Senior Analytics Engineer

Description

### **Take a look at the challenges awaiting you as a Senior Analytics Engineer at BV:** * Develop and maintain **data ingestion and transformation pipelines**; * Work with **Lakehouse**; * Work in **GCP and Databricks** environments; * Create and evolve data structures in **BigQuery and Delta Lake**; * Support the definition and implementation of **dimensional and relational modeling** (Star Schema, Snowflake, etc.); * Ensure **data quality, consistency, and security**; * Support cloud performance and cost monitoring activities; * Collaborate closely with business areas and data teams. ### **So, do you identify with this? Now we’d like to know whether you have the profile and knowledge listed below:** * Experience with **Cloud platforms (GCP)** * Proficiency in **BigQuery**: + Data modeling + Query optimization + Performance tuning * Experience with GCP data services: + **Dataflow, Pub/Sub, and Cloud Storage** (a plus) * Strong knowledge of **advanced SQL** * Experience with **dbt (Data Build Tool)** for: + Data transformation + Version control + Implementation of analytical best practices * Experience with **Databricks**: + Developing data pipelines using **Spark (PySpark/SQL)** + Modeling and transformation in Lakehouse environments + Orchestration of workloads and performance optimization + Integration with modern data architectures (Delta Lake, medallion architecture) * Knowledge of **data ingestion**: + Batch and streaming * Experience with **data transformation and modeling**: + ELT/ETL + Dimensional modeling and/or Data Vault * Knowledge of **data governance**: + Data catalog + Data lineage + Access and security policies * Experience with **data quality**: + Automated testing (**dbt tests or similar**) + Pipeline monitoring and observability * Experience with **migrating legacy systems to the cloud** * Knowledge of: + Code versioning (**Git**) + **CI/CD practices applied to data pipelines** * Familiarity with modern concepts: + **Data Products** + **Data Mesh** (a plus) We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.