Data Engineer
Core
Design, build, and maintain scalable data infrastructure, pipelines, and warehousing solutions for a fast-growing tech company.
Role type
Data Engineer
Builds
Scalable data pipelines, ETL/ELT workflows, and data warehousing solutions
Domain
Tech industry, cloud data platforms
Deliverable
production ML models | infrastructure
Required skills
SQL, Python or Scala, ETL/ELT pipeline orchestration, cloud data platforms, data modeling, database optimization, data governance
Preferred skills
Real-time/streaming data pipelines, data lakehouse architectures, ML data infrastructure support, Agile/DevOps practices
Technologies
Apache Airflow, dbt, Snowflake, BigQuery, Redshift, AWS, GCP, Azure, Kafka, Spark, Delta Lake, Apache Iceberg
Responsibilities
Design and maintain robust data pipelines and ETL/ELT workflows; Develop and manage data warehousing solutions; Ensure data quality, integrity, and availability; Optimize query performance and database architecture; Monitor and resolve data pipeline failures; Implement data governance, security, and compliance best practices; Document data models and infrastructure.
Seniority
Mid-Senior (4+ years experience)
