Data Engineer - Python AND Kafka AND (Hadoop OR HDFS OR Hive) AND Snowflake AND apache AND (iceberg
Tasks
- Build data pipelines
- Deploy Kubernetes workloads
- Develop ETL processes
- Ingest data from Kafka
- Manage schema evolution with Iceberg
- Model temporal data with SCD Type 2
- Optimize data partitioning and clustering
- Troubleshoot SQL and scripting issues
Perks/Benefits
- N/A
Skills/Tech-stack
ANSI SQL | Apache Iceberg | Apache Spark | Avro | Avro Schema | CI/CD | Data Clustering | Data Modeling | Data Partitioning | Denormalization | FTP | HDFS | Hadoop | Hive | JSON | Kafka | Kubernetes | Natural Keys | Normalization | Parquet | Python | SCD Type-2 | SDLC | SQL | Schema evolution | Schema management | Snowflake | Surrogate keys | Temporal Data | Temporal Data Modeling | Type 2)
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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