Senior Data Engineer
Core
Designing and evolving ETL pipelines for data ingestion, transformation, and availability on the Databricks platform.
Role type
Senior Data Engineer
Builds
Data pipelines and integrations for internal consumption by Analytics and Product teams
Domain
Fintech / Data Engineering
Deliverable
production ML models | product features
Required skills
ETL pipeline development, Databricks, AWS, data governance, relational and NoSQL databases, Kafka, Kibana, Elasticsearch
Preferred skills
Databricks certification, experience in high-scale tech or fintech, Data Lakes, large volume data environments
Technologies
Databricks, AWS, Kafka, Kibana, Elasticsearch
Responsibilities
Develop and evolve ETL pipelines for data ingestion and transformation; Act directly on the Databricks platform applying best practices; Organize data catalog ensuring quality and standardization; Build integrations between different data sources; Monitor and evolve production pipelines; Collaborate with Analytics, Product, and Engineering teams; Ensure high-quality, low-latency data availability
Seniority
Senior, hands-on IC
