, automated testing, monitoring, and SLAs.

Skills

Python

SQL

Data Engineering

English proficiency

CI/CD

Tools

Apache Spark

Delta Lake

Airflow

Snowflake

Redshift

BigQuery

Kafka

Kinesis

dbt

Terraform

Docker

Git

GitHub Actions

Job description

Coderio is seeking a Senior Data Engineer to design, build, and optimize scalable data platforms supporting large volumes of financial and transactional data. You will work with Python, SQL, Spark, and AWS to deliver high-performance pipelines and lakehouse architectures.

You will collaborate with cross-functional teams to translate business needs into scalable data solutions while enforcing data quality, governance, and security standards.