Data Engineer - Toronto - Astra North Infoteck Inc.

    Astra North Infoteck Inc.
    Astra North Infoteck Inc. Toronto

    1 day ago

    $80,000 - $125,000 (CAD) per year *
    Description

    Design, develop, and maintain scalable and reliable data engineering pipelines to support analytics and business intelligence needs


    • Architect, design, and implement solutions that meet stakeholder's needs


    • Architect, implement, and optimize Snowflake data warehouse solutions, including data modeling, performance tuning, and cost optimization


    • Lead and support data migration initiatives, including migration from on-premises or legacy data platforms to Snowflake or other cloud-based solutions


    • Develop and manage ELT/ETL processes using modern data integration tools and frameworks


    • Participate actively in requirements gathering, data modeling, and design sessions


    • Prepare high-level and detailed technical specifications for the projects in accordance with security and architecture documentation objectives


    • Develop detailed plans and accurate estimates for the completion of the build, system testing, and implementation phases of a project


    • Collaborate with data architects, analytics teams, and business stakeholders to translate requirements into technical solutions


    • Running and optimizing SQL queries on RDBMS like MS SQL server, MySQL/MariaDB


    • Ensure data quality, security, governance, and compliance throughout the data lifecycle


    • Develop, code, document, and execute unit tests, systems, integration and acceptance tests, and testing tools for functions of high complexity


    • Troubleshoot and resolve performance, data integrity, and pipeline reliability issues


    • Document architecture, data flows, and operational procedures

    What do you need to succeed?

    Must-have


    • Strong hands-on experience in Data Engineering, including data pipeline development and large-scale data processing


    • Deep expertise in Snowflake architecture, including Virtual warehouses, Micro-partitioning, Clustering and performance optimization, Security and access control


    • Proven experience with data migration projects, including assessment, planning, execution, and validation


    • Minimum 5+ years of experience in software engineering or analytics in creating enterprise data architectures, distributed and microservice software architectures and design patterns


    • Strong SQL skills and experience with data modeling (dimensional and/or data vault)


    • Core SQL database concepts, including creating DDL, DML scripts, normalization, running, and optimizing SQL queries on RDBMS


    • Experience working with cloud platforms (AWS, Azure, or GCP)


    • years of application development experience in Hadoop, NoSQL databases like MongoDB, Cassandra, or HBase


    • Familiarity with orchestration and data integration tools (e.g., Airflow, dbt, Informatica, Fivetran, or similar)


    • Prior experience with Liquibase, Git code repos like GitHub


    • Bachelor's degree in information technology, Computer Science


    • Strong problem-solving skills and ability to work independently in a fast-paced environment


    * This salary range is an estimation made by beBee
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