Connexion Inscription gratuite
Postuler

Publié il y a 5 mois

Senior Data Engineer

@ Techedin

Toutes ses offres

Toronto, Ontario

Temps plein
Postuler
SIGNAUX

Résumé des exigences :

  • Experience: 5+ Years
  • Translate business requirements into data architectures
  • Must-Have Skills
  • Strong experience with Python, Spark (PySpark, Spark SQL), and SQL
  • Hands-on experience with Snowflake and Hive
  • Experience building ETL pipelines using Airflow
Source et dates

Type de source non vérifié · apify-linkedin

Date publiée par l’employeur
2026-06-21
Première détection par notre source
2026-11-11
Mise à jour du dossier source
2026-11-11

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Postuler
ChampValeur
Offres sur Jobsy9
Description
Job Title: Senior Data Engineer

Location: Hybrid (2 days remote), Toronto, Canada

Experience: 5+ Years

Rate: 60 CAD to 70 CAD per hour

Role Summary

We are hiring for the Senior Data Engineer role, where the selected candidate will work on scalable data pipelines and analytics solutions. This position focuses on large-scale data processing, insights generation, and business decision support.

Key Responsibilities

  • Design and build scalable data pipelines (batch and real-time)
  • Translate business requirements into data architectures
  • Solve complex data engineering problems with iterative solutions
  • Build and maintain high-volume data infrastructure
  • Automate cloud workflows, infrastructure, and monitoring
  • Develop CI/CD pipelines to improve deployment and quality
  • Collaborate with data scientists, product managers, and analysts
  • Perform data analysis and data mining for business insights
  • Create dashboards, reports, and KPI tracking systems
  • Deliver ad-hoc analysis and long-term data projects
  • Define and monitor critical business metrics and KPIs
  • Present insights to technical and non-technical stakeholders

Must-Have Skills

  • Strong experience with Python, Spark (PySpark, Spark SQL), and SQL
  • Hands-on experience with Snowflake and Hive
  • Experience building ETL pipelines using Airflow
  • Strong understanding of data modeling and analytical data systems
  • Experience with BI tools: Power BI, Tableau, or Qlik
  • Strong coding skills with clean, maintainable code practices
  • Experience with Git and CI/CD tools (e.g., Jenkins)
  • Familiarity with Jupyter, Zeppelin, or similar notebook environments

Nice-to-Have Skills

  • Experience with Looker
  • Exposure to Tableau or Qlik
  • Familiarity with AWS services and distributed systems
  • Experience with Presto or similar query engines

Certifications

  • Cloud or Data Engineering certifications are a plus

Apply now or share your resume at [email protected], and our recruitment team will review your profile and reach out if it aligns with client requirements.

We value every application and aim to respond to those closely matching the role criteria. Even if you don t hear back this time, we encourage you to stay connected with us for future opportunities.

About The Company

Techedin is a global IT staffing and technology services firm helping enterprises build high-performance tech teams. We support innovation at scale by connecting skilled professionals to leading companies and impactful projects. We prioritize transparency, responsiveness, and the right fit.

Equal Opportunity Statement

At Techedin, we welcome applicants of all backgrounds, communities, and experiences. Our commitment to diversity, equity, and inclusion drives us to create hiring experiences that are open, fair, and human-first.

Emplois semblables

  • Senior Data Engineer

    Toronto, ON
    Temps plein

    Tactable

    8+ ansCandidates need 8+ years in data or software engineering, strong Python and SQL, and experience building production pipelines. Cloud (preferably Azure), CI/CD, infrastructure-as-code, orchestration tools and containers are also required.

    Python, SQL, Azure, ADLS, Airflow, dbt

  • Senior Data Engineer

    Kingston, ON

    Queen's University

    Queen's University needs a candidate with a degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field, plus experience leading teams and with ETL, SQL, databases, big data and cloud data services. Strong Python or Java scripting, analytical skills and clear written and verbal communication are also required.

    Hadoop, Spark, Kafka, Hive, Knox, Tableau

  • Data Engineer – Marketing & Audience Analytics

    Ontario
    Temps plein

    HCLTech

    Candidates need hands-on data engineering experience, advanced SQL and strong Python skills, and experience with customer segmentation, campaign analytics and email marketing data. Strong analytical and troubleshooting skills and experience managing large datasets are also required.

    SQL, Python, Power BI, Azure Communication Services, Snowflake, Databricks

  • Data Engineer, Intermediate

    Guelph, ON

    Linamar - New

    1+ ansCandidates need a bachelor's degree in computer science, IT or a related field, and at least 1 year of data management experience. Strong skills in Microsoft Fabric, SQL data warehouses, SSIS and Power BI are required.

    Microsoft Fabric, Power BI, SSIS, DAX

  • Data Engineer

    Mississauga, ON
    Temps plein

    Tata Consultancy Services

    Candidates need several years of application development experience, strong Python skills, and knowledge of machine learning, NLP and LLMs. Familiarity with TensorFlow, PyTorch or Scikit-learn, SQL and model evaluation metrics is also expected.

    Python, TensorFlow, PyTorch, Scikit-learn, SQL

  • Intermediate Data Engineer

    Toronto, ON
    Contrat

    Swoon

    4+ ansCandidates need about 4+ years of data engineering experience, strong Python and SQL skills, and cloud data platform experience, with AWS preferred. Machine learning operations and PySpark experience are also required.

    Python, SQL, PySpark, AWS

  • Data Engineer

    Toronto, ON
    Temps plein

    J&M Group

    Candidates need hands-on experience with PySpark and Spark SQL, Apache Kafka, the Hadoop ecosystem (HDFS, Hive, YARN), Apache NiFi and SQL. The role also needs strong troubleshooting and data quality skills.

    Apache Kafka, Apache Spark, PySpark, Hadoop, Hive, Apache NiFi

  • Data Engineer

    Ottawa, ON
    Contrat

    Celebal Technologies

    12+ ansCandidates need 12+ years of experience, strong hands-on Databricks skills and expertise in data modeling. They must also know SQL and Python or Scala, and be able to work onsite from day one.

    Databricks

Lieux et modes de travail

Lieux

Tout le CanadaTélétravail · Hybride · Sur place · Sur le terrain

Astuce : ajoutez le télétravail pour élargir la recherche.

Exclure des lieux

Mode de travail

Offres de cette entreprise dans les résultats

Voici les offres de cette entreprise chargées dans votre recherche. Elle peut avoir d’autres postes ouverts.