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Zodiac Solutions, Inc

Platform Engineer - Netezza Knowledge

  • Toronto, ON, Canada

Full-time

This opening has closed.

The original listing is kept below for reference.

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Job details

Job type
Full-time
Closing date
Posting language
English
Posted

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Original job description

Archived listing. The details below describe a past opening.

ob 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 Airflow (or AWS Managed Workflows) Databases
  • Experience working with: Netezza is mandatory SQL-based systems: SQL Server and Postgres SQL Data warehouses: Teradata, Redshift, Netezza ETL Tools
  • Hands-on experience with:SSIS Programming & Scripting Strong proficiency in: SQL Shell scripting
  • Good to have: Python Operating Systems
  • Strong experience in Unix/Linux environments
  • Key Qualifications10+ 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, and Airflow Build and optimize data workflows and orchestration pipelines using Airflow Work with real-time streaming technologies such as Kafka and Spark Streaming
  • Perform data ingestion, transformation, and validation from multiple data sourcesOptimize SQL queries for performance and scalability
  • Monitor system performance, troubleshoot issues, and ensure system reliability
  • Collaborate with cross-functional teams including developers, architects, and infrastructure teams
About employer
More about this job

Responsibilities

Design, develop, and support scalable data pipelines and ETL/ELT workflows using Big Data technologies and AWS services. Lead on-premises-to-AWS platform migrations, optimize data processing and SQL performance, monitor reliability, and collaborate with cross-functional teams.

Requirements

Requires 10+ years of experience in data engineering, Big Data, or platform engineering, with mandatory hands-on Netezza experience. Candidates should have strong AWS, SQL, Unix/Linux, shell scripting, and ETL skills; Python is an advantage.

Skills

  • AWS
  • Netezza
  • SQL
  • Data Engineering
  • Big Data
  • Data Pipelines
  • ETL/ELT
  • SSIS
  • Airflow
  • Unix/Linux
  • Shell Scripting
  • Redshift
  • AWS Glue
  • Kafka
  • Spark Streaming
  • Python

Visa sponsorship

Not detected in the job text

Categories

  • Technology
  • Data & Analytics
  • Software
  • Engineering

Keywords

  • AWS
  • Amazon EMR
  • Amazon EC2
  • Amazon S3
  • Amazon VPC
  • Amazon RDS
  • Amazon Redshift
  • AWS Glue
  • AWS IAM
  • Amazon CloudWatch
  • AWS CloudFormation
  • Airflow
  • Netezza
  • SQL Server
  • PostgreSQL
  • Teradata
  • SSIS
  • Pentaho
  • SQL
  • Shell Scripting
  • Python
  • Unix/Linux
  • Data Engineering
  • Big Data
  • Data Warehousing
  • ETL/ELT
  • Data Platform Modernization
  • Cloud Migration
  • Kafka
  • Spark Streaming

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