Analytics Engineer Sr
Tasks
- Apply data governance with data catalog and data lineage
- Apply dimensional and relational data modeling
- Build and evolve data structures in BigQuery and Delta Lake
- Collaborate with business and data teams
- Create automated data quality tests
- Develop data ingestion and transformation pipelines
- Develop data pipelines using Spark PySpark and SQL
- Ensure data quality, consistency, and security
- Implement CI/CD for data pipelines
- Implement batch and streaming ingestion
- Manage code versioning with Git
- Migrate legacy systems to cloud
- Monitor cloud performance and costs
- Monitor pipeline observability and reliability
- Optimize SQL queries
- Orchestrate data workloads and optimize performance
- Perform ETL and ELT transformations and modeling
- Use dbt for data transformation versioning and best practices
- Work with lakehouse platforms
Perks/Benefits
- N/A
Skills/Tech-stack
Analytics engineering | Automated testing | Batch Processing | BigQuery | CI/CD | Cloud Storage | DBT | Data Catalog | Data Engineering | Data Governance | Data Lineage | Data Quality | Data Vault | Databricks | Dataflow | Delta Lake | Dimensional Modeling | ELT | ETL | GCP | Git | Lakehouse | Monitoring | Observability | PubSub | PySpark | SQL | Snowflake | Spark | Star Schema | Streaming Ingestion
Education
N/A
Roles
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