We are Hiring!!!! Canada
Role : Data Engineer (Junior)
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You will play a pivotal role in designing, developing, and maintaining scalable data pipelines and supporting our data strategy initiatives.
Key Responsibilities:
Design, develop, and optimize data models and schemas to support business needs.
Develop, implement, and maintain efficient ETL pipelines using Spark, Databricks, and other tools.
Write complex SQL queries, stored procedures, and functions to extract, transform, and load data from various sources.
Collaborate with data analytics and business teams to understand data requirements and deliver solutions accordingly.
Leverage Azure Data Services, including Azure Data Lake, Azure Data Factory, and Azure Databricks, to build scalable data solutions.
Ensure data quality, governance, and security standards are maintained throughout all data processes.
Monitor, optimize, and troubleshoot data pipelines to ensure high performance and availability.
Document data architecture, workflows, and procedures, and participate in code reviews and best practice development.
Qualifications:
3 to 5 years of experience in data engineering, with strong expertise in data modelling and SQL.
Must have experience in REST API, GraphQL.
Proven experience with ETL development and data pipeline orchestration.
Hands-on experience working with Azure cloud platform, specifically Azure Data Factory, Data Lake, and Databricks.
Strong knowledge of Spark, Python, or Scala for data processing.
Preferred Qualifications:
Certifications in Azure Data Services or Databricks.
Experience with BI tools and reporting.
Knowledge of other cloud platforms is a plus.
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