Job Description
Career Level - IC4
**Data Engineering**:
- Design, develop, and maintain scalable data pipelines and ETL processes to collect, process, and store large volumes of data from diverse sources.
- Implement and optimize distributed computing frameworks such as Apache Hadoop, Apache Spark, or Apache Flink to handle big data processing tasks efficiently.
- Collaborate with cross-functional teams to understand data requirements and deliver innovative solutions for data ingestion, transformation, and storage.
- Monitor and troubleshoot data pipeline performance issues, implementing solutions to improve reliability and efficiency.
**Data Warehousing**:
- Design dimensional data models and database schemas optimized for analytical queries and reporting needs.
- Develop and maintain ETL workflows to extract, transform, and load data from source systems into the data warehouse, ensuring data quality and consistency.
- Implement and optimize data warehouse architectures an...
**Data Engineering**:
- Design, develop, and maintain scalable data pipelines and ETL processes to collect, process, and store large volumes of data from diverse sources.
- Implement and optimize distributed computing frameworks such as Apache Hadoop, Apache Spark, or Apache Flink to handle big data processing tasks efficiently.
- Collaborate with cross-functional teams to understand data requirements and deliver innovative solutions for data ingestion, transformation, and storage.
- Monitor and troubleshoot data pipeline performance issues, implementing solutions to improve reliability and efficiency.
**Data Warehousing**:
- Design dimensional data models and database schemas optimized for analytical queries and reporting needs.
- Develop and maintain ETL workflows to extract, transform, and load data from source systems into the data warehouse, ensuring data quality and consistency.
- Implement and optimize data warehouse architectures an...
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