Senior Data Engineer
Tasks
- Apply data mesh data products and data contracts
- Build greenfield data platforms
- Build streaming and event driven pipelines
- Collaborate with clients to shape solutions
- Design scalable data ecosystems
- Develop batch and real-time data pipelines
- Implement secure compliant data solutions
- Improve data quality, testing, and observability
- Optimize storage formats and access patterns
- Orchestrate data workflows
- Own end to end cloud native data platform architecture
- Process and transform large datasets
- Review designs and mentor engineers
- Set engineering standards and best practices
Perks/Benefits
Skills/Tech-stack
AWS | AWS Glue | Amazon Kinesis | Apache Airflow | Apache Flink | Apache Spark | Argo CD | Avro | BigQuery | CI/CD | Cassandra | Cloud Dataflow | Cloud platform | DBT | Data Modeling | Data Quality | Databricks | Delta Lake | GitHub Actions | Google Cloud | Google Cloud Dataflow | Google Cloud Platform | Google Pub/Sub | Great Expectations | Infrastructure as Code | Kafka | MongoDB | NoSQL | ORC | Observability | Parquet | PostgreSQL | Pub/Sub | Pulumi | Python | SQL | Snowflake | Soda | Terraform | “as-code”
Education
N/A
Roles
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