Connexion Inscription gratuite
Postuler

Publié il y a 3 mois

Senior Data Engineer (AWS, Big Data, ETL, Netezza, Spark, Kafka, Data Warehousing)

@ Astra North Infoteck Inc.

Toutes ses offres

Toronto, Ontario

Contrat10+ ans d’expérience
Postuler
SIGNAUX

En bref

Astra North Infoteck Inc. is hiring a senior data engineer on contract to design, build and support scalable data pipelines, and to lead on-prem to AWS data platform migration with a Netezza background. The work covers ETL/ELT, Airflow orchestration and real-time streaming with Kafka and Spark. The posting states a minimum of 10 years of data engineering or big data experience and mandatory Netezza experience.

Responsabilités :

  • Design, develop and support scalable data pipelines on Big Data and AWS technologies
  • Lead on-prem to AWS data platform migration
  • Develop and manage ETL/ELT processes using SSIS, Pentaho or similar
  • Build orchestration workflows with Airflow
  • Work with Kafka and Spark Streaming for real-time data

Résumé des exigences :

  • 10+ years in data engineering, big data or platform engineering
  • Mandatory Netezza experience
  • Strong AWS services experience (EMR, S3, Redshift, Glue)
  • Strong SQL and shell scripting skills
  • Strong Unix/Linux experience
  • Python is a good-to-have skill

Outils et compétences

NetezzaAWS EMRAWS S3AWS EC2AWS RedshiftAWS GlueAirflowKafkaSparkSSIS
Source et dates

Type de source non vérifié · zoho

Date publiée par l’employeur
2026-07-30
Première détection par notre source
2026-10-11
Mise à jour du dossier source
2026-10-11

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

Détails du poste

NiveauSenior
DomaineDonnées et analytique
Expérience10 an(s) et plus
Déplacementsavion : aucun · route : aucun
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Postuler

Astra North Infoteck Inc.

Toutes ses offres
ChampValeur
Offres sur Jobsy425
Description

Senior Data Engineer | AWS Cloud | Big Data | ETL | Netezza | Spark | Kafka | Data Platform Modernization

Job Summary

The ideal candidate will have strong expertise in designing, developing, and supporting scalable data pipelines and distributed systems, along with hands-on experience in Big Data ecosystem tools, AWS services, and real-time data processing.

This role involves working on data platform modernization, cloud migrations, Data Warehousing, and ETL in a fast-paced enterprise environment.

Required Technical Skills

Cloud Technologies

• Strong experience in AWS Cloud services:

• EMR

• EC2

• S3

• VPC

• RDS

• Redshift

• AWS Glue

• IAM

• CloudWatch

• CloudFormation

• Experience with:

• Airflow (or AWS Managed Workflows)

Databases

• Experience working with:

• Netezza (Mandatory)

• SQL-based systems:

• SQL Server

• PostgreSQL

• Data warehouses:

• Teradata

• Redshift

• Netezza

ETL Tools

• Hands-on experience with:

• SSIS

• Pentaho or similar ETL tools

Programming & Scripting

• Strong proficiency in:

• SQL

• Shell scripting

• Good to have:

• Python

Operating Systems

• Strong experience in Unix/Linux environments.

Key Qualifications

• 10+ years of experience in Data Engineering / Big Data / Platform Engineering.

Key Responsibilities

• Design, develop, maintain, and support scalable data pipelines using Big Data and AWS technologies.

• Lead and support data platform migration initiatives (On-Prem to AWS Cloud), ideally with Netezza background.

• Develop and manage ETL/ELT processes using tools like SSIS, Pentaho, or similar.

• Implement and manage AWS services such as:

• EMR

• S3

• EC2

• Redshift

• Glue

• Airflow

• Build and optimize data workflows and orchestration pipelines using Airflow.

• Work with real-time streaming technologies such as:

• Kafka

• Spark Streaming

• Perform data ingestion, transformation, and validation from multiple data sources.

• Optimize SQL queries for performance and scalability.

• Monitor system performance, troubleshoot issues, and ensure system reliability.

• Collaborate with cross-functional teams including:

• Developers

• Architects

• Infrastructure teams.


Emplois semblables

  • Senior Data Engineer

    Waterloo, ON +1
    Temps plein

    CarePartners

    7+ ansCandidates need at least 7 years in data roles, strong SQL skills, and experience building ETL or ELT pipelines and data warehouses. Python, healthcare data privacy, and a valid driver's licence with a vehicle and clear criminal record are also required.

    SQL, Python, Snowflake, Databricks, Azure Synapse, Power BI

  • Senior Data Engineer

    Toronto, ON
    Temps plein

    Luxoft

    Candidates need hands-on experience running AWS data platforms, advanced Spark and PySpark skills, and experience with Hudi or Iceberg. Strong Python, Airflow, Terraform and CI/CD experience is required, and experience in financial services is a strong advantage.

    AWS EMR, AWS Glue, Apache Spark, PySpark, Apache Airflow, Terraform

  • Data Engineer (Snowflake)

    Toronto, ON
    Contrat

    Hydro One

    7+ ansCandidates need 7+ years in enterprise data engineering and 3+ years with Snowflake, including Snowpipe and Snowpark. Strong SQL and Python, dbt and orchestration experience, and Git/CI-CD familiarity are required. SnowPro Core certification is preferred.

    Snowflake, dbt, Airflow, dbt Cloud, Git, Snowpipe

  • Senior Data Engineer

    Toronto, ON
    Contrat

    Rivago Infotech Inc

    5+ ansCandidates need 5+ years of SQL Server development on large datasets and 5+ years building ETL pipelines with Databricks PySpark. Experience with cloud data warehouses, dimensional modelling and leading enterprise cloud data platform migrations is required.

    Databricks, PySpark, Spark, Delta Lake, SQL Server, Python

  • Senior Data Engineer

    Toronto, ON
    Temps plein

    Bank of Montreal

    5+ ansCandidates at Bank of Montreal need 5 to 7 years of relevant experience and IT education or certifications. Hands-on skill with ETL/ELT, data warehousing, SQL, Python, Spark and cloud data services is required, plus Agile delivery experience.

    SSIS, AWS Glue, Hadoop, Netezza, JIRA, Spark

    Data Engineer

    Toronto, ON

    Bank of Montreal

    2+ ansBank of Montreal needs candidates with at least 2 years of relevant experience and IT education or certification. They should have hands-on experience with ETL/ELT, data warehousing, SQL, Python, Spark and cloud data services.

    SSIS, AWS Glue, Netezza, Hadoop, Spark, JIRA

  • Senior Data Engineer

    Toronto, ON

    Clutch Technologies Inc.: Clutch is Canada’s largest online used car retailer, delivering a seamless, hassle-free car buying and financing experience to drivers everywhere.

    5+ ansCandidates need 5+ years of data engineering experience with production pipelines, advanced SQL and strong Python skills. Experience with a cloud data warehouse, dbt and Airflow, AWS, data modeling and DevOps tooling is expected.

    Snowflake, dbt, Airflow, Python, AWS, TypeScript

  • Senior Data Engineer

    Mississauga, ON

    Capgemini

    8+ ansCandidates need 8+ years in data engineering and warehousing, with advanced Python, PySpark and SQL skills and strong Microsoft Azure experience. Proven leadership of technical teams and experience with Spark-based big data solutions are required.

    Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, Databricks, Azure Data Lake Storage, Snowflake

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.