Data Engineer

Typical Day in Role

• Designing, building, operationalizing the Wealth Data Hub (WDH) 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 Pub/Sub, 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 and work hands on in developing framework and custom code using best practices that will meet the demanding performance requirements
• Take a lead in designing and building production data pipelines from data ingestion to consumption using GCP services, Java, Python, Scala, BigQuery, DBT, SQL etc.
• Experience using Cloud Dataflow using Java/Python for deploying streaming jobs in GCP as well as batch jobs using text/JSON files and writi...