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Data Engineer/MLOps
4 months ago
We have multiple roles for Data Engineer. 1. Data Engineer ML, 2. GCP Data Engineer. Please see the description below.
Data Engineer/MLOps
Location: Toronto, ON
Job Description:
Mandate Skills: MLOPS, Azure Data bricks, Visualization Experience, SQL, Python
Job Description: Minimum 5 years of experience in Data Engineering role that involves Analyzing, organizing raw data, and building data systems & pipelines in Cloud Platform [Azure]
Experienced in migrating data from on-prem to cloud-based solution architectures [Azure]
Extensive experience with Python, Spark and SQL
Experience in developing ETL processes. Proficient with Azure Data Lake, Azure Data Factory, Azure SQL, Azure Databricks, Azure Synapse Analytics or equivalent tools and technologies
Experience building data lakes & data warehouses to support operational intelligence and business intelligence.
Experience with MLOps and Data visualizations tools e.g. PowerBI.
Excellent written and verbal communication skills.
GCP Data Engineer
Location: Toronto, ON
Description:
10+ years of experience in Data Engineer with 5+ years of strong experience in GCP Big Query, Composer, Airflow, Dataflow, PubSub , stack driver, DataProc . Experience in Migrating data from Hadoop to GCP using Wandisco. Design data pipeline using python to flow data from Hadoop to GCP. Design data pipeline using python to flow data from Oracle to GCP. Experience in Implementing Kafka consumers over NIFI to get the data from real time data Pipelines.
