Spontaneous Application - Data Engineer
Core
Design, build, and maintain infrastructure and processes for collecting, storing, and analyzing large datasets to support business decision-making and machine learning models.
Role type
Data Engineer
Builds
Data pipelines, data models, and ETL jobs for a B2B sales platform
Domain
SaaS / B2B Sales Enablement
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, Java, SQL, data modeling, cloud data warehousing (Redshift, BigQuery), ETL tools (Spark, Flink, Databricks, Snowflake), messaging systems (RabbitMQ, Kafka), cloud infrastructure knowledge
Preferred skills
NLP model integration, Elasticsearch scaling
Responsibilities
Design and implement data pipelines for data collection, storage, and transformation; Develop and maintain data models and schema; Write and maintain ETL jobs; Collaborate with ML engineers and data analysts; Monitor and optimize data pipelines for quality and performance
Seniority
Mid-level (3+ years experience)
