Key skills
ETLELTData Pipeline DevelopmentData Warehouse ArchitectureData Lake ArchitectureStreaming ArchitectureData Quality TestingData MonitoringDatabase Performance TuningSparkApache AirflowApache KafkadbtSnowflakeGoogle BigQueryAmazon RedshiftSQLPythonScalaAWSMicrosoft AzureGoogle Cloud PlatformData Modeling - Star SchemaData Modeling - Data VaultData EngineeringAnalyticsBusiness IntelligenceBigQueryRedshiftKafkaAirflowAzureGCPVaultCollaboration
About this role
CodeRoad Inc provides end-to-end software development services, helping businesses scale with ideal infrastructure solutions. As a Senior Data Engineer, you will own the design and evolution of scalable data pipelines and architectures, ensuring mission-critical data is accessible and reliable.
Responsibilities:
- Design and build robust ETL/ELT processes to handle large-scale data ingestion and transformation
- Lead the evolution of data warehouses, lakes, and streaming architectures to support business intelligence and analytics
- Implement rigorous testing and monitoring to ensure data accuracy, consistency, and security
- Manage and tune database performance, ensuring low-latency access for downstream applications
- Collaborate with Data Scientists and Stakeholders to define data models and support the growth of junior engineers through technical mentorship
Requirements:
- 5+ years of dedicated data engineering experience
- Proficiency with modern data stacks (e.g., Spark, Airflow, Kafka, dbt) and cloud data warehouses (Snowflake, BigQuery, or Redshift)
- Advanced proficiency in SQL and Python or Scala
- Experience building data solutions on AWS, Azure, or GCP
- Strong understanding of data modeling techniques (Star Schema, Data Vault, etc.)
- Advanced English proficiency (written and verbal) for collaboration with US-based clients
- Mandatory experience in nearshore/offshore client-facing startup cultures