Sr. Data Engineer
4 weeks ago
About the Job:
Mindwire is currently seeking a Senior Data Engineer to work for our valued Crown Corporation client.
This position is remote however the consultant may be required to go on-site one-two times throughout the contract duration.
Responsibilities: Proven design, build and implementation of batch and real-time data pipelines. Driven by automated repeatable delivery of data that aligns to enterprise data governance standards. Experience in developing and proposing data models that conform to requirements. Responsible to ensure the proposed design, optimally addresses access and query patterns; data consumption and adheres to internal architecture standards. Experienced collaboration working with various stakeholders across the business, data scientists and IT. Working closely building relationships, refining data requirements to meet various data and analytics initiatives and data consumption requirements Requirements and Qualifications: Programming experience in Spark using Scala, Python Experience working with modern data architectures like Azure Data Lake Storage, Azure, Azure Synapse (formerly SQL Data Warehouse) and Databricks, Delta Lake, Delta Sharing, Unity catalog, DLT pipelines Experience leading Data Engineering practice within an organization/team. Knowledge and expertise of database modeling techniques: Data Vaults, Star, Snowflake, 3NF, etc. Experience building Rest API integration using Redis Cache, Denodo Experience working with streaming data architecture and technologies for real-time: Spark Streaming, Event hub, Kafka, Flink, Storm Experience working with relational and non-relational database technologies: SQL Server, Oracle, Cassandra, MongoDB, CosmosDB, HBase Experience working with source code and configuration management environments such as Azure DevOps, Git, Maven, Nexus
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