Lead Product AI Data Engineer
R131-Bangalore, India
INR 2000K-4000K (estimate) Senior-level Full Time
Tasks
- Build scalable data pipelines for product analytics
- Collaborate with product and data science teams on dataset requirements
- Create dimensional data models using star and snowflake schemas
- Design and evolve product data architecture
- Diagnose and resolve production data issues
- Implement ETL and ELT pipelines for AI workloads
- Implement monitoring testing and alerting for data quality
- Maintain fact and dimension tables with correct grain
- Mentor data engineers through reviews and design discussions
- Validate and reconcile fact and dimension data
Perks/Benefits
Skills/Tech-stack
AWS | Amazon Redshift | Apache Airflow | Azure Data | Azure Data Factory | Clickstream | DBT | Data Architecture | Data Factory | Data Governance | Data Modeling | Data Quality | Data Reconciliation | Data Security | Data pipeline | Dimension tables | Dimensional Modeling | Dimensional data | Dimensional data modeling | ELT | ETL | Event Tracking | Fact tables | Fivetran | Google BigQuery | Grain definition | JSON | Power BI | Python | SCD | SQL | Segment | Slowly Changing Dimensions | Snowflake | Snowflake Schema | Star Schema | Surrogate keys | Tableau
Education
N/A
Roles
AI Data Engineer | Data Engineer | Engineer | Lead | Lead Product AI Data Engineer
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