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Data Engineer

Data Engineer

Soho Square SolutionsMontreal, QC, Canada
13 days ago
Job type
  • Full-time
Job description

Note : (Hybrid Position)

Only candidates local to Montreal, QC will be Considered. - In Person Interview must

Mention the current Location while submitting the resume.

Summary :

The vulnerability management platforms development squad is looking for a highly skilled Data Engineer with deep expertise in PostgreSQL, Snowflake or ElasticSearch. The ideal candidate will have advanced experience in data modeling, ETL processes, and building large-scale data solutions.

About the Role - A strong technical background in data engineering and streaming services (e.g., Kafka) is required.

Responsibilities

  • Data Pipeline Development : Build, optimize, and manage data pipelines, orchestration tools, and governance frameworks to ensure efficient, high-quality data flow.
  • Data Quality & Governance : Perform data quality checks, enforce governance standards, and apply quality rules to ensure data integrity.
  • Real-time Data Processing : Utilize Python and streaming technologies (e.g., Kafka) for real-time data processing and analytics, with PostgreSQL as the source.
  • Advanced SQL Development : Write complex SQL queries for data manipulation, analysis, and integration.
  • Snowflake or ElasticSearch Architecture & Implementation : Design and implement large-scale data integration solutions using either of them.

Qualifications

  • Experience : 8+ years in IT with a focus on data engineering and architecture.
  • In addition to deep knowledge of PostgreSQL, the candidate should have expertise of Snowflake or ElasticSearch : In-depth knowledge of architecture, functions, and data warehousing concepts.
  • ETL & Data Modeling : Advanced skills in ETL processes, data modeling, and data warehousing.
  • Programming : Proficiency in Python for data engineering tasks.
  • Streaming Services : Experience with Kafka or similar real-time data streaming services.

    • Communication - Strong analytical, architectural design, and communication skills for engaging with diverse technical stakeholders. This role requires a technical expert with a passion for solving complex data challenges and building large-scale data solutions.