Data Engineer
仕事内容
Design and operate scalable ETL pipelines to ingest data from diverse sources for lending analytics.
Enable real-time data availability to support accurate metrics and timely decision-making.
Implement data quality checks, governance practices, and data lineage to ensure trusted insights.
Collaborate with data modellers, product analytics, PMs, and engineers to understand requirements.
Build solutions using AWS services (Glue, Redshift, Athena, Lambda, S3, EMR, Kinesis) and open-source tools (Flink, Spark, Kafka, Airflow, Trino).
Design scalable, event-driven architectures (SNS, SQS, Lambda) and optimize data lifecycle for batch and streaming use cases.
Enable real-time data availability to support accurate metrics and timely decision-making.
Implement data quality checks, governance practices, and data lineage to ensure trusted insights.
Collaborate with data modellers, product analytics, PMs, and engineers to understand requirements.
Build solutions using AWS services (Glue, Redshift, Athena, Lambda, S3, EMR, Kinesis) and open-source tools (Flink, Spark, Kafka, Airflow, Trino).
Design scalable, event-driven architectures (SNS, SQS, Lambda) and optimize data lifecycle for batch and streaming use cases.
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