Lead Data Engineer - Toronto - Astra North Infoteck Inc.

    Astra North Infoteck Inc.
    Astra North Infoteck Inc. Toronto

    3 days ago

    $120,000 - $180,000 (CAD) per year *
    Description

    Experience Required

    • 6–8 years


    Role Description / Key Responsibilities

    • Lead the design and development of end-to-end data pipelines using cloud-native and modern data engineering tools.

    • Architect scalable data ingestion, transformation, and storage solutions across structured and unstructured data sources.

    • Drive implementation of ETL/ELT frameworks, data orchestration, and workflow automation.

    • Collaborate with data architects, product owners, SMEs, and cross-functional teams to gather requirements and define data solutions.

    • Build and govern data models, metadata standards, and data quality frameworks.

    • Optimize data pipelines for reliability, performance, and cost efficiency.

    • Lead the adoption of cloud platforms such as AWS, Azure, or GCP, including services like S3, Glue, Redshift, EMR, Databricks, or Snowflake.

    • Oversee code reviews, best practices, and engineering standards within the team.

    • Ensure data security, compliance, and governance alignment (PII, encryption, audit controls).

    • Mentor junior data engineers and drive continuous improvement initiatives across the team.


    Required Qualifications

    • 8–12 years of experience in data engineering, with at least 3 years leading teams or technical initiatives.

    • Strong hands-on experience with distributed data processing frameworks (Spark, PySpark, EMR, Databricks).

    • Proficiency in building scalable pipelines using ETL/ELT tools and orchestration platforms (Airflow, Glue, DBT, Step Functions).

    • Strong SQL and programming skills (Python, Scala, or Java).

    • Experience with cloud data platforms: AWS (preferred), Azure, or GCP.

    • Knowledge of relational, NoSQL, and analytical databases (Redshift, Snowflake, BigQuery, DynamoDB, etc.).

    • Familiarity with CI/CD pipelines, version control (Git/GitHub), and DevOps practices for data engineering.

    • Strong understanding of data modeling concepts (3NF, Star/Snowflake schema).

    • Excellent communication skills and experience working in onshore/offshore delivery models.


    Skills

    • Digital: Snowflake

    • Digital: Google Data Engineering

    • Digital: PySpark


    * This salary range is an estimation made by beBee
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