Senior Data Engineer to design and build batch and real-time data pipelines on modern data platform technology
Job Type: Contract
Positions to fill: 1
Start Date: Dec 01, 2022
Job End Date: Dec 29, 2023
Pay Rate: Hourly: Negotiable
Job ID: 124905
Location: Ottawa
Our valued client is seeking at Senior Data Engineer to design and build batch and real-time data pipelines on modern data platform technology
For a 1 year contract in Ottawa (100% Remote)
Responsibilities:
For a 1 year contract in Ottawa (100% Remote)
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
- Increase the overall speed in which data is onboarded to the Data and Analytics platform.
- Building robust data pipelines to enable larger data consumption on the Data and Analytics Platform
- Increase the overall quality of data pipeline development through DevSecOps
- Programming experience in Spark using modern languages such as Scala
- Experience working with modern data architectures like Azure Data Lake Storage, Azure Databricks, Azure Synapse (formerly SQL Data Warehouse) and Delta Lakes
- Experience leading Data Engineering principles within an organization/team.
- Experience with database modeling techniques: Data Vaults, Star, Snowflake, 3NF, etc.
- Experience working with streaming data architecture and technologies for real-time: Spark Streaming, 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
- Experience within Azure environment
- Strong Scala and Spark experience
- Experience modernizing data platforms.
- 2 to 3 projects developing Data Vault
