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Posted 3 months ago

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

@ Astra North Infoteck Inc.

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Toronto, Ontario

Contract10+ years experience
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SIGNALS

Overview

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.

Responsibilities:

  • 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

Requirements summary:

  • 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

Tools & skills

NetezzaAWS EMRAWS S3AWS EC2AWS RedshiftAWS GlueAirflowKafkaSparkSSIS
Source and dates

Source type not verified · zoho

Employer posting date
2026-07-30
First seen by our source
2026-10-11
Source record updated
2026-10-11

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SenioritySenior
DepartmentData & analytics
Experience10+ years
Travelair: none · ground: none
Work settingOffice
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish

Summary and details written by AI from the posting; the employer’s posting is the authority.

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Astra North Infoteck Inc.

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Job 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.


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