Senior Data Engineer: AWS, Spark & Lakehouse (Remote)

Epam Systems; Buenos Aires; A distancia; ARS 139.086.000 - 231.811.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% remote

Long‑term commitment

Strategic, high-visibility role

Collaborative international team

Descripción de la vacante

Coderio is seeking a Senior Data Engineer to design and optimize scalable data platforms for financial data. The role emphasizes Python, SQL, Apache Spark, AWS, and modern data architectures, with a focus on production-grade systems in fast-paced environments.

Candidates must reside in LATAM and be ready for a fully remote engagement, with a senior-level emphasis on DataOps, governance, and cloud-native design patterns.

Formación

• 5+ years of experience in Data Engineering, Big Data, or related software engineering roles.
• Strong proficiency in Python and SQL for complex data processing and software development.
• Hands-on experience with Apache Spark/PySpark, Delta Lake, and modern lakehouse architectures.
• Strong expertise in AWS data services (S3, Glue, Athena, EventBridge, Firehose, Lambda).
• Experience with data orchestration and warehousing technologies (Airflow, Snowflake/Redshift/BigQuery).
• Experience designing real-time streaming architectures (Kafka/Kinesis) and familiarity with dbt.
• Advanced English proficiency, with clear communication in technical and non-technical contexts.

Responsabilidades

• Design, build, and maintain high-throughput, low-latency batch and streaming data pipelines for financial transactions.
• Design, scale, and optimize cloud data warehouse and lakehouse architectures for massive data sets.
• Collaborate with Data Scientists, Software Engineers, and Product Managers to translate business needs into data solutions.
• Implement data quality frameworks, automated testing, monitoring, and alerting to ensure data integrity and SLAs.
• Drive DataOps practices including CI/CD, workflow automation, and Infrastructure as Code for data systems.
• Champion data governance, privacy, and security standards across data storage and compute layers.
• Mentor junior and mid-level Data Engineers, promoting best practices and modern patterns.

Conocimientos

Python

SQL

Data modeling

Data governance

English proficiency

Herramientas

Apache Spark

PySpark

Delta Lake

Airflow

Snowflake

Redshift

BigQuery

Kafka

Kinesis

dbt

Git

Docker

Terraform

Descripción del empleo

Coderio is seeking a Senior Data Engineer to design and optimize scalable data platforms for financial data. The role emphasizes Python, SQL, Apache Spark, AWS, and modern data architectures, with a focus on production-grade systems in fast-paced environments.

Candidates must reside in LATAM and be ready for a fully remote engagement, with a senior-level emphasis on DataOps, governance, and cloud-native design patterns.