Senior Big Data Software Engineer (AWS + Databricks)
Designs and maintains scalable batch and distributed data pipelines on AWS and Databricks, owning their performance, reliability, scalability, and cost efficiency. Works with Python, SQL, Spark, Airflow, and Terraform-based CI/CD to support analytics, automation, and AI-enabled use cases.
- Compensation
- Not disclosed
- Location
- Colombia
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 5+ years of professional experience in Big Data, Data Engineering, or related fields
- Strong proficiency in Python and SQL
- Strong hands-on experience with Apache Spark, distributed data processing, and Databricks
- Solid experience developing data solutions on AWS using services such as AWS Glue, Amazon Athena, and Amazon Aurora
- Practical experience working with relational databases such as PostgreSQL and MySQL
- Familiarity with workflow orchestration technologies such as Apache Airflow and streaming technologies such as Apache Kafka
- Solid experience with CI/CD, version control, and Infrastructure as Code using Terraform or similar technologies
- Upper-intermediate or higher English proficiency
Nice to have
- Java experience
- Familiarity with GenAI, MLOps, machine learning workflows, or AI platform integrations
Full description
About The Role
In this role you will design and develop scalable data processing solutions within AWS environments, working with large-scale and distributed data. You will take ownership of reliable data pipelines and contribute to data platform development, collaborating with engineering, AI, and product teams to support analytics, automation, and AI-enabled solutions
About The Role
In this role you will design and develop scalable data processing solutions within AWS environments, working with large-scale and distributed data. You will take ownership of reliable data pipelines and contribute to data platform development, collaborating with engineering, AI, and product teams to support analytics, automation, and AI-enabled solutions
Responsibilities
- Design, develop, and maintain scalable batch and distributed data processing pipelines to support reliable data processing and integration
- Build and optimize data processing solutions, taking ownership of performance, reliability, scalability, and cost efficiency across data pipelines
- Collaborate with engineering, AI, and product teams to understand requirements and support analytics, automation, and AI-enabled use cases
- Develop data solutions using Python, SQL, Apache Spark, Databricks, and AWS services such as AWS Glue, Amazon Athena, and Amazon Aurora
- Work with relational databases such as PostgreSQL and MySQL to support data processing and integration workflows
- Develop and maintain workflow orchestration using technologies such as Apache Airflow and contribute to reliable data processing workflows
- Contribute to CI/CD, Infrastructure as Code, testing, troubleshooting, and production support activities using Terraform or similar technologies
- Participate in architecture discussions and contribute to the continuous improvement of data platforms and engineering practices
Requirements
- Strong experience in Big Data, Data Engineering, or related fields, with 5+ years of professional experience
- Strong proficiency in Python and SQL, with Java experience considered a plus
- Strong hands-on experience with Apache Spark, distributed data processing, and Databricks
- Solid experience developing data solutions on AWS using services such as AWS Glue, Amazon Athena, and Amazon Aurora
- Practical experience working with relational databases such as PostgreSQL and MySQL
- Familiarity with workflow orchestration technologies such as Apache Airflow and streaming technologies such as Apache Kafka
- Solid experience with CI/CD, version control, and Infrastructure as Code using Terraform or similar technologies
- Familiarity with GenAI, MLOps, machine learning workflows, or AI platform integrations is considered a plus