Sr. Data Engineer
Tasks
- Build ML ready datasets
- Build data pipelines
- Design scalable data architectures
- Develop real time ingestion and streaming
- Ensure data quality and validation
- Establish data contracts and schema evolution
- Implement Change Data Capture
- Mentor junior engineers
- Optimize SQL and Python workflows
Perks/Benefits
- Autonomy
- Collaboration with global teams
- Flexible working hours
- Fully remote
- Remote-first environment
Skills/Tech-stack
AWS | AWS Glue | AWS Kinesis | AWS S3 | AWS Step Functions | Apache Iceberg | Apache Kafka | Apache Parquet | Change Data Capture | Data Capture | Data Lake | Data Quality | Data Validation | Databricks | Databricks Workflows | Debezium | Delta Lake | Dimensional Modeling | ELT | ETL | Feature Engineering | Fivetran | Learning platforms | Machine Learning | Machine Learning Platforms | Medallion Architecture | Monitoring | Observability | PySpark | Python | Real Time | Real-time Streaming | SQL | Snowflake | Step Functions
Education
N/A
Roles
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