Data Engineer
Core
Architect and deploy ETL/ELT pipelines to ingest, transform, and store data from high-volume sources for real-time analysis and AI workflows.
Role type
Senior Data Engineer (Cloud & AI Infrastructure)
Builds
Production-grade data pipelines, data stores, and governance systems for enterprise intelligence and AI workflows.
Domain
Cloud computing, Data Engineering, Generative AI
Deliverable
production ML models
Required skills
SQL, Python, Rust, Java, Kafka, Flink, Beam, Spark, Airflow, Data modeling, Cloud architecture
Preferred skills
Google Cloud Platform (GCP) ecosystem, Dataflow, Pub/Sub, BigQuery, Cloud Composer, PostgreSQL, NoSQL, Graph databases, Snowflake, Databricks, Vector databases, RAG pipelines
Technologies
Kafka, Flink, Beam, Spark, Airflow, Dataflow, Pub/Sub, BigQuery, Cloud Composer, PostgreSQL, Firestore, MongoDB, Neo4j, Snowflake, Databricks, GCS, Dataproc
Responsibilities
Architect and deploy ETL/ELT pipelines for real-time analysis; Create single source of truth for enterprise intelligence; Optimize data foundations for high-performance AI workflows; Establish automated data security, quality assurance, and governance processes; Design systems for high fault tolerance and rapid disaster recovery; Model for efficient queries, resource usage, workload scheduling, and cost.
Seniority
Senior, hands-on IC
