Senior Data Engineer

Summary

Join Encora as a Senior Data Engineer and be responsible for designing, developing, and maintaining high-quality software solutions. You will collaborate with cross-functional teams, lead technical projects, mentor junior engineers, and improve software development practices. The role involves working remotely from Colombia or Costa Rica. You will deploy and configure Apache Spark clusters on AWS, develop data pipelines, and optimize queries for efficiency. Collaboration with stakeholders and contributing to a positive team culture are key aspects of this position. The ideal candidate possesses extensive software development experience, expertise in data processing and cloud-based infrastructure, and strong proficiency in Python and PySpark.

Requirements

• Bachelor’s degree in computer science, software engineering, or a related field
• Extensive experience in software development with a focus on designing and building scalable applications
• Professional/Advanced English skills
• 5+ years of data processing experience in large cloud-based infrastructure (AWS is must)
• Hands-on software development experience in Python, with strong proficiency in Py Spark for data engineering tasks and data pipeline development
• Expert understanding of SQL, dimensional modeling, and analytical data warehouses, such as Snowflake
• Understanding of Data Engineering best practices for medium to large scale production workloads
• Expertise with data pipeline orchestration tools, such as Airflow
• Familiar with processing semi-structured file formats such as json or parquet
• Team player with good communication skills
• Problem solver with excellent written and interpersonal skills
• Strong problem-solving skills
• Ability to learn new technical skills

Responsibilities

• Deploy and configure Apache Spark clusters on AWS (particularly EKS), optimizing for performance, resource allocation, and scalability
• Develop, automate, and support robust and reliable Spark data pipelines, focusing on high performance and low latency
• Design and implement highly optimized queries to improve data processing efficiency, streamline analysis, minimize latency, and enhance overall system performance
• Collaborate to make the Data Platform an effective, scalable, and resilient system
• Gather requirements from stakeholders, prioritize work, and document technical solutions clearly and effectively
• Engage with data engineers, data scientists, product managers, and internal stakeholders to align project goals and implementations
• Contribute to a team culture that values quality, robustness, and scalability while fostering initiatives and innovation

Preferred Qualifications

• Experience with Jinja, Shell scripting, DBT
• Developing in Cloud platform using serverless technologies such as glue, lambda, EMR is a plus
• Experience with remote development using AWS SDK is a plus
• Experience with ELT pipelines - DBT
• REST API design and implementation
• Familiarity with containers and infrastructure-as-code principles
• Experience with automation frameworks - Git, Jenkins, and Terraform

Benefits

Remote work