Senior Data Engineer — BigQuery & Analytics
Tasks
- Build data processing pipelines and workflows
- Collaborate with product owners and analysts
- Design scalable data warehouse solutions in BigQuery
- Develop dataset architecture and schema design
- Implement cloud native data warehouse migrations
- Implement data quality checks and validation frameworks
- Ingest data into BigQuery from multiple sources
- Model data using star schema and snowflake schema
- Optimize query performance using partitioning and clustering
- Orchestrate workflows using DAGs
- Perform reconciliation processes
- Tune queries and manage workloads
Perks/Benefits
- Continuous learning
- Diverse global culture
- Flexible working hours
- Hybrid work model
- Life insurance
- Paid Holidays
- Private healthcare
- Professional development opportunities
Skills/Tech-stack
Ansible | Apache Airflow | BigQuery | Bitbucket | Chef | Cloud Composer | Cloud platform | Clustering | DAG | Data Modeling | Data Quality | Data Validation | Data Warehouse | Dataflow | Git | Google Cloud | Google Cloud Platform | Partitioning | PySpark | Python | Query Tuning | Reconciliation | SQL | Shell Scripting | Snowflake Schema | Star Schema | Terraform | Workload management
Education
N/A
Roles
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