Data Engineer

2 days ago

Toronto, Ontario, Canada emergiTEL Full time
Job Description:

Key Responsibilities 
Pipeline Development: Design, build, and optimize scalable data ingestion pipelines to extract, transform, and load (ETL) data from source systems (Oracle, SQL MI, MongoDB, file feeds) into Databricks. 
Medallion Architecture Implementation: Lead the adoption and implementation of Medallion architecture (Bronze, Silver, Gold layers) for data processing and reporting in Databricks. 
Data Modeling on Silver Layer: Develop and maintain effective data models within the Silver layer to support standardized, cleansed, and business-ready datasets. Ensure that data relationships, normalization, and transformation logic are well-defined to facilitate downstream analytics and reporting. 
Testing & Validation: Develop automated tests for data pipelines and transformations to ensure reliability and correctness. 
Data Quality & Governance: Ensure data quality, integrity, and consistency throughout the ingestion and transformation processes. Implement data validation, cleansing, and governance best practices. 
Collaboration: Work closely with data analysts, data scientists, and business stakeholders to understand requirements and deliver effective data solutions. 
Automation & Monitoring: Automate data pipeline workflows, monitor performance, and proactively resolve issues to ensure high reliability and availability. 
Documentation: Develop and maintain comprehensive documentation for pipelines, data flows, and architecture decisions. 
Qualifications 
Education: Bachelor's degree in Computer Science, Engineering, Information Systems, or related field. 
Experience: 5 years of hands-on experience in data engineering roles, with a focus on ETL pipeline development and cloud data platforms. 
 
Technical Skills: 
Strong proficiency in SQL and Python or Scala
 Experience with Databricks, Azure Data Factory, Spark, and Medallion architecture 
Proven expertise in database technologies: Oracle, SQL MI, MongoDB 
Familiarity with file-based ingestion (CSV, Parquet, JSON, etc.) 
Expertise in data modeling, especially within the Silver layer of the Medallion architecture. Understanding of data warehousing and reporting concepts 
Preferred:
Experience with cloud platforms (Azure preferred) 
Knowledge of CI/CD tools and practices 
Exposure to data governance and security frameworks
Core Competencies: 
Analytical thinking and problem-solving
 Strong communication and stakeholder management
 Ability to work independently and lead initiatives 
Attention to detail and commitment to data quality 

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