Senior Analytics Engineer (all genders)
Core
Conceive and implement scalable data models and analytics architectures on modern cloud platforms to support reporting, self-service analytics, and data-driven decisions for DAX and Fortune Global 500 clients.
Role type
Senior Analytics Engineer
Builds
Scalable data models, ELT/transformation pipelines, and analytics landscapes on Data Warehouses and Lakehouses
Domain
Analytics Engineering, Big Data, Machine Learning
Deliverable
production ML models
Required skills
dbt (Core/Cloud), Dimensional Data Modeling (Kimball, Snowflake), SQL, Python, Cloud Data Platforms (Snowflake, Databricks, BigQuery, Redshift), Data Quality, Data Testing, Data Lineage, Data Governance
Preferred skills
Data Vault 2.0, Semantic Layers, modern BI architectures, Great Expectations, Data Catalogues
Technologies
dbt, Snowflake, Databricks, BigQuery, Amazon Redshift, Delta Lake, Apache Iceberg
Responsibilities
Design and develop analytical data models ensuring quality and performance; build robust data transformation processes; establish data quality and governance standards; optimize query performance on cloud platforms; translate business requirements into technical solutions; consult with clients and collaborate with data teams
Seniority
Senior, hands-on IC