2 months ago
Lima, PeruSenior
Responsibilities
- Design and build robust ETL/ELT processes for large-scale data ingestion and transformation.
- Lead the evolution of data warehouses, data lakes, and streaming architectures.
- Implement testing and monitoring for data accuracy, consistency, and security.
- Tune database performance to provide low-latency access for downstream applications.
- Collaborate with data scientists and stakeholders to define data models.
- Mentor junior engineers and contribute technical leadership.
- Translate complex data requirements into reliable, high-performance data solutions.
Requirements
- 5+ years of dedicated data engineering experience.
- Proficiency with Spark, Airflow, Kafka, dbt, and cloud data warehouses such as Snowflake, BigQuery, or Redshift.
- Advanced SQL proficiency and advanced proficiency in Python or Scala.
- Experience building data solutions on AWS, Azure, or GCP.
- Strong understanding of data modeling techniques including Star Schema and Data Vault.
- Advanced written and verbal English proficiency for collaboration with US-based clients.
- Mandatory experience in nearshore/offshore client-facing startup cultures.
Benefits
- USA contractor position with 100% remote work.
- Competitive pay in USD.
- Holidays off and paid time off.
- Health insurance assistance program.
- Opportunity to work with high-growth US-based companies and cutting-edge technology stacks.
Tech Stack
Amazon RedshiftApache AirflowApache KafkaApache SparkAWSAzureDatabricksdbtGoogle BigQueryGoogle Cloud PlatformPythonScalaSnowflakeSQL
Categories
Data Engineering
About CodeRoad
CodeRoad is a privately held software services firm that delivers end-to-end development and infrastructure solutions for businesses. It offers nearshore staff augmentation, dedicated engineering teams, and general software engineering to help companies scale products and systems. The company operates on a services and consulting model, supporting clients that prefer flexible team extensions and managed delivery rather than building in-house capacity.