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• Helping development efforts in ingesting and transforming data from various sources. Working in the Big Data/ Hadoop environment, should be hands on in writing code, building scripts, writing specifications and responsible for end to end delivery of data in the Enterprise Data Lake environment
• Build distributed, reliable and scalable data pipelines to ingest and process data from multiple data sources
• Designing, building, operationalizing the data platform using Google Cloud Platform (GCP) data services such as DataProc, Dataflow, CloudSQL, BigQuery, CloudSpanner in combination with third parties such as Spark, Apache Beam/ composer, DBT, Cloud PubSub, Confluent Kafka, Cloud storage Cloud Functions & Github
• Designing and implementing data ingestion patterns that will support batch, streaming and API interface on both the Ingress and Egress.
• Guide a team of data engineers ...