Data Engineer
Core
Design and implement modern data analytics platforms and pipelines for enterprise clients using cloud data warehouses and ELT tools.
Role type
Senior Data Engineer (Analytics focus)
Builds
Production data pipelines, data models, and analytics infrastructure for clients
Domain
Financial services / Modern Data Stack / Cloud Data Warehousing
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, Cloud providers (Azure/GCP), Git, CI/CD, Infrastructure as Code (Terraform), Data modeling, Technical presentations
Preferred skills
Snowflake, BigQuery, Microsoft Fabric, Databricks, Workato, Boomi, Fivetran, dbt, Looker, Omni, Sigma
Technologies
Snowflake, BigQuery, Microsoft Fabric, Databricks, Workato, Boomi, Fivetran, dbt, Looker, Omni, Sigma, Terraform, Azure, GCP
Responsibilities
Model data using dbt to create business logic; Assess client data infrastructure and propose solutions; Design data model pipelines for specific use cases; Manage data warehouses (schema, access, performance); Manage data ingestion via ELT tools; Deliver training and technical presentations to customers; Participate in pre-sales scope definition.
Seniority
Senior, hands-on IC
