Sr Data Engineer (Aws)

Coderio; Córdoba; A distancia; ARS 90.595.000 - 181.190.000; Jornada completa

Descripción de la vacante

Coderio is seeking a Senior Data Engineer to design, build, and optimize scalable data platforms for high-volume financial data. You will implement end-to-end data pipelines and lakehouse architectures using Spark, PySpark, Delta Lake, and AWS data services.

You will collaborate with Data Scientists and Software Engineers to translate business needs into robust data solutions, establish data quality frameworks, and drive DataOps practices.

Formación

• 5+ years of experience in Data Engineering, Big Data, or related software engineering roles with production-grade data systems.
• Strong proficiency in Python and SQL for complex data processing and development; Scala/Java a plus.
• Hands‑on experience with Apache Spark/PySpark, Delta Lake, and modern lakehouse architectures including Data Mesh principles.
• 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 using Kafka or Kinesis; familiarity with dbt for data transformation.
• Knowledge of DevOps/DataOps practices (Git, Docker, CI/CD, IaC); cloud platforms such as AWS or GCP.
• Advanced English proficiency required for technical and non-technical communication.

Responsabilidades

• Design, build, and maintain high-throughput batch and streaming data pipelines for financial transactions.
• Design and optimize cloud data warehouse and lakehouse architectures to scale with massive data volumes.
• Collaborate with Data Scientists, Software Engineers, and Product Managers to translate requirements into scalable data solutions.
• Implement data quality frameworks, automated testing, monitoring, and alerting for data reliability and SLA compliance.
• Promote DataOps practices, including CI/CD, workflow automation, and IaC for data systems.
• Champion data governance, privacy, and security standards across data storage and compute layers.

Conocimientos

Python

SQL

Big Data

Data Engineering

English proficiency

Herramientas

Apache Spark

PySpark

Delta Lake

Airflow

Snowflake

Redshift

BigQuery

dbt

Terraform

Databricks

Kafka

Kinesis

Terraform

Descripción del empleo

About Us

Coderio designs and delivers scalable digital solutions for global companies. We combine strong technical expertise with a product mindset to lead complex software initiatives end-to-end. We work with international clients, value autonomy and clear communication, and build long-term partnerships through technical excellence.

We are looking for a Senior Data Engineer to design, build, and optimize scalable, high-performance data platforms supporting large volumes of financial and transactional data. The ideal candidate has strong expertise in Python, SQL, Apache Spark, AWS, and modern data engineering architectures, with proven experience working with production-grade systems in fast-paced environments.

Candidates must reside exclusively in Argentina, Brazil, or Uruguay.

What You Can Expect (Responsibilities)

Design, build, and maintain high-throughput, low-latency batch and streaming data pipelines to ingest and process financial transactions from diverse global sources.

Design, scale, and optimize cloud data warehouse and lakehouse architectures capable of handling massive volumes of structured and unstructured data.

Collaborate with Data Scientists, Software Engineers, and Product Managers to understand business needs and translate them into scalable, reliable data solutions.

Implement and enforce data quality frameworks, automated testing, monitoring, and alerting to ensure data integrity, reliability, high availability, and compliance with SLAs.

Drive the adoption of DataOps practices, including CI/CD, workflow automation, and Infrastructure as Code (IaC) for data systems.

Champion data governance, privacy, and security standards across data storage and compute layers, including GDPR/LGPD compliance.

Mentor and guide junior and mid-level Data Engineers, promoting engineering excellence, best practices, and modern architectural patterns.

Requirements

5+ years of experience in Data Engineering, Big Data, or related Software Engineering roles, with a proven track record managing high-volume, production-grade data systems in fast-paced environments.

Strong proficiency in Python and SQL for complex data processing, optimization, and software development; Scala or Java experience is a plus.

Hands-on experience with Apache Spark/PySpark, Delta Lake, and modern lakehouse architectures, including Data Mesh principles.

Strong expertise in AWS data services, particularly S3, Glue, Athena, EventBridge, Firehose, and Lambda.

Solid experience with data orchestration and warehousing technologies, including Apache Airflow or similar DAG-based tools and platforms such as Snowflake, AWS Redshift, or Google BigQuery.

Experience designing real-time streaming architectures using technologies such as Apache Kafka or AWS Kinesis, as well as familiarity with modern data transformation and modeling tools such as dbt.

Strong knowledge of DevOps/DataOps practices, including Git, Docker, CI/CD pipelines (GitHub Actions, GitLab CI, or similar), Infrastructure as Code, and cloud platforms such as AWS or GCP.

• Advanced English proficiency is required, with the ability to communicate effectively in English in both technical and non-technical contexts.

Nice to Have

Previous experience in Fintech, Payments, E-commerce, or other high-growth technology environments, particularly working with financial transactions or highly regulated data.

Experience with Databricks and advanced cloud lakehouse architectures.

Knowledge of data privacy, governance, and security frameworks, including GDPR/LGPD, as well as experience implementing secure data platforms.

Experience with Infrastructure as Code tools such as Terraform, advanced DataOps automation, and mentoring Data Engineers or contributing to technical architecture decisions.

• 100% remote
• Long-term commitment, with autonomy and meaningful impact
• Strategic, high-visibility role within a modern engineering culture
• Collaborative international team with strong technical leadership
• Career development and growth opportunities within Coderio

At Coderio, we value talent and excellence. While we are primarily a remote-first company, this specific strategic role offers the opportunity to work directly on-site to drive high-stakes initiatives. We are passionate about technology, collaboration, and fair compensation. We offer an inclusive and challenging environment with real growth opportunities. If you are motivated to design solutions that make a difference, we are waiting for you.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.